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LR- EP Approach for solving Profit Based Unit Commitment Problem with Losses in Deregulated Markets

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Warianty tytułu
PL
Metoda LR-EP rozwiązywania problemu dołączania jednostek generatorów na nieregulowanym rynku energii
Języki publikacji
EN
Abstrakty
EN
In this paper, hybrid models between Lagrange Relaxation (LR) with Evolutionary Programming (EP) are used to solve the profit based unit commitment problem in a deregulated electricity market. In this study losses are included and it can be added to the revenue so that profit can be increased compare to other research work. A modest attempt has been made in this paper presents a simulated case study for the profit based unit commitment problem and demonstrates the effectiveness of the proposed approaches.
PL
W artykule analizuje się procesy decyzyjne kiedy i jaką jednostkę generatora można dołączyć i odłączyć od sieci. Uwzględnia się straty w nieregulowanym rynku energii.
Rocznik
Strony
210--213
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
  • University College of Engineering
  • Anna University –BIT campus
  • Pondicherry Engineering College
Bibliografia
  • [1] A.J.Wood, B.F. Wollenberg, Power Generation Operation and Control, 2nd ed., New York: John Wiley & Sons, Inc., 1996.
  • [2] S. Sen and D.P. Kothari, Optimal thermal generating unit commitment: a review, Electrical Power & Energy Systs, vol. 20, no. 7, pp. 443-451, 1998.
  • [3] Hatim. Y.Yamin, senior Member, IEEE and S.Mohamed Shahidehpour, Fellow IEEE, Risk and Profit in self -Scheduling for GENCOs, IEEE Transaction on Power System, 2001
  • [4] B. Lu and M.shahidehpour, Short term scheduling of combined cycle units, IEEE Transaction on Power System, vol 19, pp. 1616-1625, August 2004.
  • [5] Feng GAO, Student Member , IEEE and Gerald Bushel IEEE lowa state university Ames, IA, USA Economic Dispatch Algorithms for Thermal unit system involving combined cycle units, IEEE Transaction on Power systems,pp.1066-1072,November 2003.
  • [6] Sayeed Salam, Unit Commitment Solution methods, Proceedings of World Academy of Science, Engineering and Technology: volume 26 December 2007.
  • [7] BK Pokharel, GB Shestha, TT Lie and S.E Fleten, Profit Based Unit Commitment In competitive Markets, International Conference on Power System Technology–POWERCON2004; Singapore, pp 21 -24 November 2004
  • [8] K.Tong and S.M.Shahidehpour, Combination of Lagrangian - relaxation an linear - programming approaches for fuelconstrained unit-commitment problems,IEEE Transaction on Power System, pp 1121-1232, 2000.
  • [9] P.Attaviriyanupap, H.Kita, E.Tanakaand J. Hasegawa, A New Profit-Based Unit Commitment Considering Power and Reserve Generating, IEEE Transaction on Power Systems, 2003.
  • [10] P.Attaviriyanupap, H.Kita, E.Tanakaand J. Hasegawa, Member A Hybrid LR-EP for solving Profit-Based Unit Commitment under competitive environment , IEEE Transaction on Power Systems, vol .18,No.1, Feb 2003, 229 – 236.
  • [11] W.Yuan Xia.ohui, Yuan Yanbin, Wang Cheng and Zhang Xiaopan, An Improved PSO Approach for Profit-based Unit Commitment in Electricity Market, IEEE Transaction on Power Systems, May 2005
  • [12] Ei Fan, Xiaohong Guan, Qiaozhu Zhai, A new method for unit commitment with ramping constraints, IEEE Transaction on Power Systems, March 2001.
  • [13] P.Attaviriyanupap, H. Kita, E. Tanaka and J. Hasegawa, Member, IEEE A Hybrid LR–EP for Solving New Profit-Based Competitive Environment, IEEE Transaction on Power Systems, May 2005.
  • [14] P.Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, A hybrid evolutionary programming for solving thermal unit commitment problem, in Proc. 12th Annual Conference Power and Energy Social Electrical Engineering. Japan.
  • [15] W. Richter, Jr. and G. B. Sheble, A profit-based unit commitment GA for the competitive environment, IEEE Transaction on Power Systems, vol. 15, pp 715–721, May 2000.
  • [16] G.B.Shrestha, B.K, Pokharel, T.T.Lie and S.E.Fleten, Management of price uncertainty in short-term generation planning. Generation,Transmission & Distribution, IET. 2(4), pp 491-504, Dec 2008.
  • [17] K.Chnadram , N.Subramaniyan, Improved pre-prepared power demand table with muller method for solving profit based unit commitment , IEEE conference TENCON ,November 2008.
  • [18] Azmi Saleh, Takao Tsuji and Tsutomu Oyama Optimal Bidding Strategies Generation companies in a Day-Ahead Electricity Market with Risk Management Taken into Account, American J. of Engineering and Applied Sciences 2 (1): 8-16, 2009
  • [19] Malahat Peik-Herfeh, H. Seifi , M.K. Sheikh-El-Eslami, Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method, Electrical Power and Energy Systems , vol 44, pp 88-98 , July 2013.
  • [20] Masoud Rashidinejad, Hamid Khorasani, Amir Rashidinejad, Transmission Expansion Planning in Restructured Electricity Industry Using a Hybrid Heuristic Technique, International Review on Modeling and Simulations,Vol. 3. No. 3, pp 290- 298, June 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b52b8afe-100a-4941-856f-9f46e4fb1442
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