Solving Bid-based Environmental-Dynamic Economic Dispatch Using a Hybrid Algorithm Based on Bacterial Foraging and Differential Evolution Algorithm

In an electricity market¡ all market players¡ generating companies and large customers¡ submit their bids to market operator. Then using the aggregated supply/demand curve¡ the market operator determines the market prices and the schedules the supply of generating companies and the demand level of customers within the planning horizon to maximize the social profit. In this paper¡ a new hybrid optimization algorithm based on bacterial foraging and differential evolution algorithm is presented to solve the bid-based environmental-dynamic economic dispatch. The hybrid algorithm performs search through a stochastic gradient search with adaptive movement operation that has been coupled with differential evolution mutation and crossing over of the optimization agents. Simulation results on different case studies show that the performance of the purposed method is better than previous methods in convergence speed¡ stability and precision