Pub Date : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783826
Junfeng Bai, Xiang Li, Weibin Wang, Haini Qu
Based on the energy characteristics, this paper constructs a data asset value evaluation model of power grid enterprises, in order to explores the operation and management of power system from a new perspective. Firstly, the influencing factors of data asset value of power grid enterprises are analyzed from the dimensions of data scale, data quality, data management, data application and data risk. Secondly, the evaluation index system of data asset value of power grid enterprises is analyzed based on the above perspectives, and the weighting evaluation is carried out by Delphi method and analytic hierarchy process. The model constructed in this paper provides a theoretical reference for the evaluation practice of data asset value of power grid enterprises in the future.
{"title":"A new perspective of power system operation and management -- Research on power/energy data asset value evaluation model for power grid enterprises","authors":"Junfeng Bai, Xiang Li, Weibin Wang, Haini Qu","doi":"10.1109/ACPEE53904.2022.9783826","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783826","url":null,"abstract":"Based on the energy characteristics, this paper constructs a data asset value evaluation model of power grid enterprises, in order to explores the operation and management of power system from a new perspective. Firstly, the influencing factors of data asset value of power grid enterprises are analyzed from the dimensions of data scale, data quality, data management, data application and data risk. Secondly, the evaluation index system of data asset value of power grid enterprises is analyzed based on the above perspectives, and the weighting evaluation is carried out by Delphi method and analytic hierarchy process. The model constructed in this paper provides a theoretical reference for the evaluation practice of data asset value of power grid enterprises in the future.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187931","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783655
Fei Wang, Kaixiang Yu, Shun Li, J. Mao, Wenqi Niu
With the rapid development of Internet of Things technology, the remote monitoring technology has made rapid development. Based on ARDUINO NANO, ESP8266 and some sensors, A data monitoring system for internal suspended gin pole tower erection construction is developed. In the system, the digital drawing force sensor is used to measure the force status of external stay wire, support rope or internal stay wire of internal suspended gin pole tower erection in real time, as well as inclination sensor, and then the measurement value is transmitted to the mobile phone or PC terminal in real time, in which, the safe force range is set. When the measured drawing force is close to 80% of the safe force or other critical conditions, the alarm signal will be sent and the construction work must be stopped immediately. In this paper, the wireless transmission nodes, the wireless WIFI LAN base station, LAN communication mode and monitoring terminal are designed and implemented, respectively. In practice, there are some advantages for this system, such as good reliability, strong anti-interference ability, low cost, wide application prospects and practical value.
{"title":"A data monitoring system using wireless network for inner suspended gin pole tower erection construction","authors":"Fei Wang, Kaixiang Yu, Shun Li, J. Mao, Wenqi Niu","doi":"10.1109/ACPEE53904.2022.9783655","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783655","url":null,"abstract":"With the rapid development of Internet of Things technology, the remote monitoring technology has made rapid development. Based on ARDUINO NANO, ESP8266 and some sensors, A data monitoring system for internal suspended gin pole tower erection construction is developed. In the system, the digital drawing force sensor is used to measure the force status of external stay wire, support rope or internal stay wire of internal suspended gin pole tower erection in real time, as well as inclination sensor, and then the measurement value is transmitted to the mobile phone or PC terminal in real time, in which, the safe force range is set. When the measured drawing force is close to 80% of the safe force or other critical conditions, the alarm signal will be sent and the construction work must be stopped immediately. In this paper, the wireless transmission nodes, the wireless WIFI LAN base station, LAN communication mode and monitoring terminal are designed and implemented, respectively. In practice, there are some advantages for this system, such as good reliability, strong anti-interference ability, low cost, wide application prospects and practical value.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124701577","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783924
Jingde Chen, Yaqing Li, Junfei Chen, Dan Liu, Yitao Yang
In the operation and maintenance of smart distribution system equipment, in order to improve the intelligence level of inspection and significantly enhance the inspection efficiency and distribution network equipment management, it is critical to effectively identify and warn the partial discharge faults caused by insulation defects. In this paper, a feature extraction and identification method are proposed by experimentally simulating the partial discharges of typical defects inside the distribution network equipment. Firstly, different discharge models are built and the UHF sensor is used to obtain the partial discharge signals, and then the partial discharge statistical characteristics are calculated by analyzing features of the 2D and 3D partial discharge patterns. Based on various supervised machine learning algorithms, 3 typical defects are identified by the statistical characteristics using the classification learner. The results show that the selected statistical characteristics: the maximum amplitude of discharge, the average amplitude of discharge and the ratio of positive and negative half-period total discharge amplitude can well reflect the discharge characteristics of different defects and can distinguish between different types of discharges. At the same time, the identification accuracy of the three discharge types is high, which can achieve an accurate diagnosis of the fault types.
