Coordinated design of PSS and STATCOM-POD based on the GA-PSO algorithm to improve the stability of wind-PV-thermal-bundled power system. (October 2022)

• Record Type: Journal Article
• Authors: He, Ping; Fang, Qiyuan; Jin, Haoran; Ji, Yuqi; Gong, Zhijie; Dong, Jie
• Is Part Of: International journal of electrical power & energy systems. Volume 141(2022)
• Publication Date: 2022-10
• Subjects: Wind-PV-thermal-bundled power transmission -- STATCOM-POD -- GA-PSO -- Low-frequency oscillation -- Voltage stability; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2022.108208
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: The framework of the wind-PV-thermal-bundled power system is constructed based on MATLAB. A modified GA-PSO optimization algorithm to coordinate and optimize STATCOM-POD and PSS, based on system damping and voltage control is proposed. Small-signal eigenvalue analysis and dynamic time-domain simulation are implemented in two classical power systems to test the effectiveness of the proposed algorithm. Abstract: The application of renewable energy has a significant impact on the stability of power systems. This article jointly uses static synchronous compensator (STATCOM), additional power oscillation damping (POD) controller and power system stabilizers (PSSs) to improve the stability of power systems in transmission network. An enhanced intelligent optimization algorithm is utilized to optimize the controller parameters. The proposed algorithm introduces the idea of combined genetic algorithm (GA) and particle swarm algorithm (PSO) to overcome the local convergence problem of the PSO. The voltage control and damping control of STATCOM are comprehensively considered in the objective function to suppress low-frequency power oscillation (LFO) while ensuring the effectiveness of voltage control. Numerical results from the IEEE 4 machine 2 area system and the IEEE 16-machine five-areas system demonstrate the effectiveness of the proposed method and the superiority on restraining the LFO of the wind-PV-thermal-bundled (WPTB) system.