Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm

International Journal of Smart Electrical Engineering

مقاله 5، دوره 06، شماره 01، خرداد 2017، صفحه 35-41   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): IJSEE-1705-1054

نویسندگان

Hossein Lotfi^{* 1}؛ Ali Dadpour²؛ Mahdi Samadi³

¹Department of Electrical Engineering, Islamic Azad University, Neyshabour, Iran

²Department of Electrical Engineering, Islamic Azad University, Bojnourd, Iran

³Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran

چکیده

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.

کلیدواژه‌ها

Improved particle swarm optimization؛ Restructuring؛ Competitive Power Market؛ Economic Dispatch Planning؛ Generation Planning