{"title":"Identification of Typical Partial Discharge Defects of Distribution System Equipment Based on Classification Learner","authors":"Jingde Chen, Yaqing Li, Junfei Chen, Dan Liu, Yitao Yang","doi":"10.1109/ACPEE53904.2022.9783924","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783924","url":null,"abstract":"In the operation and maintenance of smart distribution system equipment, in order to improve the intelligence level of inspection and significantly enhance the inspection efficiency and distribution network equipment management, it is critical to effectively identify and warn the partial discharge faults caused by insulation defects. In this paper, a feature extraction and identification method are proposed by experimentally simulating the partial discharges of typical defects inside the distribution network equipment. Firstly, different discharge models are built and the UHF sensor is used to obtain the partial discharge signals, and then the partial discharge statistical characteristics are calculated by analyzing features of the 2D and 3D partial discharge patterns. Based on various supervised machine learning algorithms, 3 typical defects are identified by the statistical characteristics using the classification learner. The results show that the selected statistical characteristics: the maximum amplitude of discharge, the average amplitude of discharge and the ratio of positive and negative half-period total discharge amplitude can well reflect the discharge characteristics of different defects and can distinguish between different types of discharges. At the same time, the identification accuracy of the three discharge types is high, which can achieve an accurate diagnosis of the fault types.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125060483","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783914
Daming Zhang
In this paper, an autonomous microgrid is proposed to supply power to both balanced and un-balanced loads through step-up and step-down transformers and three-phase transmission lines. The microgrid is operated at constant frequency which is maintained by the grid-forming generator, accompanied by a reactive power compensator. The grid-feeding generator outputs maximum power from solar panel to the microgrid while the grid-supporting generator together with the grid-forming generator outputs power to keep voltage variation within limit. Different MPPT methods have been adopted to extract maximum power from PV panels and their effectiveness has been compared. Three-phase transformers in Δ-Y connection with Y’s neutral connected to its local grounding system are adopted to mainly supply power to balanced three-phase loads and also a small percent of unbalanced loads as at the primary Δ-side only positive- and negative-sequence currents can flow and zero-sequence current is effectively blocked. AC-DC-DC-AC converter with medium-frequency transformer isolation and with four-wires at the output is also adopted to mainly supply power to single-phase loads. Fixed-time-step real time modeling in Matlab/Simulink has been conducted to prove the effectiveness of the system. From the simulation results, it is found that such a system can operate with high power quality: frequency being fixed at 50Hz and voltage deviation from rated one being kept well within ±5%.
