Pub Date : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918309
Fuhong Cui, Baoge Zhang
As the penetration of the distributed energy source in the grid is becoming higher and higher. However, power electronic converters in micro-grid seriously harm the stability of power system, due to the lack of necessary inertia and damping. To deal with the problem, Virtual synchronous machine (VSG) control is applied to simulate the inertia and damping of synchronous generator (SG), However, constant moment of inertia and damping coefficient cannot ensure the power and frequency regulation performance, and cannot make the system frequency and power response stability and rapid when the disturbance occurs. Therefore, the paper proposes a VSG rotational inertia and damping coefficient adaptive control strategy to improve the rapidity and stability of the power system. Firstly, the working principle of VSG is introduced, Secondly, Based on VSG control, a cooperative adaptive control strategy of inertia and damping coefficient is proposed, The stability analysis under the change of corresponding parameters is given; Finally, the simulation results of VSG under fixed and adaptive control are compared by MATLAB/Simulink simulation, Testify the effectiveness of the proposed control strategy.
{"title":"Adaptive Control Strategy for Moment of Inertia and Damping Coefficient of Virtual Synchronous Generator","authors":"Fuhong Cui, Baoge Zhang","doi":"10.1109/ICPET55165.2022.9918309","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918309","url":null,"abstract":"As the penetration of the distributed energy source in the grid is becoming higher and higher. However, power electronic converters in micro-grid seriously harm the stability of power system, due to the lack of necessary inertia and damping. To deal with the problem, Virtual synchronous machine (VSG) control is applied to simulate the inertia and damping of synchronous generator (SG), However, constant moment of inertia and damping coefficient cannot ensure the power and frequency regulation performance, and cannot make the system frequency and power response stability and rapid when the disturbance occurs. Therefore, the paper proposes a VSG rotational inertia and damping coefficient adaptive control strategy to improve the rapidity and stability of the power system. Firstly, the working principle of VSG is introduced, Secondly, Based on VSG control, a cooperative adaptive control strategy of inertia and damping coefficient is proposed, The stability analysis under the change of corresponding parameters is given; Finally, the simulation results of VSG under fixed and adaptive control are compared by MATLAB/Simulink simulation, Testify the effectiveness of the proposed control strategy.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577649","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918278
Yongpeng Shen, Ting He, Junchao Xie, Weihua Liang
In this paper, the dynamic programming for optimal battery energy control in e-CNY vehicle-to-grid implementation is investigated from two levels. At the hardware implementation level, an e-CNY V2G real-time settlement system composed of V2G pile side DC energy measurement, e-CNY real-time settlement device and e-CNY digital wallet on electric vehicle side is constructed, which provides a real-time measurement real-time transaction-real-time settlement mechanism for electric vehicle users to participate in power grid interaction conveniently and efficiently. At the algorithm level, taking user revenue as the optimization object, and the SOC value and power as the constraints, the dynamic programming based battery energy optimal control method is proposed and validate under various initial values through numerical experiments.
{"title":"Dynamic Programming for Optimal Battery Energy Control in e-CNY Vehicle-to-Grid Implementation","authors":"Yongpeng Shen, Ting He, Junchao Xie, Weihua Liang","doi":"10.1109/ICPET55165.2022.9918278","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918278","url":null,"abstract":"In this paper, the dynamic programming for optimal battery energy control in e-CNY vehicle-to-grid implementation is investigated from two levels. At the hardware implementation level, an e-CNY V2G real-time settlement system composed of V2G pile side DC energy measurement, e-CNY real-time settlement device and e-CNY digital wallet on electric vehicle side is constructed, which provides a real-time measurement real-time transaction-real-time settlement mechanism for electric vehicle users to participate in power grid interaction conveniently and efficiently. At the algorithm level, taking user revenue as the optimization object, and the SOC value and power as the constraints, the dynamic programming based battery energy optimal control method is proposed and validate under various initial values through numerical experiments.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116079051","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918430
Wei Zhang, Weijun Xu, Yutao Hu, Junjie Yin
Advanced adiabatic compressed air energy storage (AA-CAES) is an electric energy storage system that can realize large-capacity and long-term electric energy storage. In the process of energy storage which additional producted variety of energy flows can be used as a micro-integrated energy system(MIES). considering the multi-energy flow co-supply characteristics of AA-CASE, in order to study the multi-energy flow supply scheduling strategy. this paper builds a general energy exchange analysis model based on the energy hub (Enery Hub), and conducts modular matrix modeling for the internal components of AA-CAES, such as compressors, turbines, and heat exchangers, analyze its thermodynamic properties and energy flow generation efficiency. on this basis, in order to maximize the economy, an optimal scheduling model of AA-CAES based on matrix modeling of EH is proposed. Finally, use the common compressed air energy storage system equipment data to simulation verification.
