A Modified Imperialist Competitive Algorithm for Solving Profit Based Unit Commitment Problem

سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,017

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شناسه ملی سند علمی:

EPGC05_116

تاریخ نمایه سازی: 14 مهر 1392

چکیده مقاله:

Deregulation of electric power market has changed traditional infrastructures of generation, transmission and distribution, drastically. In case of power generation, the classical unit ommitment that has been aimed to minimize operation costs, once; should be implemented by Generation companies (GENCOs) aiming at maximizing their own profit, now. In a novel price-based unit commitment (PBUC), constraint related to supplying the forecasted electricity demand is relaxed; while, it was a hard constraint in a cost-based unit commitment. In a restructured power market, system operators can utilize the PBUC to develop a successful bidding for participant generators. In such an environment, the signal that would enforce a unit to be in ON or OFF status would be the energy price, including the fuel purchase price and the energy sale. In this paper, a hybrid Imperialistic Competitive Algorithm (ICA) – Diversity Guided Evolutionary Algorithm (DGEA) approach is proposed to implement the PBUC problem. The proposed method is capable of aiding GENCOs to provide an optimal scheduling in order to sell some adequate amount of energy in the power market and subsequently, to reach maximum profit. The effectiveness of presented approach to overcome the complexity of non-convex optimization problem of PBUC is validated using a test system available in the literature.

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نویسندگان

M Jabbari ghadi

Department of Electrical Engineering, Faculty of Engineering,University of Guilan, Rasht, Iran

A Baghramian,

Department of Electrical Engineering, Faculty of Engineering,University of Guilan, Rasht, Iran

H. Mojallali

Department of Electrical Engineering, Faculty of Engineering,University of Guilan, Rasht, Iran

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  • S Virmani, C. Adrian, K. Imhof, and S. Mukherjee, _ ...
  • _ _ branch-and-bound algorithm for unit commitment, " IEEE Trans. ...
  • J. A. Muckstadt and R. C. Wilson, _ application of ...
  • _ _ _ Problem by the Method of Unit Periods, ...
  • _ " _ by Simulated Annealing, " IEEE Trans. Power ...
  • _ _ _ hybrid particle SWarm optimization, " IEEE Trans. ...
  • M. Moghimi Hadji and B. Vahidi, _ solution to the ...
  • _ _ _ Maintenance Scheduling in Restructured Power Systems. Norwell, ...
  • M. Shahidehpour, H. Yamin, and Z. Li, Market Operations in ...
  • T. Li and M. Shahidehpour, "Price-Based Unit Commitment: A Case ...
  • W. Ongsakul and N. Petcharaks, "Unit commitment by enhanced adaptive ...
  • C. W. Richter, Jr and G. B. Sheble, "A profit-based ...
  • C. Christopher Columbus, K. Chandrasekarar and Sishaj P. Simon, "Nodal ...
  • C. Christopher Columbus and Sishaj P. Simon, :Profit ...
  • _ commitment by a tabu- search-based hybrid- optimisation technique, " ...
  • نمایش کامل مراجع