Pub Date : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918252
Xiaoyan Wu, Sicheng Deng, Wenkai Yuan, S. Mei
Consensus-based algorithm is widely used in secondary frequency and voltage control in islanded microgrids. However, most existing control strategies require communication network to be connected. The control performance considering communication failures has not been adequately studied owing to the lack of a robust secondary control strategy for communication failures This article proposed a robust secondary frequency and voltage control strategy, which is suitable for the emergency that communication links are disrupted. Simulation based on MATLAB/Simulink verifies its effectiveness. The communication performance of the proposed algorithm under typical communication topologies is further studied and analyzed, and several characteristics of typical communication failures are presented, as well as communication network design suggestions.
{"title":"A Robust Distributed Secondary Control of Microgrids Considering Communication Failures","authors":"Xiaoyan Wu, Sicheng Deng, Wenkai Yuan, S. Mei","doi":"10.1109/ICPET55165.2022.9918252","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918252","url":null,"abstract":"Consensus-based algorithm is widely used in secondary frequency and voltage control in islanded microgrids. However, most existing control strategies require communication network to be connected. The control performance considering communication failures has not been adequately studied owing to the lack of a robust secondary control strategy for communication failures This article proposed a robust secondary frequency and voltage control strategy, which is suitable for the emergency that communication links are disrupted. Simulation based on MATLAB/Simulink verifies its effectiveness. The communication performance of the proposed algorithm under typical communication topologies is further studied and analyzed, and several characteristics of typical communication failures are presented, as well as communication network design suggestions.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"21 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":"134570519","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/ICPET55165.2022.9918405
LinGang Li, Dechang Yang, H. Pandžić, N. Tomin
In order to further reduce the rate of abandonment of wind and light and improve the operation economy of the Regional Integrated Energy System (RIES), this paper proposes a bi-level optimization scheduling model of RIES with consideration of electric vehicle (EV) charging. Firstly, according to the analysis of the EV charging characteristics, the disordered charging model based on Monte Carlo and the orderly charging model based on Time-of-Use (TOU) electricity price are established. Then, considering the uncertainty of wind and photovoltaic power, as well as the flexibility of EV charging, the bi-level optimization scheduling model is adopted to reduce the carbon transaction cost and to improve the utilization rate of renewable energy. Finally, verified by the wind-solar hydrogen storage regional integrated energy system, the simulation results indicate that: the proposed bi-level optimization scheduling model has the characteristics of high wind and solar utilization, low carbon transaction costs, and good economic effects.
{"title":"Optimal Dispatch of Regional Integrated Energy System Considering the Integrations of Electric Vehicles under the Dual Carbon Goal","authors":"LinGang Li, Dechang Yang, H. Pandžić, N. Tomin","doi":"10.1109/ICPET55165.2022.9918405","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918405","url":null,"abstract":"In order to further reduce the rate of abandonment of wind and light and improve the operation economy of the Regional Integrated Energy System (RIES), this paper proposes a bi-level optimization scheduling model of RIES with consideration of electric vehicle (EV) charging. Firstly, according to the analysis of the EV charging characteristics, the disordered charging model based on Monte Carlo and the orderly charging model based on Time-of-Use (TOU) electricity price are established. Then, considering the uncertainty of wind and photovoltaic power, as well as the flexibility of EV charging, the bi-level optimization scheduling model is adopted to reduce the carbon transaction cost and to improve the utilization rate of renewable energy. Finally, verified by the wind-solar hydrogen storage regional integrated energy system, the simulation results indicate that: the proposed bi-level optimization scheduling model has the characteristics of high wind and solar utilization, low carbon transaction costs, and good economic effects.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"222 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":"131688718","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/ICPET55165.2022.9918199
Juan Chen, Bo Cheng, Zheng Zeng, Hongkun Chen, Yingxin Shen, Zilun Cheng
Renewable energy has been growing rapidly inspired by the goal of "emission peak and carbon neutrality" in China. However, the phenomena of wind and solar power curtailment still exist, so the issue of renewable energy accommodation has attracted extensive attention. In this context, this paper proposes a sensitivity analysis method for the parameters of renewable energy accommodation, which comprehensively considers the load rate, the reserve rate, the conventional unit peak shaving rate, and the renewable energy penetration rate. Firstly, the mechanism of renewable energy accommodation is analyzed. Moreover, the mathematical model of the sensitivity of the accommodation capacity to each parameter is established, revealing the influence of each parameter on the sensitivity. Finally, the validity of the proposed method is verified by a case study using field data. The result shows that the proposed method can efficiently improve the capacity of renewable energy accommodation.
