Tuning of Acceleration Coefficients of Particle Swarm Optimization for Economic Load Dispatch

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Abstract

Economic load dispatch (ELD) is one of the most common power in-dustry optimization problems. Particle swarm optimization (PSO) is the most effective technique to solve ELD problems. Since the invention of PSO, tuning PSO control parameters has gained a lot of attention among the researchers that improves the performance of PSO. In this study, local and social acceleration coefficient (C1 and C2 respectively) of PSO has been tuned for ELD problem. The study found that the best fuel cost is 1597.989 $/hr. for the load demand of 150 MW. The obtained results also reveal that the equal values of local and so-cial coefficients (C1 = C2 = 2) provide best fuel cost and less average power loss in 20 trial runs. However, higher value of local coefficients (C1 = 3 and C2 = 1) provides consistent results and higher value of social coefficients (C1 = 1.5 and C2 = 2.5) give results in less run time.

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Keywords

Economic Load Dispatch (ELD); Particle Swarm Optimization (PSO); Local Acceleration Coefficient, Social Acceleration Coefficient.