Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/34018
Zhengnan Hou, Xiaoxiao Lv, Shengxian Zhuang
Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health pre-progress for SCADA data based on immunity perception (IP) is proposed in this paper. This progress uses the immunity perception to obtain the health information of a single parameter. Two numerical examples are given to validate the progress proposed in this paper.
{"title":"Fault Diagnosis of Wind Turbine SCADA Data via Immunity Perception","authors":"Zhengnan Hou, Xiaoxiao Lv, Shengxian Zhuang","doi":"10.12783/dteees/peems2019/34018","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/34018","url":null,"abstract":"Health monitoring of wind turbine (WT) has gained considerable attention, and the supervisory control and data acquisition (SCADA) data (such as power, temperature, and pressure, etc.) have been analyzed. However, many parameters in SCADA data are inertia parameters, which are easily affected by their inherent inertia. To solve this problem, a health pre-progress for SCADA data based on immunity perception (IP) is proposed in this paper. This progress uses the immunity perception to obtain the health information of a single parameter. Two numerical examples are given to validate the progress proposed in this paper.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82549037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/33973
Bo Wang, Yong Tang
Insulated gate bipolar transistor (IGBT) is the most widely used fully-controlled power electronic device at present. Its limit frequency is generally determined by the maximum junction temperature and maximum power consumption given in the manual, and it is difficult to reflect the nature of thermal failure. Based on the thermal balance analysis of IGBT power consumption-temperature curve and heat transfer curve, the thermal stability point, unstable point and critical point of junction temperature are obtained, thus the IGBT limit power consumption at the critical point is obtained, the design method of IGBT limit frequency is obtained from the tangent of the two curves, and finally the experimental verification is carried out. Introduction IGBT is a kind of compound power semiconductor device which combines the structure of field effect transistor and bipolar power transistor. It has the advantages of high input impedance, fast switching speed, low driving power, reduced saturation voltage, large current bearing, etc. It is widely used in various medium and high power electronic devices and is currently the most widely used full control power electronic device [1] . In the existing power electronic devices, IGBT safe operating area is generally designed based on experience and parameters and curves provided by device manufacturers, and a large margin is usually reserved for ensuring reliability in application. At present, the basic idea of studying IGBT limit frequency at home and abroad is based on the steady-state thermal resistance calculation formula, which is realized through the maximum junction temperature given in the manual. Literature [2] studied the IGBT operating limit according to the relationship between maximum junction temperature, thermal resistance and limiting power consumption. Literature [3] analyzed the on-state limit current and the on-state limit power consumption, and points out that the on-state limit power consumption is the power consumption corresponding to the maximum junction temperature. Literature [4] calculated IGBT switch power consumption and conduction power consumption, and estimated the junction temperature at switch works by using the relationship between power consumption and thermal resistance. Based on the thermal balance analysis of IGBT power consumption-temperature curve and heat transfer curve, this paper obtains the stable point, unstable point and critical point of junction temperature, obtains the limit power consumption of IGBT at the critical point, obtains the limit frequency under certain circuit conditions from the limit power consumption, and finally carries out experimental verification. Theoretical Analysis IGBT thermal failure mainly includes long-term thermal accumulation failure and short-term thermal shock failure. Among them, thermal accumulation failure is mainly caused by poor heat dissipation, excessive current and frequency, and there is a process of thermal accumulation. Heat
{"title":"Research on IGBT Limit Frequency Based on Heat Balance Analysis","authors":"Bo Wang, Yong Tang","doi":"10.12783/dteees/peems2019/33973","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/33973","url":null,"abstract":"Insulated gate bipolar transistor (IGBT) is the most widely used fully-controlled power electronic device at present. Its limit frequency is generally determined by the maximum junction temperature and maximum power consumption given in the manual, and it is difficult to reflect the nature of thermal failure. Based on the thermal balance analysis of IGBT power consumption-temperature curve and heat transfer curve, the thermal stability point, unstable point and critical point of junction temperature are obtained, thus the IGBT limit power consumption at the critical point is obtained, the design method of IGBT limit frequency is obtained from the tangent of the two curves, and finally the experimental verification is carried out. Introduction IGBT is a kind of compound power semiconductor device which combines the structure of field effect transistor and bipolar power transistor. It has the advantages of high input impedance, fast switching speed, low driving power, reduced saturation voltage, large current bearing, etc. It is widely used in various medium and high power electronic devices and is currently the most widely used full control power electronic