{"title":"Multi Energy Flow Optimal Scheduling Model of Compressed Air Energy Storage Based on Matrix Modeling of Energy Hub","authors":"Wei Zhang, Weijun Xu, Yutao Hu, Junjie Yin","doi":"10.1109/ICPET55165.2022.9918430","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918430","url":null,"abstract":"Advanced adiabatic compressed air energy storage (AA-CAES) is an electric energy storage system that can realize large-capacity and long-term electric energy storage. In the process of energy storage which additional producted variety of energy flows can be used as a micro-integrated energy system(MIES). considering the multi-energy flow co-supply characteristics of AA-CASE, in order to study the multi-energy flow supply scheduling strategy. this paper builds a general energy exchange analysis model based on the energy hub (Enery Hub), and conducts modular matrix modeling for the internal components of AA-CAES, such as compressors, turbines, and heat exchangers, analyze its thermodynamic properties and energy flow generation efficiency. on this basis, in order to maximize the economy, an optimal scheduling model of AA-CAES based on matrix modeling of EH is proposed. Finally, use the common compressed air energy storage system equipment data to simulation verification.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122635027","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}
Internal overvoltage of transformer caused by VFTO can threaten the security of the transformer. When the pulse wave invades the transformer with short-circuit fault to ground, the extremely uneven voltage distribution in the internal windings will not only endanger the safety of windings but also affect the stability of power system. The internal distribution parameters of the transformer winding model is necessary for the analysis of the short-circuit fault to ground based on MTL theory. By establishing a distributed parameter model of the transformer winding model with 16 turns, this paper analyzes the influence of the variation of distribution parameters in case of short-circuit to ground fault, then the modified short-circuit model to ground is applied to a transformer winding model with 180 turns. The results show that the modified model can well simulate the change of short-circuit fault to ground. The voltage waveform distribution between turns is extremely uneven.
{"title":"Simulation of Short Circuit to Ground of Transformer Winding Based on MTL Model","authors":"Wenchang Song, Zongyang Wang, Shuang Tian, Jun Guo, Yuhao Chen, Yan-zhao Xie","doi":"10.1109/ICPET55165.2022.9918261","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918261","url":null,"abstract":"Internal overvoltage of transformer caused by VFTO can threaten the security of the transformer. When the pulse wave invades the transformer with short-circuit fault to ground, the extremely uneven voltage distribution in the internal windings will not only endanger the safety of windings but also affect the stability of power system. The internal distribution parameters of the transformer winding model is necessary for the analysis of the short-circuit fault to ground based on MTL theory. By establishing a distributed parameter model of the transformer winding model with 16 turns, this paper analyzes the influence of the variation of distribution parameters in case of short-circuit to ground fault, then the modified short-circuit model to ground is applied to a transformer winding model with 180 turns. The results show that the modified model can well simulate the change of short-circuit fault to ground. The voltage waveform distribution between turns is extremely uneven.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129561110","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918366
Dong Yin, Wen-bin Yu, Qiying Li, Xiangguo Liu, Bin Wan, Xiao Liu, Liang Ran
Transient overvoltage of power grid threatens the high voltage insulation and safe operation of power equipment. At present, there is no effective measure of transient overvoltage. In this paper, a transient overvoltage optical monitoring method based on capacitor voltage transformer (CVT) is proposed. A capacitor C3for transient measuring is connected to the low voltage end of capacitive voltage divider of conventional CVT. Optical voltage sensor (OVS) is used to measure transient overvoltage. A CVT prototype with transient overvoltage measurement function is developed, and lightning impulse voltage tests are carried out. The test results show that the prototype can meet the requirements of transient overvoltage measurement, and the effectiveness of the proposed scheme is verified. The optical voltage measuring module is used to measure and analyze the transient voltage at the ground point caused by the transient ground potential rise found in the test process, which has certain guiding significance for the design and selection of grounding conductors at the ground points and electromagnetic compatibility design of secondary equipment connected with the primary equipment.
