{"title":"基于粒子群算法和价值指标法的变电站设计优化研究","authors":"Jinchao Li, H. Yang","doi":"10.12733/JICS20105571","DOIUrl":null,"url":null,"abstract":"In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Substation Design Optimization Research Based on PSO and Value Index Method\",\"authors\":\"Jinchao Li, H. Yang\",\"doi\":\"10.12733/JICS20105571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.\",\"PeriodicalId\":213716,\"journal\":{\"name\":\"The Journal of Information and Computational Science\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Information and Computational Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12733/JICS20105571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Information and Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12733/JICS20105571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Substation Design Optimization Research Based on PSO and Value Index Method
In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes’ combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.