{"title":"Sensitivity Analysis of Influencing Factors for Renewable Energy Accommodation","authors":"Juan Chen, Bo Cheng, Zheng Zeng, Hongkun Chen, Yingxin Shen, Zilun Cheng","doi":"10.1109/ICPET55165.2022.9918199","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918199","url":null,"abstract":"Renewable energy has been growing rapidly inspired by the goal of \"emission peak and carbon neutrality\" in China. However, the phenomena of wind and solar power curtailment still exist, so the issue of renewable energy accommodation has attracted extensive attention. In this context, this paper proposes a sensitivity analysis method for the parameters of renewable energy accommodation, which comprehensively considers the load rate, the reserve rate, the conventional unit peak shaving rate, and the renewable energy penetration rate. Firstly, the mechanism of renewable energy accommodation is analyzed. Moreover, the mathematical model of the sensitivity of the accommodation capacity to each parameter is established, revealing the influence of each parameter on the sensitivity. Finally, the validity of the proposed method is verified by a case study using field data. The result shows that the proposed method can efficiently improve the capacity of renewable energy accommodation.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"94 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":"131793150","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/ICPET55165.2022.9918364
Kangyong Yin, Feng Tao, Wei Liang, Zhechen Huang
Lithium-ion battery will emit gas-liquid escapes from the safety valve when it gets in an accident. The escapes contains a large amount of visible white vaporized electrolyte and some colorless gas. Effective identification of the white vaporized electrolyte and an early warning can greatly reduce the risk of fire, even an explosion in the energy storage power stations. In this paper, an early warning method of lithium-ion battery fire is proposed, which is based on gas-liquid escape image recognition. Firstly, an image recogonition algorithm based on the YOLOv3 is proposed. The original Darknet53 feature extraction network in the algorithm is replaced with a lightweight ReXNet feature extraction network, considering the safety requirements of fast and accurate identification of the storage. In addition, the K-means clustering algorithm is used to obtain appropriate initialized anchor boxes to speed up the convergence of the model. Finally, the multi-scale feature fusion is combined with the path aggregation network to improve the detection accuracy of the model, so that the model can achieve good recognition of both large and small targets. The results show that the method shows a good effect in identifying the vaporized electrolyte of the actual lithium-ion battery storage. The model prediction speed tested on the GTX1650 graphics card can reach 65 frames per second, and the average accuracy is 84.35%. It basically meets the needs of practical applications. The research in this paper can further improve the safety of lithium-ion battery energy storage power stations and promote the healthy development of electrochemical energy storage.