{"title":"Experimental Study on Transient Overvoltage Measurement Based on Capacitive Voltage Transformer","authors":"Dong Yin, Wen-bin Yu, Qiying Li, Xiangguo Liu, Bin Wan, Xiao Liu, Liang Ran","doi":"10.1109/ICPET55165.2022.9918366","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918366","url":null,"abstract":"Transient overvoltage of power grid threatens the high voltage insulation and safe operation of power equipment. At present, there is no effective measure of transient overvoltage. In this paper, a transient overvoltage optical monitoring method based on capacitor voltage transformer (CVT) is proposed. A capacitor C3for transient measuring is connected to the low voltage end of capacitive voltage divider of conventional CVT. Optical voltage sensor (OVS) is used to measure transient overvoltage. A CVT prototype with transient overvoltage measurement function is developed, and lightning impulse voltage tests are carried out. The test results show that the prototype can meet the requirements of transient overvoltage measurement, and the effectiveness of the proposed scheme is verified. The optical voltage measuring module is used to measure and analyze the transient voltage at the ground point caused by the transient ground potential rise found in the test process, which has certain guiding significance for the design and selection of grounding conductors at the ground points and electromagnetic compatibility design of secondary equipment connected with the primary equipment.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079332","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918411
Sun Shuo, Jiang Hai-long, Li Chao, Ding Yi-yang
In this work, an MIV-OSELM prediction model is constructed to predict the state of charge (SOC) of lead-acid battery, which combines the mean impact value (MIV) algorithm and the online sequence extreme learning machine (OSELM) algorithm. This model uses the MIV method to quantitatively calculate the impact value of the input variables on the output variables, and completes selection of the input variables of model; the OSELM method is used to carry out incremental learning of new samples generated during the use of battery, and track the potential impact of battery's state of health (SOH) on the SOC prediction of battery in a timely manner. Compared with the prediction results of other models, the MIV-OSELM method can improve the prediction accuracy of SOC during the charging and discharging processes of lead-acid batteries, which also has the adaptive ability to make dynamic adjustment of the model parameters according to the information of new samples.
{"title":"The SOC Prediction of Lead-Acid Battery Based on MIV-OSELM Algorithm","authors":"Sun Shuo, Jiang Hai-long, Li Chao, Ding Yi-yang","doi":"10.1109/ICPET55165.2022.9918411","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918411","url":null,"abstract":"In this work, an MIV-OSELM prediction model is constructed to predict the state of charge (SOC) of lead-acid battery, which combines the mean impact value (MIV) algorithm and the online sequence extreme learning machine (OSELM) algorithm. This model uses the MIV method to quantitatively calculate the impact value of the input variables on the output variables, and completes selection of the input variables of model; the OSELM method is used to carry out incremental learning of new samples generated during the use of battery, and track the potential impact of battery's state of health (SOH) on the SOC prediction of battery in a timely manner. Compared with the prediction results of other models, the MIV-OSELM method can improve the prediction accuracy of SOC during the charging and discharging processes of lead-acid batteries, which also has the adaptive ability to make dynamic adjustment of the model parameters according to the information of new samples.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129712256","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918228
Yufang Liu, Di Huang, Cheng Huang, Jiaqi Xu, Taotao Li, Shixi Ma
The design of the transaction mechanism is one of the key points in the construction of the power market. This paper presents an energy trading method based on VCG auction mechanism for multi-type prosumer market. Firstly, the basic theory of VCG auction mechanism is introduced. Then, the mechanism of VCG market framework is designed. For the multi-type markets, an auxiliary parameter is used to establish the augmented Lagrangian model. The objective function of the model is transformed into several sub-problems, and the alternating direction multiplier method (ADMM) is used to solve the multi-block problem. In the real-time market phase, the stochastic nature of renewable power generation and fixed load is considered for real-time transactions with the power grid. Finally, the simulation results show that the proposed market transaction mechanism is economically beneficial to prosumers and the power grid, has high computational efficiency, and is beneficial to the sustainable development of the prosumer market.
