{"title":"输电网扩容规划软件工具","authors":"A. Simo, C. Barbulescu, S. Kilyeni, A. Stoian","doi":"10.1109/SACI.2015.7208195","DOIUrl":null,"url":null,"abstract":"The authors are proposing a software-tool for transmission network expansion planning (TNEP). The developed software-tool is able to be used in case of complex, large scale power systems. It uses a.c. complete power flow mathematical model. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods. Within this field, two methods have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA).","PeriodicalId":312683,"journal":{"name":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Transmission network expansion planning software-tools\",\"authors\":\"A. Simo, C. Barbulescu, S. Kilyeni, A. Stoian\",\"doi\":\"10.1109/SACI.2015.7208195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors are proposing a software-tool for transmission network expansion planning (TNEP). The developed software-tool is able to be used in case of complex, large scale power systems. It uses a.c. complete power flow mathematical model. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods. Within this field, two methods have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA).\",\"PeriodicalId\":312683,\"journal\":{\"name\":\"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2015.7208195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2015.7208195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors are proposing a software-tool for transmission network expansion planning (TNEP). The developed software-tool is able to be used in case of complex, large scale power systems. It uses a.c. complete power flow mathematical model. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods. Within this field, two methods have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA).