Applications of Particle Swarm Optimization Algorithms in Coordination Between Power System Stabilizer and Flexible AC Transmission

• Published in: International Symposium on Intelligent Systems & Informatics pp. 000127 - 000132
• Main Authors: Moazzami, Majid, Shahgholian, Ghazanfar, Heydaran-Daroogheh-Amnyieh, Zahra, Mosavi, Amirhosein, Fathollahi, Arman
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.09.2023
• Subjects: artificial intelligence; big data; Damping; dynamic stability; energy; engineering; Flexible AC transmission systems; flexible alternating current transmission; mathematical modeling; mathematics; Metaheuristics; Oscillators; Particle swarm optimization; power system; Power system stability; power system stabilizer; review; Search problems; soft computing; survey; sustainability; transient stability
• ISSN: 1949-0488
• DOI: 10.1109/SISY60376.2023.10417745

Interconnected power systems require the damping of oscillations to ensure secure operation. Traditional power system stabilizers (PSSs) may, however, not be able to sufficiently dampen inter-area oscillations in multi-machine energy networks. PSSs and flexible AC transmission systems (FACTS) devices are frequently utilized to improve system stability. Meta-heuristic algorithms using search strategies are utilized to find near-optimal solutions. These strategies typically rely on a fitness function to evaluate candidate solutions and are inspired by natural systems. In this work, we furnish a concise overview of particle swarm optimization algorithms applied for the coordinated arrangement of PSS and FACTS controllers, presenting new directions for researchers working on meta-heuristic algorithms and coordination design of FACTS and PSS controllers for inter-area oscillation damping in power systems.