A Review of Multi-objective Particle Swarm Optimization Algorithms in Power System Economic Dispatch
نویسندگان
چکیده
Particle swarm optimization (PSO) has received increasing attention in solving multi-objective economic dispatch (ED) problems in power systems because of parallel computation, faster convergence, and easier implementation. This paper presents a detailed overview of multi-objective particle swarm optimization (MOPSO) and provides a comprehensive survey on its applications in power system economic dispatch including economic environmental dispatch (EED), multi area EED (MAEED), and multi-objective economic environmental hydrothermal scheduling (MEEHS) problems. It highlights MOPSO advantages over other optimization methods and MOPSO improvements in various applications. Furthermore, MOPSO design suggestion in this area is also discussed.
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