Coordination Design of Power System Stabilizer and FACTS Controllers Using Nature-Inspired Metaheuristics Optimization Algorithms– A Brief Review
محورهای موضوعی : مهندسی هوشمند برق
Sayed Mohammadali Zanjani
1
,
Ghazanfar Shahgholian
2
,
Arman Fathollahi
3
,
Sayed Mohammad Hosain Zanjani
4
1 - Najafabad Branch, Islamic Azad University
2 - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
3 - 3Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
4 - Najafabad Branch, Islamic Azad University
کلید واژه: Renewable Energy, Power System Stabilizer, Optimization Algorithms, flexible alternating current transmission system,
چکیده مقاله :
Electromechanical oscillations in power systems usually exist due to incompatible conditions and disturbances in the network. Meta-heuristics using search strategy are used to find near-optimal solutions. Typically, the implementation of this approach involves the utilization of a fitness function to assess the candidate solutions. In nature-inspired metaheuristics optimization algorithms, an analogy from nature is used to generate approximate solutions for practical optimization problems. This work presents a comprehensive investigation into various nature-inspired optimization algorithms, including ant colony optimization, genetic algorithm, and bat algorithm. The primary focus of this paper is to explore their efficacy in the coordinated design of Power System Stabilizers (PSS) and Flexible Alternating Current Transmission Systems (FACTS). The objective of this coordinated design is to improve energy system stability and mitigate power system oscillations. Finally, new directions are provided to researchers who work in the field of applications of nature-inspired optimization algorithms and coordination configuration of PSS and FACTS regulators.
Electromechanical oscillations in power systems usually exist due to incompatible conditions and disturbances in the network. Meta-heuristics using search strategy are used to find near-optimal solutions. Typically, the implementation of this approach involves the utilization of a fitness function to assess the candidate solutions. In nature-inspired metaheuristics optimization algorithms, an analogy from nature is used to generate approximate solutions for practical optimization problems. This work presents a comprehensive investigation into various nature-inspired optimization algorithms, including ant colony optimization, genetic algorithm, and bat algorithm. The primary focus of this paper is to explore their efficacy in the coordinated design of Power System Stabilizers (PSS) and Flexible Alternating Current Transmission Systems (FACTS). The objective of this coordinated design is to improve energy system stability and mitigate power system oscillations. Finally, new directions are provided to researchers who work in the field of applications of nature-inspired optimization algorithms and coordination configuration of PSS and FACTS regulators.
