A comparative study of economic load dispatch using sine cosine algorithm

Abstract

Economic Load Dispatch (ELD) is an important part of cost minimization procedure in power system operation. Different derivative and probabilistic methods are used to solve ELD problems. This paper proposes a powerful Sine Cosine Algorithm (SCA) to explain the ELD issue including equality and inequality restrictions. The main aim of ELD is to satisfy the entire electric load at minimum cost. The SCA is a population-based probabilistic method, which guides its search agents that are randomly placed in the search space towards an optimal point using their fitness functions and keeps a track of the best solution achieved by each search agent. SCA was used to solve the ELD problem due to its favorable exploration and local optima escaping technique. This algorithm confirmed that promising areas of the search space were exploited to have a smooth transition from exploration to exploitation using sine and cosine functions. Simulation results proved that the proposed algorithm surpassed other existing optimization techniques in terms of quality of the solution obtained and computational efficiency. The final results also proved the robustness of the SCA.