An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization

Ye Wang (), Zhaiaibai Ma, Mostafa M. Salah () and Ahmed Shaker
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Ye Wang: School of Electrical and Mechanical Engineering, Xuchang University, Xuchang 461000, China
Zhaiaibai Ma: Mechatronics and Automotive Engineering College, Xuchang Vocational and Technical College, Xuchang 461000, China
Mostafa M. Salah: Electrical Engineering Department, Future University in Egypt, Cairo 11835, Egypt
Ahmed Shaker: Engineering Physics and Mathematics Department, Faculty of Engineering, Ain Shams University, Cairo 11535, Egypt

Mathematics, 2023, vol. 11, issue 11, 1-18

Abstract: In this paper, the impact of one of the challenges of the power transmission system, namely three-phase short-circuits, on the stability of the system is discussed. This fault causes the speed change of the synchronous generators, and the control system needs to quickly zero this speed difference. This paper introduces a completely new and innovative method for power system stabilizer design. In the proposed method, there is a PID controller with a type-2 fuzzy compensator whose optimal parameter values are obtained using an improved virus colony search (VCS) algorithm at any time. In the simulation section, both transient short-circuits (timely operation of breakers and protection relays) and permanent short-circuits (failure of breakers and protection relays) are applied. For transient short-circuits, the three control systems of type-1 fuzzy-PID, type-2 fuzzy-PID, and optimized type-2 fuzzy-PID based on VCS for the nominal load and heavy load modes were compared in the simulations. Apart from the three control systems mentioned earlier, the response of a standalone PID controller was also evaluated in the context of the permanent short-circuit mode. According to the simulation results, the proposed method demonstrates superior performance and high efficiency. In contrast, the standalone PID exhibits divergence.

Keywords: power system stabilization; type-2 fuzzy; evolutionary algorithm; short-circuit; self-tuning PID (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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