when the Generator run in parallel through the transmission line, the relative swing between the motor rotors will occur under the disturbance. If there is insufficient damping, it will cause the occurrence of low frequency oscillation (LFO). HVDC transmission system has the advantages of fast regulation speed and high control accuracy and it can be used to suppress the LFO. In this paper, the mechanism of asynchronous interconnected HVDC transmission to suppress inter regional LFO is studied. Then the strategy of power modulation to suppress LFO is proposed. In the end, the suppression strategy is verified by simulation based on an actual power grid simulation model. The simulation results show that when LFO occurs, the proposed strategy can effectively increase the system damping, suppress the generation of LFO and improve the dynamic stability of AC/DC interconnected system.
{"title":"Research on Power Modulation to Suppress Low Frequency Oscillation by Asynchronous Interconnection HVDC System","authors":"Xingkui Li, Guoan Dai, Weifeng Sun, Chen Cui, Zhuofan Li, Chenghao Li","doi":"10.1109/ICPET55165.2022.9918418","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918418","url":null,"abstract":"when the Generator run in parallel through the transmission line, the relative swing between the motor rotors will occur under the disturbance. If there is insufficient damping, it will cause the occurrence of low frequency oscillation (LFO). HVDC transmission system has the advantages of fast regulation speed and high control accuracy and it can be used to suppress the LFO. In this paper, the mechanism of asynchronous interconnected HVDC transmission to suppress inter regional LFO is studied. Then the strategy of power modulation to suppress LFO is proposed. In the end, the suppression strategy is verified by simulation based on an actual power grid simulation model. The simulation results show that when LFO occurs, the proposed strategy can effectively increase the system damping, suppress the generation of LFO and improve the dynamic stability of AC/DC interconnected system.","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":"122530959","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}
A novel high step-up switched capacitor DC-DC converter based on coupled inductors is proposed in this paper. The proposed topology solves the problem of insufficient voltage on the switched capacitor, thus improves the traditional energy storage structure. Combined with the coupled inductor, which further improve the voltage gain characteristics and reduce the stress of the switching device. The operating principle and steady state analysis of the converter are introduced in details, and a 200W experimental prototype with an input voltage of 25-45V and an output voltage of 380V is established in the laboratory to verify the feasibility of the converter.
{"title":"A Novel High Step-up Switched Capacitor DC-DC Converter Based on Coupled Inductors","authors":"Xuechen Bai, Hao Liu, Jingyun Gu, Hongye Cai, Yueshi Guan, Dianguo Xu","doi":"10.1109/ICPET55165.2022.9918391","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918391","url":null,"abstract":"A novel high step-up switched capacitor DC-DC converter based on coupled inductors is proposed in this paper. The proposed topology solves the problem of insufficient voltage on the switched capacitor, thus improves the traditional energy storage structure. Combined with the coupled inductor, which further improve the voltage gain characteristics and reduce the stress of the switching device. The operating principle and steady state analysis of the converter are introduced in details, and a 200W experimental prototype with an input voltage of 25-45V and an output voltage of 380V is established in the laboratory to verify the feasibility of the converter.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"19 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":"128151166","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/ICPET55165.2022.9918245
Yangjiajia Liu, Xiangwu Yan, Jiaoxin Jia
With the increasing number of fires caused by the failure of lithium-ion battery systems under extreme working conditions, the safety of lithium-ion battery systems is becoming more of a concern. Although the complicated electrochemical reactions inside the battery cannot be measured directly by various meters, electrical parameters such as voltage and current can be used to estimate the battery’s safety condition. In this paper, the Renesas microcontrollers are used to design a distributed series-battery-pack-based charging/discharging monitoring system with a master control unit and slave control unit. First, the functional framework of the system, the hardware circuit, and the scheme for information interaction are all devised. Battery cell voltages are recorded by the slave control unit, and the master control unit collects the data acquired by all the slave control units through internal communication while collecting total battery pack voltage and current. Second, the software programs of each module are written, and the working principles for programs including the master program, data acquisition program, and communication program are provided. Finally, the experimental platform is built to conduct joint software and hardware debugging experiments. The experimental results show that the calibrated monitoring system could perform functions such as high-precision measurement of electrical parameters of a cell and transmission of communication information, ensuring that there is no blind spot during the operation monitoring of the battery pack.