device [1] . In the existing power electronic devices, IGBT safe operating area is generally designed based on experience and parameters and curves provided by device manufacturers, and a large margin is usually reserved for ensuring reliability in application. At present, the basic idea of studying IGBT limit frequency at home and abroad is based on the steady-state thermal resistance calculation formula, which is realized through the maximum junction temperature given in the manual. Literature [2] studied the IGBT operating limit according to the relationship between maximum junction temperature, thermal resistance and limiting power consumption. Literature [3] analyzed the on-state limit current and the on-state limit power consumption, and points out that the on-state limit power consumption is the power consumption corresponding to the maximum junction temperature. Literature [4] calculated IGBT switch power consumption and conduction power consumption, and estimated the junction temperature at switch works by using the relationship between power consumption and thermal resistance. Based on the thermal balance analysis of IGBT power consumption-temperature curve and heat transfer curve, this paper obtains the stable point, unstable point and critical point of junction temperature, obtains the limit power consumption of IGBT at the critical point, obtains the limit frequency under certain circuit conditions from the limit power consumption, and finally carries out experimental verification. Theoretical Analysis IGBT thermal failure mainly includes long-term thermal accumulation failure and short-term thermal shock failure. Among them, thermal accumulation failure is mainly caused by poor heat dissipation, excessive current and frequency, and there is a process of thermal accumulation. Heat ","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89055080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/33925
Jing Liu, Zhenggang Gao, Kun Chen, Chunfeng Song, DongQin Wang, Yanying He
N-doped graphene (NG)/TiO2 composites were prepared by a hydrothermal method using HF as the surface etchant and urea as the nitrogen source. The morphology and structure of the NG /TiO2 composites were characterized by X-ray diffraction (XRD), transmission electron microscope (TEM), UV-visible diffuse reflectance spectroscopy (UV-Vis DRS) and specific surface area (BET). The pore size distribution of the composite and the effect of NG addition on the photocatalytic properties were studied. The photocatalytic properties of the composite were evaluated under UV and sunlight conditions respectively. The results show that TiO2 is uniformly loaded on the surface of NG, and NG/TiO2 is mesoporous material. The introduction of NG can effectively improve the photocatalytic properties, 5wt% NG/TiO2 has the best photocatalytic degradation effect on methylene blue. The degradation rate of methylene blue is 96.30% at 30 min under UV and 99.87% at 180 min under sunlight.
{"title":"Photocatalytic Degradation of Dye Wastewater by NG/TiO2 Composite","authors":"Jing Liu, Zhenggang Gao, Kun Chen, Chunfeng Song, DongQin Wang, Yanying He","doi":"10.12783/dteees/peems2019/33925","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/33925","url":null,"abstract":"N-doped graphene (NG)/TiO2 composites were prepared by a hydrothermal method using HF as the surface etchant and urea as the nitrogen source. The morphology and structure of the NG /TiO2 composites were characterized by X-ray diffraction (XRD), transmission electron microscope (TEM), UV-visible diffuse reflectance spectroscopy (UV-Vis DRS) and specific surface area (BET). The pore size distribution of the composite and the effect of NG addition on the photocatalytic properties were studied. The photocatalytic properties of the composite were evaluated under UV and sunlight conditions respectively. The results show that TiO2 is uniformly loaded on the surface of NG, and NG/TiO2 is mesoporous material. The introduction of NG can effectively improve the photocatalytic properties, 5wt% NG/TiO2 has the best photocatalytic degradation effect on methylene blue. The degradation rate of methylene blue is 96.30% at 30 min under UV and 99.87% at 180 min under sunlight.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87787187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/34021
Xu Zhilong, Sun Yuwei, Zhu Jianbao, Chao Ye, Chen Yu, Zhongyi Wang
This paper evaluates the risk of transmission equipment fault combined with the safety of transmission equipment based on condition monitoring. First of all, the monitoring system monitors important parameters related to the environment, electricity, and machinery in the operation of the power transmission equipment to determine the operating status of the power transmission equipment. Secondly, the impact of transmission equipment on power system risks is reflected by risk indicator. The proposed risk indicator combines the probability of transmission equipment failure and the importance of the equipment. Finally, a reliable and safe maintenance method is determined while taking into account the operating status (reliability) of the transmission equipment and the impact (importance) of the equipment on the system. This method can more reasonably allocate maintenance resources and improve the reliability and safety of power system operation. Introduction Power transmission equipment is the key to the operation of the power system, because there are a large number of power transmission equipment in a system. And their characteristics are different (age, failure probability, impact of failure), so their maintenance methods are very complicated. When formulate a transmission equipment maintenance strategy, not only the operation status of the transmission equipment itself, but also the impact of the