An Efficient Particle Swarm Optimization Technique to Solve Combined Economic Emission Dispatch Problem
نویسندگان
چکیده
Economic load dispatch (ELD) and economic emission dispatch (CEED) have been applied to obtain optimal fuel cost and optimal emission of generating units, respectively. Combined economic emission dispatch (CEED) problem is obtained by considering both the economy and emission objectives. This biobjective CEED problem is converted into a single objective function using a price penalty factor approach. A novel modified price penalty factor is proposed to solve the CEED problem. In this paper, results of evolutionary computation(EC) methods such as genetic algorithm(GA), micro GA (MGA) and An Efficient Particle Swarm Optimization Technique to Solve Combined Economic Emission Dispatch Problem 188 evolutionary programming (EP) are obtained and compared with the results obtained from EPSO to CEED problem solutions for three unit systems. Investigations showed that EPSO was better among EC methods in solving the CEED problem. The solutions obtained are quite encouraging and useful in economic emission environment. Index Term: Combined Cycle Cogeneration plant, Combined economic emission dispatch, economic load dispatch, efficient particle swarm optimization, price penalty factor
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