Application of Advanced Particle Swarm Optimization Techniques to Wind-Thermal Coordination

New and renewable energy sources are being explored and utilized due to the rise of environmental concerns and progressive extinction of traditional fossil energy sources. Wind power generation is one of such sources and is extensively integrated in the existing power systems. Development of better wind-thermal coordination algorithm is necessary to determine the optimal proportion of wind and thermal generator capacity that can be integrated into the system. In this paper, four versions of Particle Swarm Optimization (PSO) techniques are proposed for solving wind-thermal coordination problem. A pseudo code based algorithm is suggested to deal with the equality constraints of the problem for accelerating the optimization process. The simulation results show that the proposed PSO methods are capable of obtaining higher quality solutions efficiently in wind-thermal coordination problems.