transmission equipment outage on the system should be considered. The operation status of the transmission equipment should be evaluated and analyzed according to the selected condition monitoring parameters. This method uses state monitoring parameters to evaluate the overall state of the power transmission equipment and estimate the probability of the fault status of the power transmission equipment, and propose a comprehensive maintenance decision combining the operating status (reliability) of transmission equipment and the impact of equipment on the system (safety). The purpose of this method is to reduce the risk of power system operation. According to the maintenance decision index, the power transmission equipment is divided into normal status, timely maintenance, emergency maintenance and replacement maintenance. The rest of the paper is organized as follows. Section II discusses the methods for risk assessment. Section III introduces the state recognition technology of transmission equipment. The section IV analyzes the failure probability of transmission equipment, and proposes a risk assessment model of transmission equipment combined with importance. Section V introduces the maintenance strategies for transmission equipment. An example analysis is performed in Section VI. The last part gives the conclusion. Risk Assessment Method for Transmission Equipment In the past few decades, power system risk assessment and management has been widely used in almost every level of power systems, namely power generation, transmission and distribution sys
{"title":"Fault Risk Assessment of Transmission Equipment Based on Condition Monitoring","authors":"Xu Zhilong, Sun Yuwei, Zhu Jianbao, Chao Ye, Chen Yu, Zhongyi Wang","doi":"10.12783/dteees/peems2019/34021","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/34021","url":null,"abstract":"This paper evaluates the risk of transmission equipment fault combined with the safety of transmission equipment based on condition monitoring. First of all, the monitoring system monitors important parameters related to the environment, electricity, and machinery in the operation of the power transmission equipment to determine the operating status of the power transmission equipment. Secondly, the impact of transmission equipment on power system risks is reflected by risk indicator. The proposed risk indicator combines the probability of transmission equipment failure and the importance of the equipment. Finally, a reliable and safe maintenance method is determined while taking into account the operating status (reliability) of the transmission equipment and the impact (importance) of the equipment on the system. This method can more reasonably allocate maintenance resources and improve the reliability and safety of power system operation. Introduction Power transmission equipment is the key to the operation of the power system, because there are a large number of power transmission equipment in a system. And their characteristics are different (age, failure probability, impact of failure), so their maintenance methods are very complicated. When formulate a transmission equipment maintenance strategy, not only the operation status of the transmission equipment itself, but also the impact of the transmission equipment outage on the system should be considered. The operation status of the transmission equipment should be evaluated and analyzed according to the selected condition monitoring parameters. This method uses state monitoring parameters to evaluate the overall state of the power transmission equipment and estimate the probability of the fault status of the power transmission equipment, and propose a comprehensive maintenance decision combining the operating status (reliability) of transmission equipment and the impact of equipment on the system (safety). The purpose of this method is to reduce the risk of power system operation. According to the maintenance decision index, the power transmission equipment is divided into normal status, timely maintenance, emergency maintenance and replacement maintenance. The rest of the paper is organized as follows. Section II discusses the methods for risk assessment. Section III introduces the state recognition technology of transmission equipment. The section IV analyzes the failure probability of transmission equipment, and proposes a risk assessment model of transmission equipment combined with importance. Section V introduces the maintenance strategies for transmission equipment. An example analysis is performed in Section VI. The last part gives the conclusion. Risk Assessment Method for Transmission Equipment In the past few decades, power system risk assessment and management has been widely used in almost every level of power systems, namely power generation, transmission and distribution sys","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76535594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/34010
F. Gao, N. Zhan, X. Bu, Dong-Liang Geng, Xiang-Rong Li, Lin-Lin Wu
Using the virtual proving ground technique, CAE work can be put in front. Major performance problems of vehicles will be found and handled in advance to improve the research and development efficiency and reduce costs for automotive manufactures. However, this technique is relatively difficult to be implemented in NVH due to the complexity of tire modeling and other problems. Therefore, to deal with these issues, a complete simulation procedure for vehicle road noise was studied in this paper, in which PSD information of test road and CDTire model were integrated as the input of the whole vehicle simulation model successfully. The types of roads and tires, and tire mechanical parameters were compared investigated to provide useful suggestion to automotive manufacturers for NVH design.