{"title":"Safety Warning of Lithium-Ion Battery Energy Storage Cabin by Image Recogonition","authors":"Kangyong Yin, Feng Tao, Wei Liang, Zhechen Huang","doi":"10.1109/ICPET55165.2022.9918364","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918364","url":null,"abstract":"Lithium-ion battery will emit gas-liquid escapes from the safety valve when it gets in an accident. The escapes contains a large amount of visible white vaporized electrolyte and some colorless gas. Effective identification of the white vaporized electrolyte and an early warning can greatly reduce the risk of fire, even an explosion in the energy storage power stations. In this paper, an early warning method of lithium-ion battery fire is proposed, which is based on gas-liquid escape image recognition. Firstly, an image recogonition algorithm based on the YOLOv3 is proposed. The original Darknet53 feature extraction network in the algorithm is replaced with a lightweight ReXNet feature extraction network, considering the safety requirements of fast and accurate identification of the storage. In addition, the K-means clustering algorithm is used to obtain appropriate initialized anchor boxes to speed up the convergence of the model. Finally, the multi-scale feature fusion is combined with the path aggregation network to improve the detection accuracy of the model, so that the model can achieve good recognition of both large and small targets. The results show that the method shows a good effect in identifying the vaporized electrolyte of the actual lithium-ion battery storage. The model prediction speed tested on the GTX1650 graphics card can reach 65 frames per second, and the average accuracy is 84.35%. It basically meets the needs of practical applications. The research in this paper can further improve the safety of lithium-ion battery energy storage power stations and promote the healthy development of electrochemical energy storage.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"29 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":"114071534","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/ICPET55165.2022.9918207
Liu Ke, Yan Han, Wang Xin, Wang Xuan, Yang Fangnan, Li Jianwu, Zhu Xuenian, Cen Baoyi
Because of the fluctuation of the system background harmonic, it is difficult to obtain the system harmonic impedance accurately. According to characteristics of the dominant fluctuation, linearity and continuity of the system harmonic impedance, a novel system harmonic impedance calculation method has been developed, combined with a fluctuation filtering technique, linear correlation test and outlier elimination technique. Field test results show that the proposed method is practical and accurate so that it can be used to determine the system impedance.
{"title":"System Harmonic Impedance Calculation Method Based on Complex Linear Regression and Data Filtering","authors":"Liu Ke, Yan Han, Wang Xin, Wang Xuan, Yang Fangnan, Li Jianwu, Zhu Xuenian, Cen Baoyi","doi":"10.1109/ICPET55165.2022.9918207","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918207","url":null,"abstract":"Because of the fluctuation of the system background harmonic, it is difficult to obtain the system harmonic impedance accurately. According to characteristics of the dominant fluctuation, linearity and continuity of the system harmonic impedance, a novel system harmonic impedance calculation method has been developed, combined with a fluctuation filtering technique, linear correlation test and outlier elimination technique. Field test results show that the proposed method is practical and accurate so that it can be used to determine the system impedance.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"15 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":"127866841","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/ICPET55165.2022.9918367
Wang Miao, Y. Yijun, S. Lue, Sun Bo, Huang Haiyu
With the continuous expansion of the power grid scale, the power grid is more prone to multiple faults, resulting in more serious power outages. Based on the distribution factor of N-1 single branch, the line outage distribution factor of N-2 double branch power flow transfer is derived. Based on the DC power flow model, the active power flow transfer after two branches are broken at the same time is quickly calculated. The simulation results of IEEE 39 bus system show that the fast power flow calculation method of double line outage distribution factor N-2 contingency in this paper has good accuracy and practicability, and can be applied to the screening of N-2 expected faults and the rapid safety verification of power generation plan or market clearing results.
{"title":"Research on Fast Power Flow Calculation Method for Multiple Faults Based on Double Line Outage Distribution Factors","authors":"Wang Miao, Y. Yijun, S. Lue, Sun Bo, Huang Haiyu","doi":"10.1109/ICPET55165.2022.9918367","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918367","url":null,"abstract":"With the continuous expansion of the power grid scale, the power grid is more prone to multiple faults, resulting in more serious power outages. Based on the distribution factor of N-1 single branch, the line outage distribution factor of N-2 double branch power flow transfer is derived. Based on the DC power flow model, the active power flow transfer after two branches are broken at the same time is quickly calculated. The simulation results of IEEE 39 bus system show that the fast power flow calculation method of double line outage distribution factor N-2 contingency in this paper has good accuracy and practicability, and can be applied to the screening of N-2 expected faults and the rapid safety verification of power generation plan or market clearing results.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"8 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":"127993868","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/ICPET55165.2022.9918284
Hu Yinghong, Song Peng, Guo Qing, Cao Yu
Due to the high modularity and easy scalability for voltage and power, modular multilevel converter (MMC) has been the most appropriate converter in the high voltage direct current (HVDC) transmission system. The series-connected-double submodule (SCDSM) based MMC not only own the ability of the dc fault blocking but also features simple topology and control strategy. Then, the SCDSM based MMC has a promising application in the HVDC system. In the MMC system, the number of the submodules and capacitors is very large, which means the number of the voltage sensors is also huge. Reduced voltage sensors could decrease the cost of the MMC and improve the reliability of the MMC system. Based on the topology of the SCDSM, this paper proposes a novel arrangement of the voltage sensors and Kalman filter based capacitor voltage observer. Compared with the traditional arrangement of the voltage sensors, the number of the voltage sensors in this paper is halved. The simulation and experimental results verify the effectiveness of the proposed strategy in this paper.
