Increasing penetration of renewables require ade-quate flexible resources to handle significant uncertainty. The current capacity market lacks a clearing mechanism for the flexibility capacity, and causes consumers to bear extra cost on additional flexible resources. Designing a fair and reason-able clearing and repayment mechanism for flexible resources is challenging, especially for newly market participants with complicated temporarily and dynamics, such as energy storage. This paper designs a novel capacity market model that involves demands of flexible ramping resource. Firstly, a ramp resource constraint is established based on historical data of wind and solar generations. Then, a reasonable clearing mechanism is designed to promote the investment and construction of energy storage. Case studies on realistic power systems verified that the proposed model guarantees the benefit of flexible units, and enables adequate ramp capabilities.
{"title":"Capacity Auction Mechanism Considering Flexiblility Constraints and Battery Energy Storage","authors":"Wenjin Jiang, Xiazhe Tu, Qiaomei Liu, Zhenyu Huang, Gao Qiu","doi":"10.1109/ACFPE56003.2022.9952244","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952244","url":null,"abstract":"Increasing penetration of renewables require ade-quate flexible resources to handle significant uncertainty. The current capacity market lacks a clearing mechanism for the flexibility capacity, and causes consumers to bear extra cost on additional flexible resources. Designing a fair and reason-able clearing and repayment mechanism for flexible resources is challenging, especially for newly market participants with complicated temporarily and dynamics, such as energy storage. This paper designs a novel capacity market model that involves demands of flexible ramping resource. Firstly, a ramp resource constraint is established based on historical data of wind and solar generations. Then, a reasonable clearing mechanism is designed to promote the investment and construction of energy storage. Case studies on realistic power systems verified that the proposed model guarantees the benefit of flexible units, and enables adequate ramp capabilities.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124177004","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952242
Wei Yang, Yue Wang, Anan Zhang, Jin Xu, Qian Li, Hong Song
Reversible solid oxide fuel cells can reasonably and efficiently consume clean energy through bidirectional conversion between electricity and hydrogen, reducing the pressure of clean energy consumption in the power system. In order to achieve a high proportion of clean energy consumption and flexible supply of multiple systems, this paper designs an RSOFC-based electricity - heat - hydrogen coupled distributed integrated energy station based on the operating characteristics of the RSOFC system and the output characteristics of clean energy, and introduces a typical park negative pair. Comparing the energy supply of the integrated energy station with the distributed energy supply, it is found that the designed integrated energy station has superior performance in all aspects compared with the distributed power generation, effectively improve the carbon emission reduction of the park, and has good comprehensive benefits.
{"title":"Multidimensional Benefit Evaluation of RSOFC Integrated Energy Station Considering Electro-Thermal-Hydrogen Coupling","authors":"Wei Yang, Yue Wang, Anan Zhang, Jin Xu, Qian Li, Hong Song","doi":"10.1109/ACFPE56003.2022.9952242","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952242","url":null,"abstract":"Reversible solid oxide fuel cells can reasonably and efficiently consume clean energy through bidirectional conversion between electricity and hydrogen, reducing the pressure of clean energy consumption in the power system. In order to achieve a high proportion of clean energy consumption and flexible supply of multiple systems, this paper designs an RSOFC-based electricity - heat - hydrogen coupled distributed integrated energy station based on the operating characteristics of the RSOFC system and the output characteristics of clean energy, and introduces a typical park negative pair. Comparing the energy supply of the integrated energy station with the distributed energy supply, it is found that the designed integrated energy station has superior performance in all aspects compared with the distributed power generation, effectively improve the carbon emission reduction of the park, and has good comprehensive benefits.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128860051","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}
In view of the existing problems such as high investment cost and low utilization rate of distributed energy storage, while centralized shared energy storage can not take into account the different power needs of many types of users. In this paper, an optimal allocation and scheduling method of cloud energy storage, which combines distributed energy storage with centralized energy storage. Firstly, the new business operation mode and the concept of cloud energy storage system are expounded. Secondly, in the economic optimal scheduling of prosumer, and the cloud energy storage optimization allocation and dispatch model is established with the objective of optimal daily operation cost. On this basis, the Shapley value method is used for cost sharing within the cooperative alliance. Finally, the feasibility and superiority of the method proposed in this paper are verified by numerical example simulation. The results show that the consumption rate of clean energy can be improved significantly, and the cost sharing strategy achieves a win-win situation for all parties.
