DOI QR코드

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Improved Pre-prepared Power Demand Table and Muller's Method to Solve the Profit Based Unit Commitment Problem

  • Chandram, K. (Department of Electrical Engineering, National Institute of Technology) ;
  • Subrahmanyam, N. (Department of Electrical Engineering, National Institute of Technology) ;
  • Sydulu, M. (Department of Electrical Engineering, National Institute of Technology)
  • 발행 : 2009.06.30

초록

This paper presents the Improved Pre-prepared Power Demand (IPPD) table and Muller's method as a means of solving the Profit Based Unit Commitment (PBUC) problem. In a deregulated environment, generation companies (GENCOs) schedule their generators to maximize profits rather than to satisfy power demand. The PBUC problem is solved by the proposed approach in two stages. Initially, information concerning committed units is obtained by the IPPD table and then the subprob-lem of Economic Dispatch (ED) is solved using Muller's method. The proposed approach has been tested on a power system with 3 and 10 generating units. Simulation results of the proposed approach have been compared with existing methods and also with traditional unit commitment. It is observed from the simulation results that the proposed algorithm provides maximum profit with less computational time compared to existing methods.

키워드

참고문헌

  1. Narayana Prasad Padhy, 'Unit Commitment-A Bibliographical Survey', IEEE Trans on Power Systems, vol. 19, no. 2, May 2004
  2. Attaviriyanupap, P., Kita, H., Tanaka, E., and Hasegawa, J., 'A hybrid LR-EP for solving new profit-based UC problem under competitive environment', IEEE Transactions on power systems, vol. 18, no. 1, Feb. 2003, pp: 229: 237 https://doi.org/10.1109/TPWRS.2002.807080
  3. Li, T., and Shahidehpour, M., 'Price-based unit commitment: A case of lagrangian relaxation versus mixed integer programming', IEEE Transaction on Power System, vol. 20, no. 4, November 2005, pp: 2015- 2025 https://doi.org/10.1109/TPWRS.2005.857391
  4. Pokharel, B.K., Shrestha, G.B., Lie, T.T., and Fleten, S. E., 'Price basεd unit commitment for Gencos in deregulated markets', Proceeding of the IEEE Power Engineering Society General Meeting, 12-16 June, 2005, pp. 2159 -2164
  5. Xiaohui, Y., Yanbin, Y., Cheng, W., and Xiaopan, Z., 'An improved PSO approach for profit-based umt commltmεnt in electricity market', IEEEIPES Trans- mission and Distribution conference & Exhibition: Asia and Pacific, Dalian, China, 2005
  6. Richter, Jr., Charles W., and Sheble, Gerald B., 'A Profit-Based Unit Commitment GA for the Competitive Environment', IEEE Transactions on Power Systems, vol. 15, no. 2, May, 2000, pp. 715- 721 https://doi.org/10.1109/59.867164
  7. Victoire, T.A.A., Jeyakumar, A.E.: 'Unit commitment by a tabu-search-based hybrid-optirnisation technique', IEE Proc.-Gener. Transm. Distrib., vol. 152, no. 4, July 2005 pp 563 https://doi.org/10.1049/ip-gtd:20045190
  8. Shahidehpour M., Hatim Yamin and Zuyi Li, 'Market Operations in Electric Power Systems: Forεcasting, Scheduling, and Risk Managemεnt' The Institute of Electrical and Electronics Engineers, Inc., New York
  9. Muller, D.E., 'A method of solving algebraic equations using an automatic computer, Math Tables and Other Aids to Computation 10', 208-215, (1956)
  10. Costabile, F., Gualtieri, M.I., and Luceri, R., 'A modification of Muller’s method', CALCOLO 43, 39 -50 (2006) springer verilog https://doi.org/10.1007/s10092-006-0113-9
  11. Dieu, V.N., and Ongsakul, W., 'Ramp rate constrained Unit Commitment by Improved priority list and augmented lagrange Hopfield network', Electric Power Systems Research, volume 78, no. 3, March 2008, Page 291-301 https://doi.org/10.1016/j.epsr.2007.02.011

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