A robust stochastic stability analysis approach for power system considering wind speed prediction error based on Markov model |
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| Affiliation: | 1. State Grid Jiangsu Electric Power Co., LTD. Marketing Service Center, Nanjing 210019, China;2. School of Marine Engineering, Jimei University, Xiamen 361021, China;1. Electrical Engineering Department, Faculty of Engineering, Cairo university, Egypt;2. Department of Mechatronics, Faculty of Engineering, Autonomous University Carmen, Cd. del Carmen 24180, Mexico;3. Departamento de Control Automatico, CINVESTAV, A.P. 14-740, Mexico D.F. CP 07000, Mexico;1. School of Information Engineering, Yangzhou University, Yangzhou Jiangsu, China;2. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China |
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| Abstract: | This paper proposes a robust stochastic stability analysis approach with partly unknown transition probability by considering the wind speed prediction error in power system. Firstly, taking this prediction error into account, based on Markov modeling theory, the stochastic dynamic model of wind power system with uncertain transition probability is developed. Secondly, according to the stochastic stability theory of Markov jump system, the transition probability of wind power system mode is divided into three cases: fully known, only known upper and lower bounds, and completely unknown. Then, by using linear matrix inequality (LMI) technology, a robust stochastic stability criterion with disturbance attenuation is obtained. Finally, test results show that the proposed analysis approach does not need to obtain the trajectory of the actual system operation parameters, and has the advantages of high computational efficiency. |
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