University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 2 4 2012 01 21 A New self-Tuning Fuzzy Stabilizer Using Differential Evolution Algorithm for Multi-machine Power Systems A New self-Tuning Fuzzy Stabilizer Using Differential Evolution Algorithm for Multi-machine Power Systems 75 88 15327 FA Jalal Razavi Moghadam Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran Amin Khodabakhshian Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran Rahmatollah Hooshmand Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran Journal Article 2016 06 14 This paper presents a new method to design a robust power system stabilizer (PSS) by using the self-tuning fuzzy logic (SFL) technique in combination with Differential Evolution Algorithm (DEA). Depending on the process trend, the output Scaling Factor (SF) of the controller is modified on-line by an updating factor ( ). The DEA based method is used for off-line training of this controller. Simulation results are carried out on a multi-machine power system. Comparative results of the proposed controller (SFLPSS) with conventional fuzzy logic PSS (FLPSS) designed by DEA, lead-lag PSS designed by DEA (DELLPSS) and conventional PSS (CPSS) show the improvement in dynamic performance of the system. This paper presents a new method to design a robust power system stabilizer (PSS) by using the self-tuning fuzzy logic (SFL) technique in combination with Differential Evolution Algorithm (DEA). Depending on the process trend, the output Scaling Factor (SF) of the controller is modified on-line by an updating factor ( ). The DEA based method is used for off-line training of this controller. Simulation results are carried out on a multi-machine power system. Comparative results of the proposed controller (SFLPSS) with conventional fuzzy logic PSS (FLPSS) designed by DEA, lead-lag PSS designed by DEA (DELLPSS) and conventional PSS (CPSS) show the improvement in dynamic performance of the system. https://isee.ui.ac.ir/article_15327_bb2cec770e4901aa22393c95d0eb71e0.pdf