{"title":"Research on Vehicle Road Noise Simulation Based on Virtual Proving Ground Technique","authors":"F. Gao, N. Zhan, X. Bu, Dong-Liang Geng, Xiang-Rong Li, Lin-Lin Wu","doi":"10.12783/dteees/peems2019/34010","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/34010","url":null,"abstract":"Using the virtual proving ground technique, CAE work can be put in front. Major performance problems of vehicles will be found and handled in advance to improve the research and development efficiency and reduce costs for automotive manufactures. However, this technique is relatively difficult to be implemented in NVH due to the complexity of tire modeling and other problems. Therefore, to deal with these issues, a complete simulation procedure for vehicle road noise was studied in this paper, in which PSD information of test road and CDTire model were integrated as the input of the whole vehicle simulation model successfully. The types of roads and tires, and tire mechanical parameters were compared investigated to provide useful suggestion to automotive manufacturers for NVH design.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81247823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/33967
Yong-Mei Liu, Siying Zhang, L. Min, Fangjie Li, Han Zhang
TiO2 nanomaterials and ZnO doped TiO2 nanomaterials were synthesized by sol-gel method. The gas sensing properties of ZnO-doped TiO2 nanomaterials were investigated by using a parathermal gas sensor. Studies have shown that the responsiveness of ZnO-doped gas sensor to ethanol gas is increased from 80% to 87%, and the response recovery time is shortened to (1.5s, 1s). This method improves the gas sensitivity of the sensor. Introduction With the increasing emphasis on environmental protection, higher requirements are placed on the detection and monitoring of industrial waste gas, toxic and harmful gases, and the research of gas sensor has become an important research topic [1-3]. Semiconductor gas sensors have been widely studied due to their small size, low cost, simple structure, simple preparation and long service life. At present, the widely used gas sensor materials are ZnO and TiO2, which have good sensitivity to many gases such as ethanol, methane, hydrogen sulfide, carbon monoxide, etc. [4-9], semiconductors made of ZnO and TiO2. Gas sensors can be widely used in the monitoring of toxic gases in various fields of production and living. Generally, gas sensing elements prepared by using pure semiconductor metal oxide powder have low sensitivity, high operating temperature, and difficult performance to meet applicable requirements. At present, the gas of semiconductor metal oxides is mainly improved by methods such as compounding and doping [10]. Sensitive performance. Taking TiO2 as an example, the doping of elements can significantly change the band gap energy of TiO2 and lead to diversified physicochemical properties, thereby improving the detection performance of the sensor on the target gas. By doping the TiO2 gas sensitive material, the sensitivity can be greatly improved.
{"title":"Study on the Gas Sensitivity Properties of TiO2 Nanoparticles Modified by ZnO","authors":"Yong-Mei Liu, Siying Zhang, L. Min, Fangjie Li, Han Zhang","doi":"10.12783/dteees/peems2019/33967","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/33967","url":null,"abstract":"TiO2 nanomaterials and ZnO doped TiO2 nanomaterials were synthesized by sol-gel method. The gas sensing properties of ZnO-doped TiO2 nanomaterials were investigated by using a parathermal gas sensor. Studies have shown that the responsiveness of ZnO-doped gas sensor to ethanol gas is increased from 80% to 87%, and the response recovery time is shortened to (1.5s, 1s). This method improves the gas sensitivity of the sensor. Introduction With the increasing emphasis on environmental protection, higher requirements are placed on the detection and monitoring of industrial waste gas, toxic and harmful gases, and the research of gas sensor has become an important research topic [1-3]. Semiconductor gas sensors have been widely studied due to their small size, low cost, simple structure, simple preparation and long service life. At present, the widely used gas sensor materials are ZnO and TiO2, which have good sensitivity to many gases such as ethanol, methane, hydrogen sulfide, carbon monoxide, etc. [4-9], semiconductors made of ZnO and TiO2. Gas sensors can be widely used in the monitoring of toxic gases in various fields of production and living. Generally, gas sensing elements prepared by using pure semiconductor metal oxide powder have low sensitivity, high operating temperature, and difficult performance to meet applicable requirements. At present, the gas of semiconductor metal oxides is mainly improved by methods such as compounding and doping [10]. Sensitive performance. Taking TiO2 as an example, the doping of elements can significantly change the band gap energy of TiO2 and lead to diversified physicochemical properties, thereby improving the detection performance of the sensor on the target gas. By doping the TiO2 gas sensitive material, the sensitivity can be greatly improved.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"165 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87538760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/34022
Ma Qingshan, Sun Yuwei, Deng Weichao, Yu Xinchun, Zhu Jianbao, Zhongyi Wang
