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가격 불확실성을 고려한 발전사업자 기동정지계획
Unit Commitment of a GENCO Under the Competitive Environment Considering the Uncertainty of Market Prices

정정원   (경성대학교 전기전자컴퓨터공학부UU0000115  );
  • 초록

    In recent decades, many countries have introduced competition in the electricity industry. Now, unit commitment becomes not a problem to be solved by a monopoly company but the one to be tackled by each generation company(GENCO). Its aim has been altered from the global cost minimization to the each GENCO's profit maximization. In this paper, the author proposes the scheme of unit commitment of a GENCO to maximize profit considering the uncertainty of market clearing price. The type of the assumed market is a uniform price market. A genetic algorithm is used for the maximization of the profit.


  • 주제어

    unit commitment .   electricity market .   price uncertainty .   genetic algorithm.  

  • 참고문헌 (14)

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    2. T. Yokota, M. Gen, K. Ida, T. Taguchi, 'Optimal design of system reliability by an approved genetic algorithm,' Trans. of institute of electronics, Information and Communication Engineers, Vol. J78A, No.6, 1995 
    3. Z. Michalewicz, 'A survey of constraint handling techniques in evolutionary computation method,' Evolutionary programming IV, 1995 
    4. J. Joines, C. Houck, 'On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GAs,' Proceedings of the first IEEE conference on evolutionary computations, 1994 
    5. A.C. Homaifar, C. Qi, and S. Lai, 'Constrained optimization via genetic algorithms,' Simulation, Vol. 62, No.4, 1994 
    6. H.T. Yang, P.C. Yang, C.L. Huang, 'Applications of the genetic algorithm to the unit commitment problem in power generation industry,' International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE International Conference on , Volume: 1 , 20-24 Mar 1995 
    7. D.E. Goldberg, Genetic algorithms in search, optimization, and machine learning, Addison-Wesley Publishing Company, Inc., 1989 
    8. H. T. Yang, P. C. Yang, C. L. Huang, 'A parallel genetic algorithm approach to solving the unit commitment problem: implementation on the transputer networks,' IEEE Trans. on Power Systems, Vol. 12, No.2, 1997 
    9. P.L. Joskow, Deregulation and regulatory reform in the U.S. electric power sector, AEI Conference on Deregulation in Network Industries, Dec. 1999 
    10. 한국전력거래소, 2002년 운용실적, www.kpx.or.kr 
    11. W. Xing, F. Wu, 'Genetic algorithm based unit commitment with energy contracts,' Electrical Power and Energy Systems 24, 2002 
    12. A. Rudolf, R. Bayrleithner, 'A genetic algorithm for solving the unit commitment problem of a hydro thermal power system,' IEEE Trans. on Power System, Vol. 14, No. 4, 1999 
    13. K.S. Swarup, S. Yamashiro, 'Unit commitment solution methodology using genetic algorithm,' IEEE Trans. on Power System, Vol. 17, No. 1, 2002 
    14. C.W. Richter and G.B. Sheble, 'A profit-based unit commitment GA for the competitive environment,' IEEE Trans. on Power Systems, Vol. 15, No. 2, May 2000 

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    1. 2003 "경사 투영법을 이용한 발전사업자의 경제급전" 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. A / A, 전력기술부문 52 (9): 550~556    
    2. 2004 "선형계획법을 이용한 양방향입찰시장에서의 제약급전계획 연구" 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. A / A, 전력기술부문 53 (10): 573~580    

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