Modified Adaptive Tabu Search Algorithms for Economic Load Dispatch

Abstract

Abstract

This paper presents an application of the modified adaptive tabu search algorithms (mATS) to economic load dispatch
(ELD). The proposed mATS algorithms with adaptive neighborhood easily handles different constraints like transmission losses, ramp rate limits and also prohibited operating zones. Simulations were divided into two parts, the first part has been set for static economic load dispatch over the six-unit test system and another part for dynamic economic load dispatch (DED) has treated over the five-unit test system with nonsmooth fuel cost function concerning valve point loading effects. Simulation results were a comparison between of the proposed mATS and of the other algorithms including the original ATS, genetic algorithms (GA) and particle swarm optimization (PSO). The findings affirmed the robustness and proficiency of the proposed algorithms over
other existing techniques.