This paper proposes a method for evaluating the operating status and reliability of power transmission equipment in power systems. First, by analyzing the aging factors, common faults, and major faulty components of the main transmission equipment, the main condition monitoring parameters of each transmission equipment are determined. Then, the key parameters such as the environment, machinery, and electricity of the transmission equipment are monitored to obtain the operating status data of the transmission equipment, and fault limits and alarm limits are set to determine the operating status of the transmission equipment. Finally, a health index for monitoring parameters and a comprehensive health index for transmission equipment are proposed. This method has a wider scope of application and a more specific analysis process than previous methods, which is conducive to analyzing the working status of power transmission equipment and improving the reliability and safety of normal operation of the power system. Introduction The operating status of power equipment is closely related to the safety and reliability of the power system. Failure of power equipment will cause local or large-scale power outages and result the entire power system in an unsafe operating state. Therefore, it is necessary to adopt reasonable maintenance strategies for power equipment, timely discover and solve problems in the operation of power equipment, and ensure that the system can supply power safely and reliably. The accuracy and reliability of the judgment method of fault diagnosis will directly affect the normal operation and maintenance of power transmission equipment, and even affect the safety and reliable operation of the entire power system. With the application of a large number of sensing technologies and intelligent terminal equipment, a fault diagnosis method for power transmission equipment based on condition monitoring is one of the effective means to improve the efficiency of equipment condition maintenance and improve the ability of fault discrimination. This paper proposes a method for measuring fault conditions of power transmission equipment based on condition monitoring data. This method determines the status of the power transmission equipment by analyzing the common fault types of the power transmission equipment. Based on the study of the environmental, electrical, and mechanical condition monitoring parameters of the transmission equipment, the corresponding relationship between the monitoring parameters and the fault is established. This paper is organized as follows. The second II analyzes the transmission equipment, and analyzes the main aging factors and fault types of the transmission equipment. The section III introduces the process of condition monitoring of transmission equipment and the transmission equipment condition monitoring technology and the main monitoring parameters of transmission equipment. The section IV takes the SF6 circuit
输变电设备的状态监测过程为:(1)第一步是对被监测的输变电设备进行分析，分析设备的主要故障类型、故障的主要组成部分和故障涉及的主要参数，确定设备的监测参数。(2)第二步是对设备的主要故障参数进行监测和采集，并对参数进行处理。(3)第三步采用阈值法设置参数的故障限位和报警限位，并将采集到的参数与限位进行比较，对设备的运行状态做出初步判断。(4)第四步是计算设备的健康指数，确定设备的运行趋势和必要的维护措施。设备监控信号状态识别参数限制(门限法)维护措施设备分析信号采集(传感器)信号处理对比输变电设备状态监测流程图。输变电设备在运行过程中不可避免地会产生温度、压力、电流、电压、振动、能量等信号。根据不同的状态监测要求，可以选择不同的信号来指示输变电设备的状态。该系统能够监测传输设备运行的几个关键参数，发现潜在的故障，判断传输设备的运行状态。这些参数可能与传动设备所处的环境、机械磨损、气体密度和运行过程中的电量有关。在输变电设备监控技术中，采用了一些传感器，如压力传感器、光纤传感器等，与微处理器结合来执行监控任务。表1列出了需要监控的几种传输设备和信号。一旦某个参数超过限制值，监控系统将产生告警。表1。传输设备监测参数。设备监测参数电容绝缘设备介质损耗正切、电容、电流避雷器总电流中的电阻电流电缆介质损耗正切、电容、电流互感器溶解气体含量高压断路器温度、气压、开闭线圈电流、机械振动本文假设向量m X (m= 1,2…)反映一个被监测参数随时间的变化(m为被监测输入的个数)。在任何设备运行过程中，如果某一数值达到故障限制值，则称为故障限制值m F。告警限位设置有上下限、最大值、最小最大值。向量m D表示故障限位与告警限位的差值[7]:max max max =， 1,2，…， m m m D F A m k谜底(1)min min min =， 1,2，…(2)为确定设备是否安全可靠运行，对被监控设备的参数阈值图进行设计，如图2所示。如果被监控设备的主要参数值不超过告警限值，且位于区域1，则设备安全可靠。如果监控的参数值超过告警阈值且未超过故障阈值，则该设备位于区域2，说明该设备可能处于告警状态。如果被监控参数值超过故障限制值，且位于区域3，则说明被监控设备处于故障状态，不安全、不可靠。max 1 X min 1 X max 2 X min 2 X max 1 A min 1 A max 2 A min 2 A Area 1 Area 2 Area 3图2。被监控传输设备参数阈值图。m X V表示m X超过上下限告警阈值时的值。当向量m X超过故障极限值时，认为对应的m X V为故障。麦克斯，麦克斯，麦克斯。m X m m m m V X A如果X A(3)min min max，。* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *m X m m m m m V如果A X A<s:1> <e:1>(5)当m X超过告警阈值但未超过故障阈值时，向量m X V在阈值范围内。当mx在要求的告警范围内时，其值为零。选取4个SF6断路器CB # 1、CB # 2、CB # 3、CB # 4为例。所选断路器按安装位置和功能分为电抗器断路器、母线断路器、变压器断路器和线路断路器。分析了断路器的主要故障部件及需要监测的参数。所选断路器的特性如表2所示。 表3给出了主要监控参数及其故障限和告警限的上下限。表2。选择断路器功能。断路器类型主要故障部件主要监测参数CB#1电抗器断路器触点，脱扣锁紧机构，辅助触点温度，0
{"title":"Fault Analysis of Transmission Equipment Based on Condition Monitoring","authors":"Ma Qingshan, Sun Yuwei, Deng Weichao, Yu Xinchun, Zhu Jianbao, Zhongyi Wang","doi":"10.12783/dteees/peems2019/34022","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/34022","url":null,"abstract":"This paper proposes a method for evaluating the operating status and reliability of power transmission equipment in power systems. First, by analyzing the aging factors, common faults, and major faulty components of the main transmission equipment, the main condition monitoring parameters of each transmission equipment are determined. Then, the key parameters such as the environment, machinery, and electricity of the transmission equipment are monitored to obtain the operating status data of the transmission equipment, and fault limits and alarm limits are set to determine the operating status of the transmission equipment. Finally, a health index for monitoring parameters and a comprehensive health index for transmission equipment are proposed. This method has a wider scope of application and a more specific analysis process than previous methods, which is conducive to analyzing the working status of power transmission equipment and improving the reliability and safety of normal operation of the power system. Introduction The operating status of power equipment is closely related to the safety and reliability of the power system. Failure of power equipment will cause local or large-scale power outages and result the entire power system in an unsafe operating state. Therefore, it is necessary to adopt reasonable maintenance strategies for power equipment, timely discover and solve problems in the operation of power equipment, and ensure that the system can supply power safely and reliably. The accuracy and reliability of the judgment method of fault diagnosis will directly affect the normal operation and maintenance of power transmission equipment, and even affect the safety and reliable operation of the entire power system. With