Power System Stability Enhancement Using Robust FACTS-Based Stabilizer Designed by a Hybrid Optimization Algorithm

Saeed Behzadpoor, Iraj Faraji Davoudkhani, Almoataz Youssef Abdelaziz (), Zong Woo Geem and Junhee Hong ()
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Saeed Behzadpoor: Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Technical and Vocational University (TVU), Tehran 14357-63811, Iran
Iraj Faraji Davoudkhani: Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil 56199-13131, Iran
Almoataz Youssef Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Zong Woo Geem: Department of Smart City & Energy, Gachon University, Seongnam 13120, Republic of Korea
Junhee Hong: Department of Smart City & Energy, Gachon University, Seongnam 13120, Republic of Korea

Energies, 2022, vol. 15, issue 22, 1-30

Abstract: Improving the stability of power systems using FACT devices is an important and effective method. This paper uses a static synchronous series compensator (SSSC) installed in a power system to smooth out inter-area oscillations. A meta-heuristic optimization method is proposed to design the supplementary damping controller and its installation control channel within the SSSC. In this method, two control channels, phase and magnitude have been investigated for installing a damping controller to improve maximum stability and resistance in different operating conditions. An effective control channel has been selected. The objective function considered in this optimization method is multi-objective, using the sum of weighted coefficients method. The first function aims to minimize the control gain of the damping controller to the reduction of control cost, and the second objective function moves the critical modes to improve stability. It is defined as the minimum phase within the design constraints of the controller. A hybrid of two well-known meta-heuristic methods, the genetic algorithm (GA) and grey wolf optimizer (GWO) algorithm have been used to design this controller. The proposed method in this paper has been applied to develop a robust damping controller with an optimal control channel based on SSSC for two standard test systems of 4 and 50 IEEE machines. The results obtained from the analysis of eigenvalues and nonlinear simulation of the power system study show the improvement in the stability of the power system as well as the robust performance of the damping in the phase control channel.

Keywords: inter-area oscillations; static synchronous series compensator (SSSC); grey wolf optimizer (GWO) algorithm; genetic algorithm (GA); robust damping controller; power system stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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