Intelligent optimal sieving method for FACTS device control in multi-machine systems

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• 作者：Lu ; Qiang ; Wang ; Wencong ; Shen ; Chen ; Mei ; Shengwei ; Goto ; Masuo ; Yokoyama ; Akihiko
• 关键词：FACTS ; Intelligent control ; Optimal sieve ; Predictive control
• 刊名：Electric Power Systems Research
• 出版年：2002
• 出版时间：July 28, 2002
• 年：2002
• 卷：62
• 期：3
• 页码：209-214
• 全文大小：760 K

文摘

A multi-target oriented optimal control strategy for FACTS devices installed in multi-machine power systems is presented in this paper, which is named the intelligent optimal sieving control (IOSC) method. This new method divides the FACTS device output region into several parts and selects one typical value from each part, which is called output candidate. Then, an intelligent optimal sieve is constructed, which predicts the impacts of each output candidate on a power system and sieves out an optimal output from all of the candidates. The artificial neural network technologies and fuzzy methods are applied to build the intelligent sieve. Finally, the real control signal of FACTS devices is calculated according to the selected optimal output through inverse system method. Simulation has been done on a three-machine power system and the results show that the proposed IOSC controller can effectively attenuate system oscillations and enhance the power system transient stability.