Intelligent power system stabilizer design using adaptive fuzzy sliding mode controller

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• 作者：Mohsen Farahani^a ; ^{m.farahani@basu.ac.ir}Author Vitae ; Soheil Ganjefar^b ; ^{s_ganjefar@basu.ac.ir}Author Vitae
• 关键词：Power system stabilizer (PSS) ; Sliding mode controller ; Adaptive fuzzy controller
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：22 February 2017
• 年：2017
• 卷：226
• 期：Complete
• 页码：135-144
• 全文大小：1044 K
• 卷排序：226

文摘

This paper proposes an adaptive fuzzy sliding mode controller (AFSMC) with a PI switching surface to damp power system oscillations. To overcome the difficulties in the design of a sliding-mode controller, which are the supposition of known uncertainty bounds and the chattering phenomenon in the control effort, a wavelet neural network (WNN) sliding-mode control system is studied. In the control system of the WNN sliding-mode, a WNN bound observer is developed to adjust the bound of uncertainties in real time. An adaption law is obtained from the Lyapunov stability theory, so the stability of the closed-loop system can be guaranteed. Then, the effectiveness of the AFSMC is studied under different situations of a two-area four-machine power system. The results verify that performance of AFSMC is much better than conventional power system stabilizer (CPSS).