{"title":"基于遗传算法的UPFC神经模糊阻尼控制系统提高电力系统暂态稳定性","authors":"L. Khan, N. Ahmed, C. Lozano","doi":"10.1109/INMIC.2003.1416727","DOIUrl":null,"url":null,"abstract":"A hybrid GA-neurofuzzy damping control system for a unified power flow controller (UPFC) is proposed to enhance the transient and dynamic stability of a power system. The neurofuzzy damping controller is configured by employing a five layer feedforward fuzzy neural network. A novel \"grandparenting\" technique is employed for seeding the initial population to hasten the convergence speed of micro-GA. Also, a parallel micro-GA scheme is used to speed up the genetic algorithm search-space surfing process. The performance of the resulting neurofuzzy-based UPFC is validated in a multi-machine power system environment by means of digital simulation.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"GA neuro-fuzzy damping control system for UPFC to enhance power system transient stability\",\"authors\":\"L. Khan, N. Ahmed, C. Lozano\",\"doi\":\"10.1109/INMIC.2003.1416727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hybrid GA-neurofuzzy damping control system for a unified power flow controller (UPFC) is proposed to enhance the transient and dynamic stability of a power system. The neurofuzzy damping controller is configured by employing a five layer feedforward fuzzy neural network. A novel \\\"grandparenting\\\" technique is employed for seeding the initial population to hasten the convergence speed of micro-GA. Also, a parallel micro-GA scheme is used to speed up the genetic algorithm search-space surfing process. The performance of the resulting neurofuzzy-based UPFC is validated in a multi-machine power system environment by means of digital simulation.\",\"PeriodicalId\":253329,\"journal\":{\"name\":\"7th International Multi Topic Conference, 2003. INMIC 2003.\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Multi Topic Conference, 2003. INMIC 2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INMIC.2003.1416727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Multi Topic Conference, 2003. INMIC 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INMIC.2003.1416727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GA neuro-fuzzy damping control system for UPFC to enhance power system transient stability
A hybrid GA-neurofuzzy damping control system for a unified power flow controller (UPFC) is proposed to enhance the transient and dynamic stability of a power system. The neurofuzzy damping controller is configured by employing a five layer feedforward fuzzy neural network. A novel "grandparenting" technique is employed for seeding the initial population to hasten the convergence speed of micro-GA. Also, a parallel micro-GA scheme is used to speed up the genetic algorithm search-space surfing process. The performance of the resulting neurofuzzy-based UPFC is validated in a multi-machine power system environment by means of digital simulation.
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