{"title":"Constant Frequency Operated Autonomous AC Microgrid with Different MPPT Methods Applied to PV Panels and with Converting Circuit for Powering Unbalanced Loads","authors":"Daming Zhang","doi":"10.1109/ACPEE53904.2022.9783914","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783914","url":null,"abstract":"In this paper, an autonomous microgrid is proposed to supply power to both balanced and un-balanced loads through step-up and step-down transformers and three-phase transmission lines. The microgrid is operated at constant frequency which is maintained by the grid-forming generator, accompanied by a reactive power compensator. The grid-feeding generator outputs maximum power from solar panel to the microgrid while the grid-supporting generator together with the grid-forming generator outputs power to keep voltage variation within limit. Different MPPT methods have been adopted to extract maximum power from PV panels and their effectiveness has been compared. Three-phase transformers in Δ-Y connection with Y’s neutral connected to its local grounding system are adopted to mainly supply power to balanced three-phase loads and also a small percent of unbalanced loads as at the primary Δ-side only positive- and negative-sequence currents can flow and zero-sequence current is effectively blocked. AC-DC-DC-AC converter with medium-frequency transformer isolation and with four-wires at the output is also adopted to mainly supply power to single-phase loads. Fixed-time-step real time modeling in Matlab/Simulink has been conducted to prove the effectiveness of the system. From the simulation results, it is found that such a system can operate with high power quality: frequency being fixed at 50Hz and voltage deviation from rated one being kept well within ±5%.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134438148","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784016
Peng Jiang, Jiang Wendong, Jiang Hong, Ge Huangxu, Zhang Huajie, Sun Yuwei
The line sag of a transmission line is an important parameter that reflects the operating status of the line, and it is also one of the state variables that need to be paid attention to in the online monitoring and dynamic capacity increase of the transmission line. In order to grasp the operating status of transmission lines in real time, researchers attach great importance to online monitoring of sag, and several mature monitoring methods have been formed. Based on the actual application situation in the world, this paper conducts analysis and comparative research on the measurement accuracy of sag monitoring by temperature, tension and inclination sensor from the aspects of theory and application. On the premise that the sensor accuracy is high enough, the research results show that the errors of the three methods in monitoring sag are all within 5%, all meeting the engineering requirements. Especially, the error of the tension sensor method can be as small as 1%.
{"title":"Research on the Accuracy of Online Sag Monitoring of Overhead Transmission Line","authors":"Peng Jiang, Jiang Wendong, Jiang Hong, Ge Huangxu, Zhang Huajie, Sun Yuwei","doi":"10.1109/ACPEE53904.2022.9784016","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784016","url":null,"abstract":"The line sag of a transmission line is an important parameter that reflects the operating status of the line, and it is also one of the state variables that need to be paid attention to in the online monitoring and dynamic capacity increase of the transmission line. In order to grasp the operating status of transmission lines in real time, researchers attach great importance to online monitoring of sag, and several mature monitoring methods have been formed. Based on the actual application situation in the world, this paper conducts analysis and comparative research on the measurement accuracy of sag monitoring by temperature, tension and inclination sensor from the aspects of theory and application. On the premise that the sensor accuracy is high enough, the research results show that the errors of the three methods in monitoring sag are all within 5%, all meeting the engineering requirements. Especially, the error of the tension sensor method can be as small as 1%.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001488","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783985
Xing Meng, Pingliang Zeng, Shicong Ma
With increasing penetration of intermittent renewable generation, the mode and characteristics of power system instability have become more complex and difficult to predict. Traditional machine learning prediction models, with different operation modes and topologies of the power grid system, suffers from poor prediction accuracy. This paper proposes a migration learning-based transient stability and quantitative evaluation of fault impact assessment method for hybrid AC-DC power system. Firstly, the characteristics of AC-DC hybrid power grid transient stability feature extraction and pointer are analyzed, then migration learning model and ResNet and their advantages in grid transient prediction are discussed, and a prediction model based on migration learning is built using ResNet18. Finally, the method is applied to the IEEE-39 node test system. Results show that the proposed method can carry out fast stability identification with small number of training samples by using positive sequence voltage data. It has better generalization capability and robustness than traditional machine learning methods.
{"title":"A migration learning-based transient stability and impact assessment method for hybrid AC-DC power system faults","authors":"Xing Meng, Pingliang Zeng, Shicong Ma","doi":"10.1109/ACPEE53904.2022.9783985","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783985","url":null,"abstract":"With increasing penetration of intermittent renewable generation, the mode and characteristics of power system instability have become more complex and difficult to predict. Traditional machine learning prediction models, with different operation modes and topologies of the power grid system, suffers from poor prediction accuracy. This paper proposes a migration learning-based transient stability and quantitative evaluation of fault impact assessment method for hybrid AC-DC power system. Firstly, the characteristics of AC-DC hybrid power grid transient stability feature extraction and pointer are analyzed, then migration learning model and ResNet and their advantages in grid transient prediction are discussed, and a prediction model based on migration learning is built using ResNet18. Finally, the method is applied to the IEEE-39 node test system. Results show that the proposed method can carry out fast stability identification with small number of training samples by using positive sequence voltage data. It has better generalization capability and robustness than traditional machine learning methods.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"426 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133864039","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783943
Q. Duan, Kaiwen Zeng, Jianing Liu, Bin Du, Peng Liao
The grid frequency regulation is a challenging problem in power systems with high renewable penetration. The smart building units (SBUs) consisting of thermostatically-controlled loads have the capability to participate the grid ancillary service considering the users’ comfort level. This paper presents a distributed aggregation control framework for multiple SBUs in a residential community, so that they can be utilized for grid frequency regulation. The proposed method is designed by using a finite-time distributed leader-follower consensus control. A leader control with two-control mode is proposed, which includes (i) frequency regulation mode (ii) comfort restoration mode. The leader control will determine the references of power and comfort state for the aggregated SBU. With the proposed method, the aggregated SBUs will be capable to track power reference and recover energy state in finite-time. The presented aggregation approach can effectively improve the frequency stability with consensus state sharing in SBUs. We have tested the capability of the developed control scheme in a three-region power system under different scenarios.
{"title":"Aggregated Control of Smart Building Units for Frequency Regulation in Multi-Region Power Systems","authors":"Q. Duan, Kaiwen Zeng, Jianing Liu, Bin Du, Peng Liao","doi":"10.1109/ACPEE53904.2022.9783943","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783943","url":null,"abstract":"The grid frequency regulation is a challenging problem in power systems with high renewable penetration. The smart building units (SBUs) consisting of thermostatically-controlled loads have the capability to participate the grid ancillary service considering the users’ comfort level. This paper presents a distributed aggregation control framework for multiple SBUs in a residential community, so that they can be utilized for grid frequency regulation. The proposed method is designed by using a finite-time distributed leader-follower consensus control. A leader control with two-control mode is proposed, which includes (i) frequency regulation mode (ii) comfort restoration mode. The leader control will determine the references of power and comfort state for the aggregated SBU. With the proposed method, the aggregated SBUs will be capable to track power reference and recover energy state in finite-time. The presented aggregation approach can effectively improve the frequency stability with consensus state sharing in SBUs. We have tested the capability of the developed control scheme in a three-region power system under different scenarios.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"118 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133489879","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}
Integrated energy system (IES) is an ideal method to improve the energy utilization efficiency and cut down the emission of CO2. In this paper, different carbon trading mechanisms are applied to study the advantage of ladder-type carbon trading mechanism. Numerical results show its advancement in carbon emission reduction. Then, generators with different capacity and carbon emission intensity are transformed into carbon capture devices respectively to study the influence of carbon capture in low-carbon economic operation of IES. Results show that generators with large capacity and low carbon emission intensity are more suitable to be transformed into carbon capture device.