{"title":"Capacitor Voltage Observation for Series-Connected-Double Submodule based Modular Multilevel Converter","authors":"Hu Yinghong, Song Peng, Guo Qing, Cao Yu","doi":"10.1109/ICPET55165.2022.9918284","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918284","url":null,"abstract":"Due to the high modularity and easy scalability for voltage and power, modular multilevel converter (MMC) has been the most appropriate converter in the high voltage direct current (HVDC) transmission system. The series-connected-double submodule (SCDSM) based MMC not only own the ability of the dc fault blocking but also features simple topology and control strategy. Then, the SCDSM based MMC has a promising application in the HVDC system. In the MMC system, the number of the submodules and capacitors is very large, which means the number of the voltage sensors is also huge. Reduced voltage sensors could decrease the cost of the MMC and improve the reliability of the MMC system. Based on the topology of the SCDSM, this paper proposes a novel arrangement of the voltage sensors and Kalman filter based capacitor voltage observer. Compared with the traditional arrangement of the voltage sensors, the number of the voltage sensors in this paper is halved. The simulation and experimental results verify the effectiveness of the proposed strategy in this paper.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"28 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":"121279187","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/ICPET55165.2022.9918390
Dian-hua Zhang, Donglai Zhao, Fangling Li, Qingqing Zheng, Fan Zhang, Li Yang, Qingtao Wang, Wang Liu, Weixiang Di
The distributed power flow controller (DPFC) works to increase or reduce the reactance of the transmission line by injecting series compensation voltage. The DPFC control system, including DPFC centralized control device and valve layer controller, is designed based on the analysis of DPFC main circuit topology, control architecture, control strategy and protection configuration. It is verified by engineering application that the device can regulate power flow, and effectively solve the problem of the limit-exceeding of the power supply section of the power grid.
{"title":"Research on Distributed Power Flow Controller and Application","authors":"Dian-hua Zhang, Donglai Zhao, Fangling Li, Qingqing Zheng, Fan Zhang, Li Yang, Qingtao Wang, Wang Liu, Weixiang Di","doi":"10.1109/ICPET55165.2022.9918390","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918390","url":null,"abstract":"The distributed power flow controller (DPFC) works to increase or reduce the reactance of the transmission line by injecting series compensation voltage. The DPFC control system, including DPFC centralized control device and valve layer controller, is designed based on the analysis of DPFC main circuit topology, control architecture, control strategy and protection configuration. It is verified by engineering application that the device can regulate power flow, and effectively solve the problem of the limit-exceeding of the power supply section of the power grid.","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":"129186295","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/ICPET55165.2022.9918314
Le Zheng, Zheng Wang, Yanhui Xu
Deep learning based transient stability assessment has achieved big success in power system analysis. However, it is still unclear that how much of the data is superfluous and which samples are important for training. In this work, we introduce the latest technique from the computer science community to evaluate the importance of the samples used in deep learning model for transient stability assessment. From empirical experiments, it is found that nearly 80% of the low importance samples can be pruned without affecting the testing performance at early training stages, thus saving much computational time and effort. We also observe that the samples with fault clearing time close to the critical clearing time often have higher importance scores, indicating that the decision boundary learned by the deep network is the transient stability boundary. This is intuitive, but to the best of our knowledge, this work is the first to analyze the connection from sample importance aspects. The ultimate goal of the study is to create a tool to generate and evaluate some benchmark datasets for power system transient stability assessment analysis, so that various algorithms can be tested in a unified and standard platform which could verify and compare the performance of the algorithms.
