Implementation of hybrid particle swarm optimization for combined Economic-Emission Load Dispatch Problem

This paper presents the implementation of hybrid particle swarm optimization for solving Economic-Emission Load Dispatch Problem (EELD). Due to environmental issues, the environmental pollution releases by thermal power generation should be considered in power dispatch planning instead of minimizing the total fuel cost only. Significant emission reduction can be achieved by performing the emission power dispatch. In this study, the hybrid Evolutionary programming (EP) and Particle Swarm Optimization (PSO) named Evolutionary Particle Swarm Optimization (EPSO) is proposed. The effectiveness of the EPSO algorithm has been tested on the IEEE 30 bus system and the results obtained are compared with the other reported algorithms. The results also reveal the capability of the proposed EPSO for obtaining the best fuel cost and emission amount at shorter time compared to PSO.