{"title":"基于神经网络的配电系统电能质量增强","authors":"P. Nayar, Bhim Singh, S. Mishra","doi":"10.1109/IICPE.2014.7115752","DOIUrl":null,"url":null,"abstract":"An application of artificial intelligence is presented in solving power quality problems using a distribution static compensator (DSTATCOM) in the distribution system involving lagging pf loads. A set of three nonlinear neurons is used to obtain the three phase compensating currents. Another set of three layered feed-forward neural network controls the compensating currents. The developed model works accurately under varying load conditions and provides good dynamic response to the step changes in the load currents. A real time performance is achieved using SIMULINKR/Sim-powersystem (SPS) toolboxes and simulated results adhere to the IEEE-519 standard for improvement of power quality.","PeriodicalId":206767,"journal":{"name":"2014 IEEE 6th India International Conference on Power Electronics (IICPE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural network based enhancement of power quality in distribution system\",\"authors\":\"P. Nayar, Bhim Singh, S. Mishra\",\"doi\":\"10.1109/IICPE.2014.7115752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An application of artificial intelligence is presented in solving power quality problems using a distribution static compensator (DSTATCOM) in the distribution system involving lagging pf loads. A set of three nonlinear neurons is used to obtain the three phase compensating currents. Another set of three layered feed-forward neural network controls the compensating currents. The developed model works accurately under varying load conditions and provides good dynamic response to the step changes in the load currents. A real time performance is achieved using SIMULINKR/Sim-powersystem (SPS) toolboxes and simulated results adhere to the IEEE-519 standard for improvement of power quality.\",\"PeriodicalId\":206767,\"journal\":{\"name\":\"2014 IEEE 6th India International Conference on Power Electronics (IICPE)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 6th India International Conference on Power Electronics (IICPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICPE.2014.7115752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 6th India International Conference on Power Electronics (IICPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICPE.2014.7115752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural network based enhancement of power quality in distribution system
An application of artificial intelligence is presented in solving power quality problems using a distribution static compensator (DSTATCOM) in the distribution system involving lagging pf loads. A set of three nonlinear neurons is used to obtain the three phase compensating currents. Another set of three layered feed-forward neural network controls the compensating currents. The developed model works accurately under varying load conditions and provides good dynamic response to the step changes in the load currents. A real time performance is achieved using SIMULINKR/Sim-powersystem (SPS) toolboxes and simulated results adhere to the IEEE-519 standard for improvement of power quality.
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