Implementation of Ant Colony Optimization and Particle Swarm Optimization in Economic Load Dispatch Problem using Renewable source

摘要

This paper provide a solution for the medium size power plant in economic load dispatch problem using an Ant Colony Optimization and Particle Swarm Optimization with renewable energy. Renewable energy sources are a reasonable choice to tackle the issue of traditional method of electricity produced. Wind power has proven to be promising alternative sources to overcoming the world’s energy crises. Wind intermittent nature and strong penetration into power system is a major challenge to their reliability and securely installations. In this work, ELD problem is formulated using wind cost function. The Renewable power variability and uncertainty entail additional costs, called penalty costs. The algorithms Ant Colony and Particle Swarm Optimization are used to allocate the thermal and wind generating units at minimal operating cost to meet load demand. The proposed calculation has been approved on 26 bus system. The Results obtained with this methodology are compared with each others.