{"title":"一种用于提高高压直流系统性能的神经模糊VDCL单元","authors":"K. Narendra, V. Sood, R. Patel, K. Khorasani","doi":"10.1109/CCECE.1995.528169","DOIUrl":null,"url":null,"abstract":"A neuro-fuzzy (NF) voltage dependent current-reference limiter (VDCL) unit to enhance the performance of an HVDC system is proposed in this paper. This unit utilizes a new method of combining a radial basis function neural network (RBFNN) output with a fuzzy inference mechanism to produce an adaptive current reference for the HVDC controller. Results from simulations show that this adaptive current reference improves the performance of the HVDC system under dynamic operating conditions.","PeriodicalId":158581,"journal":{"name":"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A neuro-fuzzy VDCL unit to enhance the performance of an HVDC system\",\"authors\":\"K. Narendra, V. Sood, R. Patel, K. Khorasani\",\"doi\":\"10.1109/CCECE.1995.528169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A neuro-fuzzy (NF) voltage dependent current-reference limiter (VDCL) unit to enhance the performance of an HVDC system is proposed in this paper. This unit utilizes a new method of combining a radial basis function neural network (RBFNN) output with a fuzzy inference mechanism to produce an adaptive current reference for the HVDC controller. Results from simulations show that this adaptive current reference improves the performance of the HVDC system under dynamic operating conditions.\",\"PeriodicalId\":158581,\"journal\":{\"name\":\"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1995.528169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 Canadian Conference on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1995.528169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A neuro-fuzzy VDCL unit to enhance the performance of an HVDC system
A neuro-fuzzy (NF) voltage dependent current-reference limiter (VDCL) unit to enhance the performance of an HVDC system is proposed in this paper. This unit utilizes a new method of combining a radial basis function neural network (RBFNN) output with a fuzzy inference mechanism to produce an adaptive current reference for the HVDC controller. Results from simulations show that this adaptive current reference improves the performance of the HVDC system under dynamic operating conditions.
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