the application of a large number of sensing technologies and intelligent terminal equipment, a fault diagnosis method for power transmission equipment based on condition monitoring is one of the effective means to improve the efficiency of equipment condition maintenance and improve the ability of fault discrimination. This paper proposes a method for measuring fault conditions of power transmission equipment based on condition monitoring data. This method determines the status of the power transmission equipment by analyzing the common fault types of the power transmission equipment. Based on the study of the environmental, electrical, and mechanical condition monitoring parameters of the transmission equipment, the corresponding relationship between the monitoring parameters and the fault is established. This paper is organized as follows. The second II analyzes the transmission equipment, and analyzes the main aging factors and fault types of the transmission equipment. The section III introduces the process of condition monitoring of transmission equipment and the transmission equipment condition monitoring technology and the main monitoring parameters of transmission equipment. The section IV takes the SF6 circuit ","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74752293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/33950
Jun Gao, Ling-ling Song
Drinking water sources protection was related to human health. However, outstanding problems existed in effectively raising the funds needed to protect the drinking water sources. This paper aimed at summarizing the relevant experience and practices of drinking water source protection funds at home and abroad, proposing the preliminary conception of constructing government-led application of drinking water source environmental protection fund in China. The construction ideas were put forward from the aspects of source of funds, use of funds, and management methods of funds. Introduction Environmental protection of drinking water sources was an important part of ensuring the safety of drinking water and human health. At present, the sources of funds for China's drinking water source protection projects mainly include relevant national special funds, provincial financial funds and local financial funds. The amount of the money was not stable and the money was conditioned by multiple factors. It was difficult to form a stable protection mechanism for drinking water sources. Exploring the establishment of drinking water source funds was an effective way to establish diversified investment channels, and promoting effective supply of drinking water source protection funds. Research Background and Significance The use of funds at home and abroad had achieved remarkable results. It had been confirmed that government input alone was unable to solve complex environmental problems. It was especially important to stimulate the enthusiasm of enterprises and society for environmental protection. The United States had successful experience in using market-based mechanisms to solve water environmental problems.The Clean Water State Revolving Fund built in 1987 played a larger capital amplification role. It attracted corporate and social capital into the field of environmental protection. Druing the past thirty years, it Provided more than $89 billion in financing for the United States. In addition, the US Drinking Water State Revolving Fund had also played an important role in guiding social capital investment in the protection of drinking water sources. China's SME credit guarantee fund, which was established in Suzhou, Jiangsu and other places, had accumulated successful experience in breaking through the bottleneck of SME financing. Research and promoting establishment of drinking water source environmental protection funds was important to absorb social capital and supplementary financial input. On the one hand, establishing a reasonable income mechanism to absorb the social capital. on the other hand, the fund could be used to support the drinking water sources protection engineering. The mode adopted coudle be free subsidy or Interest-free or low-interest loan. The fund could also encourage social capital to implement projects in PPP mode. Domestic and Foreign Drinking Water Source Protection Fund Research Stable Source Channels Ensure Continuous Injection
{"title":"Research on Drinking Water Sources Environment Protection Funds","authors":"Jun Gao, Ling-ling Song","doi":"10.12783/dteees/peems2019/33950","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/33950","url":null,"abstract":"Drinking water sources protection was related to human health. However, outstanding problems existed in effectively raising the funds needed to protect the drinking water sources. This paper aimed at summarizing the relevant experience and practices of drinking water source protection funds at home and abroad, proposing the preliminary conception of constructing government-led application of drinking water source environmental protection fund in China. The construction ideas were put forward from the aspects of source of funds, use of funds, and management methods of funds. Introduction Environmental protection of drinking water sources was an important part of ensuring the safety of drinking water and human health. At present, the sources of funds for China's drinking water source protection projects mainly include relevant national special funds, provincial financial funds and local financial funds. The amount of the money was not stable and the money was conditioned by multiple factors. It was difficult to form a stable protection mechanism for drinking water sources. Exploring the establishment of drinking water source funds was an effective way to establish diversified investment channels, and promoting effective supply of drinking water source protection funds. Research Background and Significance The use of funds at home and abroad had achieved