{"title":"时变电压负载下提高系统性能的最优分布式发电和网络重构策略","authors":"A. K. Barnwal, A. Srivastava, M. K. Verma","doi":"10.1109/NPSC57038.2022.10068892","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology of network reconfiguration (NR) in presence of distribution generation (DG) unit for time varying voltage dependent loads in a distribution network. DG is placed optimally at the location determined by calculating the sensitivity index based on voltage stability. The technique of Particle Swarm optimization is preferred for calculating the optimal size of DG. In this work two different types of varying loads are considered. One is Residential summer night loads and the other is Electric Vehicle type loads. There are two prominent objectives of the proposed methodology, first, losses reduction and, second, to improve the voltage profile of the system. The ultimate attempt of this work is to increase the reliability of the system by using a renewable based DG in order to have better resilience of the system. For reconfiguration of the network the look up tie-switches opening table is presented. The proposed methodology is effectuated on a 33-node distribution network which has four feeders with one substation.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Distributed Generation and Network Reconfiguration Strategy to Enhance System Performance Under Time Varying Voltage Dependent Loads\",\"authors\":\"A. K. Barnwal, A. Srivastava, M. K. Verma\",\"doi\":\"10.1109/NPSC57038.2022.10068892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology of network reconfiguration (NR) in presence of distribution generation (DG) unit for time varying voltage dependent loads in a distribution network. DG is placed optimally at the location determined by calculating the sensitivity index based on voltage stability. The technique of Particle Swarm optimization is preferred for calculating the optimal size of DG. In this work two different types of varying loads are considered. One is Residential summer night loads and the other is Electric Vehicle type loads. There are two prominent objectives of the proposed methodology, first, losses reduction and, second, to improve the voltage profile of the system. The ultimate attempt of this work is to increase the reliability of the system by using a renewable based DG in order to have better resilience of the system. For reconfiguration of the network the look up tie-switches opening table is presented. The proposed methodology is effectuated on a 33-node distribution network which has four feeders with one substation.\",\"PeriodicalId\":162808,\"journal\":{\"name\":\"2022 22nd National Power Systems Conference (NPSC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 22nd National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC57038.2022.10068892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd National Power Systems Conference (NPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPSC57038.2022.10068892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Distributed Generation and Network Reconfiguration Strategy to Enhance System Performance Under Time Varying Voltage Dependent Loads
This paper presents a methodology of network reconfiguration (NR) in presence of distribution generation (DG) unit for time varying voltage dependent loads in a distribution network. DG is placed optimally at the location determined by calculating the sensitivity index based on voltage stability. The technique of Particle Swarm optimization is preferred for calculating the optimal size of DG. In this work two different types of varying loads are considered. One is Residential summer night loads and the other is Electric Vehicle type loads. There are two prominent objectives of the proposed methodology, first, losses reduction and, second, to improve the voltage profile of the system. The ultimate attempt of this work is to increase the reliability of the system by using a renewable based DG in order to have better resilience of the system. For reconfiguration of the network the look up tie-switches opening table is presented. The proposed methodology is effectuated on a 33-node distribution network which has four feeders with one substation.