{"title":"Day-ahead Optimal Economic Dispatch Based On Cloud Energy Storage System","authors":"Haiyan Wang, Wei Wang, Fang Liu, Xinting Yang, Liyang Liu, Yinjiang Li","doi":"10.1109/ACFPE56003.2022.9952328","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952328","url":null,"abstract":"In view of the existing problems such as high investment cost and low utilization rate of distributed energy storage, while centralized shared energy storage can not take into account the different power needs of many types of users. In this paper, an optimal allocation and scheduling method of cloud energy storage, which combines distributed energy storage with centralized energy storage. Firstly, the new business operation mode and the concept of cloud energy storage system are expounded. Secondly, in the economic optimal scheduling of prosumer, and the cloud energy storage optimization allocation and dispatch model is established with the objective of optimal daily operation cost. On this basis, the Shapley value method is used for cost sharing within the cooperative alliance. Finally, the feasibility and superiority of the method proposed in this paper are verified by numerical example simulation. The results show that the consumption rate of clean energy can be improved significantly, and the cost sharing strategy achieves a win-win situation for all parties.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994548","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 rapid development of artificial intelligence technology, the power industry has entered the era of big data, business data is rapidly accumulated, and the traditional Spring-Boot-based microservice architecture raises more and more requirements for hardware resources, which can no longer meet our requirements for service invocation performance, data consistency, elastic scaling and flexible deployment requirements. In response to the above problems, the distributed container technology which is based on Kubernetes and Docker is introduced, and a unified JSON-based machine learning process description language structure is proposed, some useful configuration templates are provided for machine learning training processes, including algorithm selection, hyper-parameter setting, loss function, optimization function and execution plan. In response to the needs of enterprise business development, a machine learning model training task scheduling system adapted to business scenarios in the field of power grid regulation is designed and constructed, which solves the problems of inability to reuse sample data and waste of resources and realizes resource isolation and elastic scaling. By building a visualized machine learning task process, implementing model training and evaluation, supporting real-time display of the execution status of each algorithm node, the platform implements a multi-tenant resource isolation and elastic scaling containerized machine learning model training environment. Keywords
{"title":"A Machine Learning Process-based Training Task Execution Method in the Field of Power Grid Regulation","authors":"Yingying Lao, Wangyu Dong, Ziyun Chen, Yanru Kong, Jialing Shen, Hao Li","doi":"10.1109/ACFPE56003.2022.9952265","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952265","url":null,"abstract":"With the rapid development of artificial intelligence technology, the power industry has entered the era of big data, business data is rapidly accumulated, and the traditional Spring-Boot-based microservice architecture raises more and more requirements for hardware resources, which can no longer meet our requirements for service invocation performance, data consistency, elastic scaling and flexible deployment requirements. In response to the above problems, the distributed container technology which is based on Kubernetes and Docker is introduced, and a unified JSON-based machine learning process description language structure is proposed, some useful configuration templates are provided for machine learning training processes, including algorithm selection, hyper-parameter setting, loss function, optimization function and execution plan. In response to the needs of enterprise business development, a machine learning model training task scheduling system adapted to business scenarios in the field of power grid regulation is designed and constructed, which solves the problems of inability to reuse sample data and waste of resources and realizes resource isolation and elastic scaling. By building a visualized machine learning task process, implementing model training and evaluation, supporting real-time display of the execution status of each algorithm node, the platform implements a multi-tenant resource isolation and elastic scaling containerized machine learning model training environment. Keywords","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303670","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952308
Zheng Zhao, Chenqing Lv, Chenhui Tang, Menghua Fan
In order to promote the gradual participation of new energy in the market in an orderly manner based on national conditions of China, on the basis of ensuring the reasonable income of new energy, this paper proposes a calculation method for assessing the income and the market-oriented proportion of new energy generation year by year. In this method, the income of the existing units and the newly-built units are respectively rationalized. With the boundary conditions of ensuring the reasonable income of new energy enterprises, ensuring the power purchase source of residents and agricultural users, and completing the weight index of consumption responsibility, the calculation model of the proportion of new energy released year by year is constructed. Based on the calculation method, the actual calculation example of a province in Northwest China is calculated, which verifies the effectiveness of the calculation method described in this paper in the calculation of the new energy market-oriented proportion in the provincial power market.