remarkable results. It had been confirmed that government input alone was unable to solve complex environmental problems. It was especially important to stimulate the enthusiasm of enterprises and society for environmental protection. The United States had successful experience in using market-based mechanisms to solve water environmental problems.The Clean Water State Revolving Fund built in 1987 played a larger capital amplification role. It attracted corporate and social capital into the field of environmental protection. Druing the past thirty years, it Provided more than $89 billion in financing for the United States. In addition, the US Drinking Water State Revolving Fund had also played an important role in guiding social capital investment in the protection of drinking water sources. China's SME credit guarantee fund, which was established in Suzhou, Jiangsu and other places, had accumulated successful experience in breaking through the bottleneck of SME financing. Research and promoting establishment of drinking water source environmental protection funds was important to absorb social capital and supplementary financial input. On the one hand, establishing a reasonable income mechanism to absorb the social capital. on the other hand, the fund could be used to support the drinking water sources protection engineering. The mode adopted coudle be free subsidy or Interest-free or low-interest loan. The fund could also encourage social capital to implement projects in PPP mode. Domestic and Foreign Drinking Water Source Protection Fund Research Stable Source Channels Ensure Continuous Injection","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80157595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/34015
Mingze Zhang, Yicheng Huang, Min Wang
When the wind power is connected to the distribution network, the access points and the access capacity of each point in the distribution network will also affect the stability of the distribution network. Therefore, based on the fuzzy C clustering of wind speed, this paper optimizes the location and capacity of wind power in the distribution network by using the proposed entropy index of power flow which reflects the power flow equilibrium degree of the system. Firstly, typical wind speed and output scenarios are selected through scenario clustering, and then the flow entropy index reflecting system stability is adopted to optimize the location and capacity of wind power. The improved IEEE33 was used to verify the method. Introduction With the development of energy technology, it is imperative to connect renewable energy such as wind power to distribution network. However, due to the inherent uncertainty of wind power, it is bound to affect the stability of distribution network. Therefore, how to plan the access location of wind power in distribution network and the access capacity of wind power in each access location is very important [1,2]. Since the randomness of wind power output is strong, the randomness of wind power generation needs to be analyzed before planning and optimization. A probability distribution can be used to describe the randomness of variables comprehensively. Since the randomness of different meteorological variables is not the same, they must correspond to different theoretical distribution models. The results show that the wind speed probability distribution curve can be fitted by a statistical model. Common fitting models include Rayleigh model, log-normal distribution model, Gamma distribution model and two-parameter Weibull distribution model [3]. However, in the process of calculating the probability distribution function, parameter estimation is difficult. At the same time, the accuracy of the probability function is difficult to guarantee because of too many uncertain factors. Scenario analysis can exactly solve the above problems. The scenario set describes the probability of the possible occurrence of uncertain events in the future. Since the probability measure of random events can be observed, the scenario set can comprehensively reflect the occurrence of full probability scenarios [4,5]. Too many scenarios will result in too much computation. Therefore, the scene needs to be clustered. Fuzzy C Mean (FCM) is a classification based Fuzzy clustering method. By describing the membership of samples to different categories, this algorithm can objectively cluster, which can overcome the defects of traditional clustering algorithm of either/or, and occupies an important position in Fuzzy clustering [6]. Since the access of wind power will inevitably affect the power flow distribution of the system, the power flow distribution of the system also affects the stability of the system. Therefore, this paper proposes to us
{"title":"Optimization of Wind Power Configuration in Distribution Network Based on Scenario Clustering and Power Flow Entropy","authors":"Mingze Zhang, Yicheng Huang, Min Wang","doi":"10.12783/dteees/peems2019/34015","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/34015","url":null,"abstract":"When the wind power is connected to the distribution network, the access points and the access capacity of each point in the distribution network will also affect the stability of the distribution network. Therefore, based on the fuzzy C clustering of wind speed, this paper optimizes the location and capacity of wind power in the distribution network by using the proposed entropy index of power flow which reflects the power flow equilibrium degree of the system. Firstly, typical wind speed and output scenarios are selected through scenario clustering, and then the flow entropy index reflecting system stability is adopted to optimize the location and capacity of wind power. The improved IEEE33 was used to verify the method. Introduction With the development of energy technology, it is imperative to connect renewable energy such as wind power to distribution network. However, due to the inherent