{"title":"Energy Trading for Multi-type Prosumer in Context of Electricity-Carbon Coupled Market","authors":"Yufang Liu, Di Huang, Cheng Huang, Jiaqi Xu, Taotao Li, Shixi Ma","doi":"10.1109/ICPET55165.2022.9918228","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918228","url":null,"abstract":"The design of the transaction mechanism is one of the key points in the construction of the power market. This paper presents an energy trading method based on VCG auction mechanism for multi-type prosumer market. Firstly, the basic theory of VCG auction mechanism is introduced. Then, the mechanism of VCG market framework is designed. For the multi-type markets, an auxiliary parameter is used to establish the augmented Lagrangian model. The objective function of the model is transformed into several sub-problems, and the alternating direction multiplier method (ADMM) is used to solve the multi-block problem. In the real-time market phase, the stochastic nature of renewable power generation and fixed load is considered for real-time transactions with the power grid. Finally, the simulation results show that the proposed market transaction mechanism is economically beneficial to prosumers and the power grid, has high computational efficiency, and is beneficial to the sustainable development of the prosumer market.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186741","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918359
Wang Mengjiao, Tan Zhenhao, Zhao Bo, Hu Yunfeng
Aiming at extracting fault features of wind turbine bearing vibration signals, a bearing fault diagnosis method is proposed that based on multi-domain features extraction and deep modeling. Firstly, the multi-domain features of the wind turbine bearing vibration signal are extracted, including time-domain features, frequency-domain features, and time-frequency domain features after Ensemble Empirical Mode Decomposition (EEMD) decomposition. Secondly, the Random Forest (RF) is used to reduce the data dimension of the multi-domain feature set, delete the features irrelevant to the classification, and improve the accuracy of fault diagnosis. Finally, a wind turbine fault diagnosis model is established based on DBN, and the model is verified with the CWRU data set and the actual operation data of Jiangxi wind farm. The experimental results show that the fault classification accuracy of the proposed model is above 94.4%, which is higher than the comparison method. The superiority of this method in the extraction of wind turbine bearing fault information is confirmed.
{"title":"Wind Turbine Bearing Fault Diagnosis Method Based on Multi-domain Feature Extraction","authors":"Wang Mengjiao, Tan Zhenhao, Zhao Bo, Hu Yunfeng","doi":"10.1109/ICPET55165.2022.9918359","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918359","url":null,"abstract":"Aiming at extracting fault features of wind turbine bearing vibration signals, a bearing fault diagnosis method is proposed that based on multi-domain features extraction and deep modeling. Firstly, the multi-domain features of the wind turbine bearing vibration signal are extracted, including time-domain features, frequency-domain features, and time-frequency domain features after Ensemble Empirical Mode Decomposition (EEMD) decomposition. Secondly, the Random Forest (RF) is used to reduce the data dimension of the multi-domain feature set, delete the features irrelevant to the classification, and improve the accuracy of fault diagnosis. Finally, a wind turbine fault diagnosis model is established based on DBN, and the model is verified with the CWRU data set and the actual operation data of Jiangxi wind farm. The experimental results show that the fault classification accuracy of the proposed model is above 94.4%, which is higher than the comparison method. The superiority of this method in the extraction of wind turbine bearing fault information is confirmed.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514933","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918272
Fang Liu, Min Li, Gang Wu, Ruiguang Ma, Tianwen Zheng
With the increase of the proportion of new energy in the power system, the quantitative evaluation of their effect on power and electricity balance gains more and more attention. Due to the uncertainty and intermittence of the output power, it is difficult for the pure wind-solar hybrid system to satisfy the load demand perfectly. As for the mismatch between the load demand and the output power of new energy, the energy storage is necessary. In order to analyze the effect of pure wind-solar-storage hybrid on power balance, this paper firstly analyzes the daily fluctuation and seasonal characteristics of the output of new energy. It is found that the output confidence can be recognized as a key factor for evaluating the effect of wind plants and photovoltaic power stations on ensuring the power supply. Then, a capacity configuration method of pure wind-solar-storage hybrid system in micro-grid is proposed. Case analysis verifies the validity of the proposed method. By considering the output confidence, the proposed method is helpful for evaluating the effect of new energy on power balance quantitatively.