{"title":"Research on the calculation method of new energy generation market-oriented proportion for electricity marketization in China","authors":"Zheng Zhao, Chenqing Lv, Chenhui Tang, Menghua Fan","doi":"10.1109/ACFPE56003.2022.9952308","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952308","url":null,"abstract":"In order to promote the gradual participation of new energy in the market in an orderly manner based on national conditions of China, on the basis of ensuring the reasonable income of new energy, this paper proposes a calculation method for assessing the income and the market-oriented proportion of new energy generation year by year. In this method, the income of the existing units and the newly-built units are respectively rationalized. With the boundary conditions of ensuring the reasonable income of new energy enterprises, ensuring the power purchase source of residents and agricultural users, and completing the weight index of consumption responsibility, the calculation model of the proportion of new energy released year by year is constructed. Based on the calculation method, the actual calculation example of a province in Northwest China is calculated, which verifies the effectiveness of the calculation method described in this paper in the calculation of the new energy market-oriented proportion in the provincial power market.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122714919","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952183
Yutao Qiu, Lei Zhang, Hongfei Mao, Yuliang Xiao
Non-intrusive identification has the advantages of not interfering with consumer privacy and low hardware cost. It has excellent performance in the analysis of consumer monitoring data. The distribution of sensitive equipment can be identified based on the monitoring data to understand the specific needs of consumers for power quality, and provide data support for power supply companies to formulate service strategies. Considering the influence of feature coincidence on load identification, the difference in voltage sag tolerance characteristics of equipment was introduced, and a load decomposition model was constructed by combining multiple features. The non-intrusive load identification is realized by the memory simulated annealing algorithm, and the acceptance probability of the identification result is given based on the probability of equipment state change and the separation of characteristic coincidence loads.
{"title":"Classification and Identification of Voltage Sag Sensitive Consumers Based on Multivariate Features","authors":"Yutao Qiu, Lei Zhang, Hongfei Mao, Yuliang Xiao","doi":"10.1109/ACFPE56003.2022.9952183","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952183","url":null,"abstract":"Non-intrusive identification has the advantages of not interfering with consumer privacy and low hardware cost. It has excellent performance in the analysis of consumer monitoring data. The distribution of sensitive equipment can be identified based on the monitoring data to understand the specific needs of consumers for power quality, and provide data support for power supply companies to formulate service strategies. Considering the influence of feature coincidence on load identification, the difference in voltage sag tolerance characteristics of equipment was introduced, and a load decomposition model was constructed by combining multiple features. The non-intrusive load identification is realized by the memory simulated annealing algorithm, and the acceptance probability of the identification result is given based on the probability of equipment state change and the separation of characteristic coincidence loads.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124038394","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}
Power transformer is an important component of the power system. When the transformer winding is deformed, the leakage reactance parameters will change. Therefore, higher requirements are put forward for the identification method of leakage reactance parameters. In this paper, the recursive least square algorithm is proposed to accurately and quickly identify the equivalent leakage reactance parameters by using the sampled values of voltage and current at the primary and secondary sides of the transformer and the relationship between the difference equation of transformer steady-state operation and reactance parameters. The simulation of a single-phase transformer found that the identification result is accurate, and this method can also monitor the transformer winding state online. The results are not affected by the changes in transformer load and power factors and the Fourier filtering algorithm can effectively eliminate the influence of primary voltage harmonics on the identification results.
