An Efficient Particle Swarm Optimization with Time Varying Acceleration Coefficients to Solve Economic Dispatch Problem with Valve Point Loading

This paper proposes a particle swarm optimization approach with time varying acceleration coefficients(TVAC_PSO) for an extensive study of the economic dispatch problem with valve point loading(EDVPL). An optimal short-term thermal generation schedule for 24 time intervals has been presented for the same purpose. In this paper, transmission losses and valve-point loading(VPL) have been considered. The VPL effect results in higher order nonlinearities in the input-output characteristics of a generator. For demonstrating the effectiveness of the proposed method two test systems, first one comprisingof three generators and the second one comprising of thirteen generators,have been considered. The performance of the proposed method has been compared with variousPSOstrategies. The results show that the proposed TVAC_PSO strategy provides comparatively better solutions in terms of total fuel cost as compared to other PSO strategies.Also, the global search capability is enhanced and premature convergence is avoided.