uncertainty of wind power, it is bound to affect the stability of distribution network. Therefore, how to plan the access location of wind power in distribution network and the access capacity of wind power in each access location is very important [1,2]. Since the randomness of wind power output is strong, the randomness of wind power generation needs to be analyzed before planning and optimization. A probability distribution can be used to describe the randomness of variables comprehensively. Since the randomness of different meteorological variables is not the same, they must correspond to different theoretical distribution models. The results show that the wind speed probability distribution curve can be fitted by a statistical model. Common fitting models include Rayleigh model, log-normal distribution model, Gamma distribution model and two-parameter Weibull distribution model [3]. However, in the process of calculating the probability distribution function, parameter estimation is difficult. At the same time, the accuracy of the probability function is difficult to guarantee because of too many uncertain factors. Scenario analysis can exactly solve the above problems. The scenario set describes the probability of the possible occurrence of uncertain events in the future. Since the probability measure of random events can be observed, the scenario set can comprehensively reflect the occurrence of full probability scenarios [4,5]. Too many scenarios will result in too much computation. Therefore, the scene needs to be clustered. Fuzzy C Mean (FCM) is a classification based Fuzzy clustering method. By describing the membership of samples to different categories, this algorithm can objectively cluster, which can overcome the defects of traditional clustering algorithm of either/or, and occupies an important position in Fuzzy clustering [6]. Since the access of wind power will inevitably affect the power flow distribution of the system, the power flow distribution of the system also affects the stability of the system. Therefore, this paper proposes to us","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80162880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-01DOI: 10.12783/dteees/peems2019/33920
Hao Wu, Lingwei Zheng
At present, the clean and low-carbon energy has become the development trend of all countries. Especially in China, the coal based energy structure not only guarantees the social and economic development of the country, but also causes serious ecological damage, so the energy transformation is imminent. The development of renewable energy is an important choice for energy transformation. This paper uses mathematical model to calculate the overall development trend of China's energy, and then uses diamond model to analyze the macro environment for renewable energy industry, to clarify the basis and challenges for renewable energy industry, so as to provide reference for the formulation of macro policies and industrial. Introduction Diamond model through four factors of industry, namely production factors, demand conditions, supporting industries and peer competition, in addition, there are opportunities and government two factors for comprehensive analysis. Using diamond model to analyze renewable energy industry is to analyze the production capacity, market demand, competition with traditional energy and advantages and disadvantages of policy. The diamond model is shown in Figure 1. Figure 1. Diamond model. Overall Situation of China's Energy Development Overall Situation of Energy Structure In 2018, China's primary energy consumption totaled 4.64 billion standard coal (tce) with electric power accounting for 25.5% of the terminal energy consumption [1] . Non fossil energy accounts for Enterprise strategy, structure and horizontal competition Related and supporting industries production factors Demand conditions Opportuni ty
{"title":"Numerical and Model Analysis of the Development Trend of Renewable Energy in China","authors":"Hao Wu, Lingwei Zheng","doi":"10.12783/dteees/peems2019/33920","DOIUrl":"https://doi.org/10.12783/dteees/peems2019/33920","url":null,"abstract":"At present, the clean and low-carbon energy has become the development trend of all countries. Especially in China, the coal based energy structure not only guarantees the social and economic development of the country, but also causes serious ecological damage, so the energy transformation is imminent. The development of renewable energy is an important choice for energy transformation. This paper uses mathematical model to calculate the overall development trend of China's energy, and then uses diamond model to analyze the macro environment for renewable energy industry, to clarify the basis and challenges for renewable energy industry, so as to provide reference for the formulation of macro policies and industrial. Introduction Diamond model through four factors of industry, namely production factors, demand conditions, supporting industries and peer competition, in addition, there are opportunities and government two factors for comprehensive analysis. Using diamond model to analyze renewable energy industry is to analyze the production capacity, market demand, competition with traditional energy and advantages and disadvantages of policy. The diamond model is shown in Figure 1. Figure 1. Diamond model. Overall Situation of China's Energy Development Overall Situation of Energy Structure In 2018, China's primary energy consumption totaled 4.64 billion standard coal (tce) with electric power accounting for 25.5% of the terminal energy consumption [1] . Non fossil energy accounts for Enterprise strategy, structure and horizontal competition Related and supporting industries production factors Demand conditions Opportuni ty","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82377610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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