{"title":"A Capacity Configuration Method of Pure Wind-Solar-storage Hybrid System in Micro-grid Considering Output Confidence","authors":"Fang Liu, Min Li, Gang Wu, Ruiguang Ma, Tianwen Zheng","doi":"10.1109/ICPET55165.2022.9918272","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918272","url":null,"abstract":"With the increase of the proportion of new energy in the power system, the quantitative evaluation of their effect on power and electricity balance gains more and more attention. Due to the uncertainty and intermittence of the output power, it is difficult for the pure wind-solar hybrid system to satisfy the load demand perfectly. As for the mismatch between the load demand and the output power of new energy, the energy storage is necessary. In order to analyze the effect of pure wind-solar-storage hybrid on power balance, this paper firstly analyzes the daily fluctuation and seasonal characteristics of the output of new energy. It is found that the output confidence can be recognized as a key factor for evaluating the effect of wind plants and photovoltaic power stations on ensuring the power supply. Then, a capacity configuration method of pure wind-solar-storage hybrid system in micro-grid is proposed. Case analysis verifies the validity of the proposed method. By considering the output confidence, the proposed method is helpful for evaluating the effect of new energy on power balance quantitatively.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694388","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918374
Haifeng Sun, Yuefan Guo, Gouwei Zhou
With the continuous advancement of DC transmission projects around the world, the valve-side bushings of converter transformers working in complex harmonic environments have become nodes with high failure rates because of electric field stress. The main insulating structure in the existing valve-side bushing is formed by stacking structures of equal thickness, in which aluminum foil layers with a uniform electric field are inserted. In practice, such a design is difficult to achieve the overall optimum. Therefore, this paper proposes an optimal selection method for the thickness of the insulating plate of the converter transformer valve-side bushing based on electric field equalization. The method realizes the reasonable selection of thickness according to the radial distribution law of the electric field based on the finite element calculation in the frequency domain. In this paper, the COMSOL Multiphysics software is used to optimize the design of the insulation structure of a valve-side bushing, and the optimization effect is simulated and verified, which fully proves the rationality of the method proposed in this paper.
{"title":"Optimal Design of Insulation Structure of Converter Transformer Valve-Side Bushing Based on Electric Field Balance","authors":"Haifeng Sun, Yuefan Guo, Gouwei Zhou","doi":"10.1109/ICPET55165.2022.9918374","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918374","url":null,"abstract":"With the continuous advancement of DC transmission projects around the world, the valve-side bushings of converter transformers working in complex harmonic environments have become nodes with high failure rates because of electric field stress. The main insulating structure in the existing valve-side bushing is formed by stacking structures of equal thickness, in which aluminum foil layers with a uniform electric field are inserted. In practice, such a design is difficult to achieve the overall optimum. Therefore, this paper proposes an optimal selection method for the thickness of the insulating plate of the converter transformer valve-side bushing based on electric field equalization. The method realizes the reasonable selection of thickness according to the radial distribution law of the electric field based on the finite element calculation in the frequency domain. In this paper, the COMSOL Multiphysics software is used to optimize the design of the insulation structure of a valve-side bushing, and the optimization effect is simulated and verified, which fully proves the rationality of the method proposed in this paper.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114481689","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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