{"title":"基于ANFIS的混合神经模糊方法在四区水热互联电力系统负荷频率控制中的应用","authors":"Devashish Sharma, Kamlesh Pandey, Varsha Kushwaha, Sumeet Sehrawat","doi":"10.1109/CIPECH.2016.7918755","DOIUrl":null,"url":null,"abstract":"This paper presents an ANFIS based intelligent load frequency control approach for a hybrid power system with four thermal-hydro control areas. The merit of the proposed controlling technique is that it is faster than the automatic conventional control techniques and is able to handle the non-linearities simultaneously. Also the maximum overshoot and the settling time of ANFIS based controller are lesser when compared to the conventional controllers, thereby reducing the oscillations locally and of inter-area. This effectiveness of the proposed controller in improving the dynamic response is shown and validated in four area inter-connected system. Thermal control areas (1 and 2) have reheat turbines and areas 3 and 4 comprises hydro-power plants. Comparison in performances of PI, PID control technique and ANFIS control approach is carried out in MATLAB/SIMULINK software. The results validates that the ANFIS based intelligent controller is faster than the conventional controller and have improved dynamic response.","PeriodicalId":247543,"journal":{"name":"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Load frequency control of four-area hydro-thermal inter-connected power system through ANFIS based hybrid neuro-fuzzy approach\",\"authors\":\"Devashish Sharma, Kamlesh Pandey, Varsha Kushwaha, Sumeet Sehrawat\",\"doi\":\"10.1109/CIPECH.2016.7918755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an ANFIS based intelligent load frequency control approach for a hybrid power system with four thermal-hydro control areas. The merit of the proposed controlling technique is that it is faster than the automatic conventional control techniques and is able to handle the non-linearities simultaneously. Also the maximum overshoot and the settling time of ANFIS based controller are lesser when compared to the conventional controllers, thereby reducing the oscillations locally and of inter-area. This effectiveness of the proposed controller in improving the dynamic response is shown and validated in four area inter-connected system. Thermal control areas (1 and 2) have reheat turbines and areas 3 and 4 comprises hydro-power plants. Comparison in performances of PI, PID control technique and ANFIS control approach is carried out in MATLAB/SIMULINK software. The results validates that the ANFIS based intelligent controller is faster than the conventional controller and have improved dynamic response.\",\"PeriodicalId\":247543,\"journal\":{\"name\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2016.7918755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2016.7918755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load frequency control of four-area hydro-thermal inter-connected power system through ANFIS based hybrid neuro-fuzzy approach
This paper presents an ANFIS based intelligent load frequency control approach for a hybrid power system with four thermal-hydro control areas. The merit of the proposed controlling technique is that it is faster than the automatic conventional control techniques and is able to handle the non-linearities simultaneously. Also the maximum overshoot and the settling time of ANFIS based controller are lesser when compared to the conventional controllers, thereby reducing the oscillations locally and of inter-area. This effectiveness of the proposed controller in improving the dynamic response is shown and validated in four area inter-connected system. Thermal control areas (1 and 2) have reheat turbines and areas 3 and 4 comprises hydro-power plants. Comparison in performances of PI, PID control technique and ANFIS control approach is carried out in MATLAB/SIMULINK software. The results validates that the ANFIS based intelligent controller is faster than the conventional controller and have improved dynamic response.