A fuzzy control framework for interconnected nonlinear power networks under TDS attack: Estimation and compensation |
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| Authors: | Zhixiong Zhong Yanzheng Zhu Chih-Min Lin Tao Huang |
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| Institution: | 1. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou 350108, China;2. Digital Fujian IoT Laboratory of Intelligent Production, Minjiang University, Fuzhou 350108, China;3. School of Computing, Engineering and Mathematics, Western Sydney University, Australia;4. Department of Electrical Engineering and Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan;5. School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;1. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China;2. School of Mathematics and Physics, Anhui University of Technology, Ma’anshan 243002, China;3. school of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China;1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong 266520, China;2. School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252059, China |
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| Abstract: | This article focuses on time delay switch (TDS) attacks on power networks subject to highly nonlinear and interconnection. T–S model is utilized to represent each nonlinear power subsystem in the network. In order to attenuate adverse impacts from TDS attacks, a novel control technique of estimation and compensation is proposed. Combined with the method of finite time boundedness (FTB), transient stability of power systems could be achieved. First, an augmented fuzzy observer is constructed to capacitate a synchronous estimation for system states and TDS attacks, which ensures that the estimation error is limited via the intersection operation of ellipsoids within a specified finite time interval. Then, a compensation technique is employed to attenuate the influence from TDS attacks. Finally, simulation results of a distributed power network show the efficacy of the proposed method against TDS attacks. |
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