Optimal Coordination of PSS and SSSC Controllers in Power System Using Ant Colony Optimization Algorithm

• Published in: Journal of circuits, systems, and computers Vol. 31; no. 4
• Main Authors: Kamarposhti, Mehrdad Ahmadi, Colak, Ilhami, Iwendi, Celestine, Band, Shahab S., Ibeke, Ebuka
• Format: Journal Article
• Language: English
• Published: Singapore World Scientific Publishing Company 15.03.2022; World Scientific Publishing Co. Pte., Ltd
• Subjects: Algorithms; Ant colony optimization; Dynamic stability; Phase error; Power plants; Synchronism; Volatility; cost reduction; PSS; low-frequency volatility; FACTS devices; SSSC; ant colony optimization algorithm
• ISSN: 0218-1266; 1793-6454
• DOI: 10.1142/S0218126622500608

Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional. Local volatility is the low-frequency volatility of a power plant unit or units of a power plant relative to the grid whereas interregional volatility is the volatility of the units of one area relative to the units of another area. The worst kind of low-frequency volatility occurs when the power system in a region has a short three-phase connection to the earth, creating a complete instability of the grid and operating protective systems. One of the ways to improve the dynamic stability and steady-state of the power system is to use power system stabilizers and FACTS devices in the system. In this paper, the stabilization of the power system stabilizers (PSSs) and SSSC is done using the ant colony algorithm. Studies on a four-machine system with the three-phase error were performed in two scenarios and finally compared with the PSO method. The simulation results show that the proposed method produced more accurate performance.