COMPETITIVE GENERATION EXPANSION PLANNING USING IMPERIALIST COMPETITIVE ALGORITHM

سال انتشار: 1392
محل انتشار: همایش ملی پژوهش های کاربردی در علوم و مهندسی
کد COI اختصاصی: TIAU01_824
زبان مقاله: انگلیسی
تعداد مشاهده: 834

نویسندگان

Electronic Engineering Department, Islamic Azad University, Saveh Branch, Saveh, Iran

چکیده

Deregulation in the electricity industry leads to new challenges in Generation Expansion Planning (GEP), due to the competition among the Generation Companies (GENCOs)and opposing objectives of GENCOs and policy makers. This paper presents the GEP problem in competitive environment and applies the Imperialist Competitive Algorithm (ICA) to solve this problem. The objective of each GENCO is maximization of its profit while the regulatory body isconcerned with market and system stabilization trough providing the appropriate signals to investors to avoid the over/under investment. Other objectives of the regulatory body are optimization of generation capacity, maintaining system and national security andmaximization of the social welfare. In order to model the competition between the GENCOs and opposing objectives in this problem, the GEP problem is modeled as a Cournot game with Nash equilibrium. The GEP problem is solved iteratively by self-optimizing of each GENCO using ICAand satisfying the regulatory body in Cournot model. The proposed algorithm is tested on asimple case and the results are compared with those drawn in previous works. The obtained results demonstrate the effectiveness of the proposed ICA-based method

کلیدواژه ها

Cournot games, Generation Expansion Planning (GEP), Imperialist Competitive Algorithm (ICA)

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