{"title":"模型预测控制提高UPFC SMIB系统小信号稳定性","authors":"Sunina Koul, S. Tiwari","doi":"10.1109/NUICONE.2011.6153280","DOIUrl":null,"url":null,"abstract":"This paper investigates the effectiveness of Model Predictive Controller and its ability to damp out the low frequency oscillations and improve the small signal stability of single machine infinite bus system. The damping functions of the UPFC with various alternative control signals are investigated on the basis of linearized Heffron Phillips model of SMIB equipped with UPFC. The performance of model predictive controller has been compared to that of a controller based on phase compensation technique and is found to be superior as it uses the optimized control inputs to bring stability to the plant. The performance effectiveness of various control signals is evaluated and the best way of controlling the UPFC is proposed.","PeriodicalId":206392,"journal":{"name":"2011 Nirma University International Conference on Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Model predictive control for improving small signal stability of a UPFC equipped SMIB system\",\"authors\":\"Sunina Koul, S. Tiwari\",\"doi\":\"10.1109/NUICONE.2011.6153280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the effectiveness of Model Predictive Controller and its ability to damp out the low frequency oscillations and improve the small signal stability of single machine infinite bus system. The damping functions of the UPFC with various alternative control signals are investigated on the basis of linearized Heffron Phillips model of SMIB equipped with UPFC. The performance of model predictive controller has been compared to that of a controller based on phase compensation technique and is found to be superior as it uses the optimized control inputs to bring stability to the plant. The performance effectiveness of various control signals is evaluated and the best way of controlling the UPFC is proposed.\",\"PeriodicalId\":206392,\"journal\":{\"name\":\"2011 Nirma University International Conference on Engineering\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Nirma University International Conference on Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NUICONE.2011.6153280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Nirma University International Conference on Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUICONE.2011.6153280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model predictive control for improving small signal stability of a UPFC equipped SMIB system
This paper investigates the effectiveness of Model Predictive Controller and its ability to damp out the low frequency oscillations and improve the small signal stability of single machine infinite bus system. The damping functions of the UPFC with various alternative control signals are investigated on the basis of linearized Heffron Phillips model of SMIB equipped with UPFC. The performance of model predictive controller has been compared to that of a controller based on phase compensation technique and is found to be superior as it uses the optimized control inputs to bring stability to the plant. The performance effectiveness of various control signals is evaluated and the best way of controlling the UPFC is proposed.
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