{"title":"High-Precision Distributed Lithium-ion Battery Charging/Discharging Monitoring System","authors":"Yangjiajia Liu, Xiangwu Yan, Jiaoxin Jia","doi":"10.1109/ICPET55165.2022.9918245","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918245","url":null,"abstract":"With the increasing number of fires caused by the failure of lithium-ion battery systems under extreme working conditions, the safety of lithium-ion battery systems is becoming more of a concern. Although the complicated electrochemical reactions inside the battery cannot be measured directly by various meters, electrical parameters such as voltage and current can be used to estimate the battery’s safety condition. In this paper, the Renesas microcontrollers are used to design a distributed series-battery-pack-based charging/discharging monitoring system with a master control unit and slave control unit. First, the functional framework of the system, the hardware circuit, and the scheme for information interaction are all devised. Battery cell voltages are recorded by the slave control unit, and the master control unit collects the data acquired by all the slave control units through internal communication while collecting total battery pack voltage and current. Second, the software programs of each module are written, and the working principles for programs including the master program, data acquisition program, and communication program are provided. Finally, the experimental platform is built to conduct joint software and hardware debugging experiments. The experimental results show that the calibrated monitoring system could perform functions such as high-precision measurement of electrical parameters of a cell and transmission of communication information, ensuring that there is no blind spot during the operation monitoring of the battery pack.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132237768","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/ICPET55165.2022.9918217
Zhongjie Guo, Wei Wei, Jungang Yu, Haiji Zhao, S. Mei
The integration of renewable generation which is uncertain and fluctuates over time challenges the economic dispatch of power systems. This paper proposes a distributionally robust dynamic programming framework to make economic dispatch decisions in a sequential manner. Compared to the stochastic DP that assumes the stage-wise independence of uncertainty and applies the sample average approximation, the proposed framework is improved from two main aspects: first, the temporal dependence of uncertain variable is exploited and the value functions in Bellman’s equation are taken conditional expectation; second, the inexactness of estimated conditional distribution is compensated by considering the worst distribution within an ambiguity set. A sampling-based algorithm with efficient samples is proposed to calculate the value functions. Case studies conducted on the modified IEEE 118-bus system verify the effectiveness of the proposed method.
{"title":"Distributionally Robust Dynamic Economic Dispatch With Energy Storage and Renewables","authors":"Zhongjie Guo, Wei Wei, Jungang Yu, Haiji Zhao, S. Mei","doi":"10.1109/ICPET55165.2022.9918217","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918217","url":null,"abstract":"The integration of renewable generation which is uncertain and fluctuates over time challenges the economic dispatch of power systems. This paper proposes a distributionally robust dynamic programming framework to make economic dispatch decisions in a sequential manner. Compared to the stochastic DP that assumes the stage-wise independence of uncertainty and applies the sample average approximation, the proposed framework is improved from two main aspects: first, the temporal dependence of uncertain variable is exploited and the value functions in Bellman’s equation are taken conditional expectation; second, the inexactness of estimated conditional distribution is compensated by considering the worst distribution within an ambiguity set. A sampling-based algorithm with efficient samples is proposed to calculate the value functions. Case studies conducted on the modified IEEE 118-bus system verify the effectiveness of the proposed method.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"30 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":"114448193","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}
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}
With the continuous increase in the access of new energy sources such as photovoltaics in the power system, in order to reasonably evaluate the photovoltaic consumption of the power system, this paper proposes a photovoltaic consumption evaluation method that considers the probability of typical scenarios. The method firstly performs cluster analysis on the historical data of photovoltaic output to obtain multiple typical scenarios of photovoltaic output and their occurrence probability, and then takes the maximum photovoltaic power consumption as the objective function to solve the maximum photovoltaic power consumption under each typical scenario. Finally, the final photovoltaic consumption is obtained by multiplying the maximum photovoltaic consumption in each scenario by the occurrence probability of the corresponding scene and summing up. The example analysis shows that, compared with the solution method of a single typical scenario, the photovoltaic consumption based on the occurrence probability of the typical scene is more reasonable, and can effectively reflect the annual photovoltaic consumption of the power grid.
{"title":"Research on Photovoltaic Consumption Based on Occurrence Probability of Typical Scenarios","authors":"Guodong Zheng, Yanhu Ma, Donghui Chen, Zhixiang Sun, Pu Zhang, Yanbo Chen","doi":"10.1109/ICPET55165.2022.9918260","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918260","url":null,"abstract":"With the continuous increase in the access of new energy sources such as photovoltaics in the power system, in order to reasonably evaluate the photovoltaic consumption of the power system, this paper proposes a photovoltaic consumption evaluation method that considers the probability of typical scenarios. The method firstly performs cluster analysis on the historical data of photovoltaic output to obtain multiple typical scenarios of photovoltaic output and their occurrence probability, and then takes the maximum photovoltaic power consumption as the objective function to solve the maximum photovoltaic power consumption under each typical scenario. Finally, the final photovoltaic consumption is obtained by multiplying the maximum photovoltaic consumption in each scenario by the occurrence probability of the corresponding scene and summing up. The example analysis shows that, compared with the solution method of a single typical scenario, the photovoltaic consumption based on the occurrence probability of the typical scene is more reasonable, and can effectively reflect the annual photovoltaic consumption of the power grid.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"2 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":"122180131","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}
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}
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}
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