{"title":"Identification Method of Transformer Leakage Reactance Based on Recursive Least Squares","authors":"Qian He, Li Chen, Liangyi Wang, Mengyuan Han, LiJuan Jiang, Zhongyong Zhao","doi":"10.1109/ACFPE56003.2022.9952241","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952241","url":null,"abstract":"Power transformer is an important component of the power system. When the transformer winding is deformed, the leakage reactance parameters will change. Therefore, higher requirements are put forward for the identification method of leakage reactance parameters. In this paper, the recursive least square algorithm is proposed to accurately and quickly identify the equivalent leakage reactance parameters by using the sampled values of voltage and current at the primary and secondary sides of the transformer and the relationship between the difference equation of transformer steady-state operation and reactance parameters. The simulation of a single-phase transformer found that the identification result is accurate, and this method can also monitor the transformer winding state online. The results are not affected by the changes in transformer load and power factors and the Fourier filtering algorithm can effectively eliminate the influence of primary voltage harmonics on the identification results.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131576347","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952214
Zhonghua Xie, Ning Zhu, Haoyong Chen, Qin Le, Jianguang Li, Hongjun Qin
Energy storage will play an essential role in maintaining the power balance of the new power system, which is mainly based on renewable energy sources. Recently, China has been vigorously promoting the development and application of new energy storage and has issued relevant policy documents to promote further the participation of new energy storage in the electricity market. Therefore, it is urgent to establish a market mechanism well adapted to energy storage participation. This paper first investigates the current state of energy storage technology, the situation and the mechanical principle of domestic and foreign energy storage participation in the market. Then the development opportunities and challenges the new energy storage faces are clarified. Finally, based on the development of Jiangxi's electricity market, the mechanism of Jiangxi's independent energy storage participation in various types of electricity markets is designed.
{"title":"The participation of Independent Energy Storages in Electricity Markets: A Suvey and Perspectives of Jiangxi Province","authors":"Zhonghua Xie, Ning Zhu, Haoyong Chen, Qin Le, Jianguang Li, Hongjun Qin","doi":"10.1109/ACFPE56003.2022.9952214","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952214","url":null,"abstract":"Energy storage will play an essential role in maintaining the power balance of the new power system, which is mainly based on renewable energy sources. Recently, China has been vigorously promoting the development and application of new energy storage and has issued relevant policy documents to promote further the participation of new energy storage in the electricity market. Therefore, it is urgent to establish a market mechanism well adapted to energy storage participation. This paper first investigates the current state of energy storage technology, the situation and the mechanical principle of domestic and foreign energy storage participation in the market. Then the development opportunities and challenges the new energy storage faces are clarified. Finally, based on the development of Jiangxi's electricity market, the mechanism of Jiangxi's independent energy storage participation in various types of electricity markets is designed.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"3254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486566","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952351
Zheyi Ji, Xuesong Xu, D. Zhang, Tianhao Du, Muzi Li, Junfeng Hu
In 2020, Xi Jinping proposed the goal of carbon peaking and carbon neutrality, and clarified the direction of Chinese energy and power transformation under the background of “dual carbon”, which put forward higher requirements for the low-carbon transition of the transmission grid. This paper constructs the transmission grid performance evaluation index system from three aspects: low carbon performance, social performance and operation performance, and uses the combined game theory to evaluate the performance of the transmission grid in six regions of the country from 2014 to 2020. Three conclusions are drawn: the comprehensive evaluation value of transmission grid performance in the northwest region is basically at the middle and upper level, and this region is higher than the other five regions for 43% of the time; the two indicators of new energy generation and per capita electricity consumption have a greater impact on the performance of the transmission grid; the performance evaluation value of the North China regional transmission grid that relies on traditional energy for power generation grows slowly and shows a low level. Three suggestions are proposed including strengthening the top-level design of the transmission and distribution grid planning, promoting the new energy consumption capacity of the transmission and distribution grid and improving the power efficiency level of the whole society.
