Cuckoo Search Algorithm Application for Economic Dispatch with Wind Farm in Power Systems

Abstract

This paper introduces a new method to solve economic dispatch problem in power system operation with wind farm (WF) connecting. The method is cuckoo search algorithm (CSA) which can to solve effective ED problem. The subject of this paper is optimal solutions about total power output each generator and WF with minimum operation cost in power system. The research study CSA and develop this method which become new method more efficient than former methods. CSA apply to solve ED problem with WF which give the best results and programming time. For ED problem simulator, program applies 30 buses IEEE system and Matpower 4.1 Toolbox to run power system with WF connecting. The results of this method also are compared to other previous methods and assess its results.

Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review

“…The algorithm is enhanced with levy flight search approach than normal isotropic random walks and by far efficient than PSO and GA. CSA is an hybridized version of differential evolution (DE), particle swarm optimization (PSO) and simulated annealing (SA). It has fewer parameters and very good convergence characteristics [18][19][20][21][22].…”