{"title":"Low-carbon Optimization Operation of Integrated Energy System Considering Ladder-type Carbon Trading and Carbon Capture","authors":"Jiming Chen, Ke Ning, Qing Zhang, Qian Xu, Wencong Chen, Xinwei Yu","doi":"10.1109/ACPEE53904.2022.9784059","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784059","url":null,"abstract":"Integrated energy system (IES) is an ideal method to improve the energy utilization efficiency and cut down the emission of CO2. In this paper, different carbon trading mechanisms are applied to study the advantage of ladder-type carbon trading mechanism. Numerical results show its advancement in carbon emission reduction. Then, generators with different capacity and carbon emission intensity are transformed into carbon capture devices respectively to study the influence of carbon capture in low-carbon economic operation of IES. Results show that generators with large capacity and low carbon emission intensity are more suitable to be transformed into carbon capture device.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133774116","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9783657
Jian Zuo, Peishan Ye, Xiangzhen He, Yun Yang, Yashan Zhong, Cong Fu, Bo Bao, Feng Qian
Day ahead forecasting of residential load (DAFRL) plays a key role in power system. To facilitate precise DAFRL, a neural memory network-based forecasting model was proposed. Firstly, the residential users with similar electricity power consumption mode are to be classified via the K-Means clustering. Thereafter, load data is de-noised with wavelet. A Neural Memory Network (NMN) model is developed to perform combination forecasting of residential users in the end. The discrete Fourier transform is employed to decompose the memory state into multi frequency components, thereafter to implement combination forecast of day ahead load with these frequency components. Various features, mean square error (MSE), Root mean square error (RMSE), Mean absolute error (MAE) included, were calculated to evaluate the capacity of NMN. Compared with the long short-term memory (LSTM), numerical simulation result indicates the proposed approach do better.
{"title":"Day ahead Residential load forecasting with neural memory network","authors":"Jian Zuo, Peishan Ye, Xiangzhen He, Yun Yang, Yashan Zhong, Cong Fu, Bo Bao, Feng Qian","doi":"10.1109/ACPEE53904.2022.9783657","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9783657","url":null,"abstract":"Day ahead forecasting of residential load (DAFRL) plays a key role in power system. To facilitate precise DAFRL, a neural memory network-based forecasting model was proposed. Firstly, the residential users with similar electricity power consumption mode are to be classified via the K-Means clustering. Thereafter, load data is de-noised with wavelet. A Neural Memory Network (NMN) model is developed to perform combination forecasting of residential users in the end. The discrete Fourier transform is employed to decompose the memory state into multi frequency components, thereafter to implement combination forecast of day ahead load with these frequency components. Various features, mean square error (MSE), Root mean square error (RMSE), Mean absolute error (MAE) included, were calculated to evaluate the capacity of NMN. Compared with the long short-term memory (LSTM), numerical simulation result indicates the proposed approach do better.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428524","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 : 2022-04-01DOI: 10.1109/ACPEE53904.2022.9784101
Lu Haiwei, Shi Kejian, Hui Shihan, Furu Wei, Yue Yongbin, Gu Taiyu
Aiming at the problem of the permanent magnet loosening and falling off in the operation of the motor actuator used in vacuum circuit breaker, this paper puts forward three improvement schemes of driving motor rotor, which are rotor convex embedded type, linear embedded type and inverted V embedded type. Numerical simulation method is used to analyze the influence of rotor structure on the operating characteristics of vacuum circuit breaker motor actuator. The results show that the improved structure can effectively avoid the loosening and falling off of the permanent magnet due to mechanical impact, and the reliability of opening and closing operation of vacuum circuit breaker is improved.
{"title":"Analysis of the influence of rotor structure on operating characteristics of motor actuator used in vacuum circuit breaker in distribution network","authors":"Lu Haiwei, Shi Kejian, Hui Shihan, Furu Wei, Yue Yongbin, Gu Taiyu","doi":"10.1109/ACPEE53904.2022.9784101","DOIUrl":"https://doi.org/10.1109/ACPEE53904.2022.9784101","url":null,"abstract":"Aiming at the problem of the permanent magnet loosening and falling off in the operation of the motor actuator used in vacuum circuit breaker, this paper puts forward three improvement schemes of driving motor rotor, which are rotor convex embedded type, linear embedded type and inverted V embedded type. Numerical simulation method is used to analyze the influence of rotor structure on the operating characteristics of vacuum circuit breaker motor actuator. The results show that the improved structure can effectively avoid the loosening and falling off of the permanent magnet due to mechanical impact, and the reliability of opening and closing operation of vacuum circuit breaker is improved.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116977146","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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