{"title":"基于网络结构的配电系统可靠性影响因素分析","authors":"Yang Fan, Liu Jun, W. Xin, Ren Lijia","doi":"10.1109/ICPEA.2019.8818496","DOIUrl":null,"url":null,"abstract":"Due to continuous expansion of the power system, the conditions for system operation are becoming more and more complex. In this paper, the improved Monte-Carlo method is used to evaluate reliability of distribution system, so as to solve the problem that the operating conditions of the distribution network system are complex, the increase of the amount of calculation and the low calculation speed of the conventional method. By using the method of equal dispersion sampling, the average value of multiple sub-interval states and test functions is calculated, which further improves the utilization rate of random numbers. In this paper, the reliability evaluation method of distribution network based on decentralized sampling Monte-Carlo method is used to calculate and summarize the influencing factors and trend of the reliability by different network structures. Meanwhile, the structure of network in Shanghai is analyzed and optimized, which obviously improves the reliability and solves the problem of low power supply reliability in this area.","PeriodicalId":427328,"journal":{"name":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on the Influencing Factors of Distribution System Reliability by Network Structure\",\"authors\":\"Yang Fan, Liu Jun, W. Xin, Ren Lijia\",\"doi\":\"10.1109/ICPEA.2019.8818496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to continuous expansion of the power system, the conditions for system operation are becoming more and more complex. In this paper, the improved Monte-Carlo method is used to evaluate reliability of distribution system, so as to solve the problem that the operating conditions of the distribution network system are complex, the increase of the amount of calculation and the low calculation speed of the conventional method. By using the method of equal dispersion sampling, the average value of multiple sub-interval states and test functions is calculated, which further improves the utilization rate of random numbers. In this paper, the reliability evaluation method of distribution network based on decentralized sampling Monte-Carlo method is used to calculate and summarize the influencing factors and trend of the reliability by different network structures. Meanwhile, the structure of network in Shanghai is analyzed and optimized, which obviously improves the reliability and solves the problem of low power supply reliability in this area.\",\"PeriodicalId\":427328,\"journal\":{\"name\":\"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEA.2019.8818496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEA.2019.8818496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on the Influencing Factors of Distribution System Reliability by Network Structure
Due to continuous expansion of the power system, the conditions for system operation are becoming more and more complex. In this paper, the improved Monte-Carlo method is used to evaluate reliability of distribution system, so as to solve the problem that the operating conditions of the distribution network system are complex, the increase of the amount of calculation and the low calculation speed of the conventional method. By using the method of equal dispersion sampling, the average value of multiple sub-interval states and test functions is calculated, which further improves the utilization rate of random numbers. In this paper, the reliability evaluation method of distribution network based on decentralized sampling Monte-Carlo method is used to calculate and summarize the influencing factors and trend of the reliability by different network structures. Meanwhile, the structure of network in Shanghai is analyzed and optimized, which obviously improves the reliability and solves the problem of low power supply reliability in this area.