A New Heuristic Method for Solving Unit Commitment Problem in Competitive Environment
M. Jabbari Ghadi1, A. Baghramian2
1M. Jabbari ghadi, Department of Electrical and Computer Engineering, University of Guilan, faculty of Engineering, Rasht, Iran.
2A. Baghramian, Department of Electrical and Computer Engineering, University of Guilan, faculty of Engineering, Rasht, Iran.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 83-88 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1106112612/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In a restructured power market, traditional scheduling of generating units needs modification. The classical unit commitment problem aims at minimizing the operation costs by satisfying the forecasted electricity load. However, under new structure, Generation companies (GENCOs) schedule their generators with an objective to maximize their own profit by relaxation of the demand fulfillment constraint and without any regard for system social profit, to match the competitive market. A Unit Commitment algorithm with capability of profit maximization plays a significant role in successful development bidding strategies of a competitive generator. In such an environment, power price turns into an important factor in decision process. In this paper the authors utilized a new heuristic technique called Imperialistic Competitive Algorithm (ICA) to exert Profit Based Unit Commitment (PBUC) problem. In fact, the presented approach assists GENCOs to make a decision, how to schedule generators in order to gain the maximum profit by selling adequate amounts of power in power market. The effectiveness of the proposed method to solve generation scheduling optimization problem in a day-ahead deregulated electricity market is validated on 10 generating unit systems available in the literature. Comparison of results obtained from simulation verifies the ability of proposed method.
Keywords: Deregulation, Electricity Market, Profit Based Unit Commitment, Imperialistic Competitive Algorithm, Competitive Environment.