{"title":"2x25kV牵引系统变电站最优间距","authors":"Nisha Gupta, Archita Vijayvargia, A. Abhyankar","doi":"10.1109/NPSC57038.2022.10069563","DOIUrl":null,"url":null,"abstract":"The paper presents a simple approach to determine optimal substation spacing in a 2x25kV traction power supply system (TPSS). Economy, being one of the significant design parameters of TPSS, is affected by the number of traction substations (TSS) or distance between them. Hence, this paper highlights the influence of total cost incurred in TPSS due to energy losses and component installation on substation spacing. Particle swarm optimization (PSO) technique and analytical approach are used to determine the optimal spacing between substations. Individual components of the 2x25kV TPSS are modelled to perform load flow analysis using a current injection algorithm. A Python code is developed to simulate load flow and determine optimal substation spacing. Results obtained with the proposed approach align effectively with the objective of determining the optimal spacing between substations with minimized TPSS costs.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"66 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Substation Spacing in 2x25kV Traction System\",\"authors\":\"Nisha Gupta, Archita Vijayvargia, A. Abhyankar\",\"doi\":\"10.1109/NPSC57038.2022.10069563\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a simple approach to determine optimal substation spacing in a 2x25kV traction power supply system (TPSS). Economy, being one of the significant design parameters of TPSS, is affected by the number of traction substations (TSS) or distance between them. Hence, this paper highlights the influence of total cost incurred in TPSS due to energy losses and component installation on substation spacing. Particle swarm optimization (PSO) technique and analytical approach are used to determine the optimal spacing between substations. Individual components of the 2x25kV TPSS are modelled to perform load flow analysis using a current injection algorithm. A Python code is developed to simulate load flow and determine optimal substation spacing. Results obtained with the proposed approach align effectively with the objective of determining the optimal spacing between substations with minimized TPSS costs.\",\"PeriodicalId\":162808,\"journal\":{\"name\":\"2022 22nd National Power Systems Conference (NPSC)\",\"volume\":\"66 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 22nd National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC57038.2022.10069563\",\"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/NPSC57038.2022.10069563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Substation Spacing in 2x25kV Traction System
The paper presents a simple approach to determine optimal substation spacing in a 2x25kV traction power supply system (TPSS). Economy, being one of the significant design parameters of TPSS, is affected by the number of traction substations (TSS) or distance between them. Hence, this paper highlights the influence of total cost incurred in TPSS due to energy losses and component installation on substation spacing. Particle swarm optimization (PSO) technique and analytical approach are used to determine the optimal spacing between substations. Individual components of the 2x25kV TPSS are modelled to perform load flow analysis using a current injection algorithm. A Python code is developed to simulate load flow and determine optimal substation spacing. Results obtained with the proposed approach align effectively with the objective of determining the optimal spacing between substations with minimized TPSS costs.