%0 Journal Article
%T Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm
%J International Journal of Smart Electrical Engineering
%I Islamic Azad University,Central Tehran Branch
%Z 2251-9246
%A Lotfi, Hossein
%A Dadpour, Ali
%A Samadi, Mahdi
%D 2017
%\ 06/06/2017
%V 06
%N 01
%P 35-41
%! Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm
%K Improved particle swarm optimization
%K Restructuring
%K Competitive Power Market
%K Economic Dispatch Planning
%K Generation Planning
%R IJSEE-1705-1054
%X Generally the generation units in the traditional structure of the electricity industry try to minimize their costs. However, in a deregulated environment, generation units are looking to maximize their profits in a competitive power market. Optimum generation planning in such structure is urgent. This paper presents a new method of solving economic dispatch in the competitive electricity market with the aim of maximizing the total contribution profit of power generation. In this regard, with a combination of two intelligent optimizations, a new efficient algorithm which called improved particle swarm optimization algorithm is suggested. The simulation of the new approach and conventional PSO algorithm were performed on two case study systems, 10-units and 15-units. According to the results, the suggested method not only resolves the convergence problem, but it also makes more efficient response.
%U http://ijsee.iauctb.ac.ir/article_531146_fdc59496e1d62f8dfd414151131ce780.pdf