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《Transactions of China Electrotechnical Society》 2004-05
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A Power System Stabilizer Based on Neural Network Inverse System

Liang Youwei Hu Zhijian Chen Yunping(Wuhan University Wuhan 430072 China)  
A novel power system stabilizer (PSS) based on an artificial neural network a th order inverse system (NNIPSS) is presented. The reversibility of an excitation system with PSS is proved firstly. Then, with the power angles of the generators as the controlled variables, the designing and training methods of the neural network inverse system are described in details. In order to improve the dynamics performance and robustness of the neural network inverse system, a Fuzzy-PID switch controller is adopted. Simulation of one machine infinite-bus system shows that the proposed NNIPSS can provide better performances compared with a conventional PSS (CPSS).
【CateGory Index】: TM64
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