{"title":"Evaluating the Importance of Samples in Deep Learning Based Transient Stability Assessment","authors":"Le Zheng, Zheng Wang, Yanhui Xu","doi":"10.1109/ICPET55165.2022.9918314","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918314","url":null,"abstract":"Deep learning based transient stability assessment has achieved big success in power system analysis. However, it is still unclear that how much of the data is superfluous and which samples are important for training. In this work, we introduce the latest technique from the computer science community to evaluate the importance of the samples used in deep learning model for transient stability assessment. From empirical experiments, it is found that nearly 80% of the low importance samples can be pruned without affecting the testing performance at early training stages, thus saving much computational time and effort. We also observe that the samples with fault clearing time close to the critical clearing time often have higher importance scores, indicating that the decision boundary learned by the deep network is the transient stability boundary. This is intuitive, but to the best of our knowledge, this work is the first to analyze the connection from sample importance aspects. The ultimate goal of the study is to create a tool to generate and evaluate some benchmark datasets for power system transient stability assessment analysis, so that various algorithms can be tested in a unified and standard platform which could verify and compare the performance of the algorithms.","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":"129288051","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/ICPET55165.2022.9918220
Jianchun Cao, Qian Li, Yingjing He, Keping Zhu, Yangqing Dan
When sub-synchronous resonance (SSR) occurs in wind power clusters, the main transformers of wind farms will produce abnormal noise and increased vibration, which brings potential risks to the security and stability of power system. By analyzing the fault records and the equivalent circuit of the system, it is proposed that the injection of more than a certain amount of SSR current into the system causes transformer core saturation, which leads to the increase of the main transformer excitation current, strange noise and vibration. When SSR occurs in the transmission system of the wind farm cluster through the FSC, the primary transformer voltage contains considerable sub-synchronous frequency component and result in corresponding fluctuation of magnetic flux in transformer core. As a result, the core of the transformer is periodically alternating positive and negative magnetic bias, and repeatedly enters the saturation state, and then periodically appears a large peak excitation current spike. The degree of partial magnetic saturation of the transformer core is determined by the magnitude of the power frequency flux and the sub-synchronous flux. When the system with higher operating voltage resonates, the core of the transformer is more prone to magnetic bias saturation. This result is verified by Real Time Digital Simulator (RTDS) simulation and physical transformer low-voltage model experiments. Appropriate reduction of the system voltage can reduce the saturation level and the harm of the main transformer and damping of SSR is the ultimate solution to solve the above problems.
{"title":"Mechanism of Transformer Magnetic Bias Caused by Sub-synchronous Resonance of Wind Farm Cluster","authors":"Jianchun Cao, Qian Li, Yingjing He, Keping Zhu, Yangqing Dan","doi":"10.1109/ICPET55165.2022.9918220","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918220","url":null,"abstract":"When sub-synchronous resonance (SSR) occurs in wind power clusters, the main transformers of wind farms will produce abnormal noise and increased vibration, which brings potential risks to the security and stability of power system. By analyzing the fault records and the equivalent circuit of the system, it is proposed that the injection of more than a certain amount of SSR current into the system causes transformer core saturation, which leads to the increase of the main transformer excitation current, strange noise and vibration. When SSR occurs in the transmission system of the wind farm cluster through the FSC, the primary transformer voltage contains considerable sub-synchronous frequency component and result in corresponding fluctuation of magnetic flux in transformer core. As a result, the core of the transformer is periodically alternating positive and negative magnetic bias, and repeatedly enters the saturation state, and then periodically appears a large peak excitation current spike. The degree of partial magnetic saturation of the transformer core is determined by the magnitude of the power frequency flux and the sub-synchronous flux. When the system with higher operating voltage resonates, the core of the transformer is more prone to magnetic bias saturation. This result is verified by Real Time Digital Simulator (RTDS) simulation and physical transformer low-voltage model experiments. Appropriate reduction of the system voltage can reduce the saturation level and the harm of the main transformer and damping of SSR is the ultimate solution to solve the above problems.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"2 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":"128608121","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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