{"title":"Transmission Grid Performance Evaluation Based on Combinatorial Game Theory under Dual Carbon Targets","authors":"Zheyi Ji, Xuesong Xu, D. Zhang, Tianhao Du, Muzi Li, Junfeng Hu","doi":"10.1109/ACFPE56003.2022.9952351","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952351","url":null,"abstract":"In 2020, Xi Jinping proposed the goal of carbon peaking and carbon neutrality, and clarified the direction of Chinese energy and power transformation under the background of “dual carbon”, which put forward higher requirements for the low-carbon transition of the transmission grid. This paper constructs the transmission grid performance evaluation index system from three aspects: low carbon performance, social performance and operation performance, and uses the combined game theory to evaluate the performance of the transmission grid in six regions of the country from 2014 to 2020. Three conclusions are drawn: the comprehensive evaluation value of transmission grid performance in the northwest region is basically at the middle and upper level, and this region is higher than the other five regions for 43% of the time; the two indicators of new energy generation and per capita electricity consumption have a greater impact on the performance of the transmission grid; the performance evaluation value of the North China regional transmission grid that relies on traditional energy for power generation grows slowly and shows a low level. Three suggestions are proposed including strengthening the top-level design of the transmission and distribution grid planning, promoting the new energy consumption capacity of the transmission and distribution grid and improving the power efficiency level of the whole society.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506699","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 : 2022-10-01DOI: 10.1109/ACFPE56003.2022.9952310
Hong Xie, Huaying Zhang, Xian Wu, Dehai Zhang, Wenhai Zhang
This paper introduces an accurate fault distance determination for distribution network utilizing the positive and negative sequence voltage ratio. The distribution characteristics of the ratio between positive and negative sequence voltage (RPN) in the whole network is used to determine the fault segment, and then the RPN of the two ends of the fault section or the first two points of the segment is used to acquire the fault distance. The RPN of the corresponding points on the fault path can be known through the data of measurement point at the end of the non-faulty path, which solves the problem that it is hard to acquire information directly from both ends of the faulted section in the existing double-end location method. The proposed method has been verified by IEEE34 node system to achieve accurate location of asymmetric faults in distribution networks rich in clean energy resources, and its location performance is not influenced by the system grounding modes, and it has strong robustness to measurement errors, fault resistance and load changes, and shows better results on high resistance faults.
{"title":"Asymmetric Fault Location of Distribution Network Based on Positive and Negative Sequence Voltage Ratio","authors":"Hong Xie, Huaying Zhang, Xian Wu, Dehai Zhang, Wenhai Zhang","doi":"10.1109/ACFPE56003.2022.9952310","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952310","url":null,"abstract":"This paper introduces an accurate fault distance determination for distribution network utilizing the positive and negative sequence voltage ratio. The distribution characteristics of the ratio between positive and negative sequence voltage (RPN) in the whole network is used to determine the fault segment, and then the RPN of the two ends of the fault section or the first two points of the segment is used to acquire the fault distance. The RPN of the corresponding points on the fault path can be known through the data of measurement point at the end of the non-faulty path, which solves the problem that it is hard to acquire information directly from both ends of the faulted section in the existing double-end location method. The proposed method has been verified by IEEE34 node system to achieve accurate location of asymmetric faults in distribution networks rich in clean energy resources, and its location performance is not influenced by the system grounding modes, and it has strong robustness to measurement errors, fault resistance and load changes, and shows better results on high resistance faults.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125299483","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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