Bidding strategy of generation companies using PSO combined with SA method in the pay as bid markets

International Journal of Electrical Power and Energy Systems

Volumn 33, Issue 7, 2011, Pages 1272-1278

  Soleymani, S ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Energy market; Nash equilibrium point; Optimal bidding strategy; Particle swarm; Pay as bid mechanism; Simulated annealing

Indexed keywords

ENERGY MARKETS; NASH EQUILIBRIUM POINT; OPTIMAL BIDDING STRATEGY; PARTICLE SWARM; PAY AS BID;

ARTIFICIAL INTELLIGENCE; COMMERCE; GAME THEORY; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MATHEMATICAL TECHNIQUES; PARTICLE SWARM OPTIMIZATION (PSO);

SIMULATED ANNEALING;

EID: 79960900407     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2011.05.003     Document Type: Article

References (16)

1. Blake, Michael. Game theory and electricity markets. Drayton analytics research paper series; February 2003.
2. M. Shahidehpour, H. Yamin, and Z. Li Market operation in electric power systems 2002 Wiley New York
3. R. Ferrero, M. Shahidehpour, and V. Ramesh Transmission analysis in deregulated power systems IEEE Trans Power Syst 12 Aug. 1997 1340 1347 (Pubitemid 127771512)
4. X. Bai, M. Shahidehpour, V. Ramesh, and E. Yu Transmission analysis by Nash game method IEEE Trans Power Syst 12 Aug 1997 1046 1052 (Pubitemid 127771477)
5. R.W. Ferro, J.F. Rivera, and S.M. Shahidehpour Application Of games with incomplete information for pricing electricity in deregulated power pools IEEE Trans Power Syst 13 1 1998 [February]
6. Weber J, Overbye T. A two-level optimization problem for analysis of market bidding strategies. In: IEEE PES summer meeting, vol. 2. p. 682-87 [July 1999].
7. H.H. Balci, and J.F. Valenzuela Scheduling electric power generators using particle swarm optimization combined with the lagrangian relaxation method Int J Appl Math Comput Sci 14 3 2004 411 421
8. Tapas K. Das, Patricio Rocha, and Cihan Babayigit A matrix game model for analyzing FTR bidding strategies in deregulated electric power markets Int J Electr Power Energy Syst 32 7 2010 760 768 [September]
9. Ettore Bompard, Wene Lu, Roberto Napoli, and Xiuchen Jiang A supply function model for representing the strategic bidding of the producers in constrained electricity markets Int J Electr Power Energy Syst 32 6 2010 678 687
10. Mohammad E. Elhawary Electrical power systems 1995 IEEE Press Power Systems Engineering Series
11. S. Soleymani, A.M. Ranjbar, and A.R. Shirani Strategic bidding of generating units in competitive electricity market with considering their reliability Int J Electr Power Energy Syst 30 3 2008
12. R. Eberhart, and Yuhui Shi Particle swarm optimization development, application and resources IEEE Cong Evolut Comput 1 2001 81 86 [27-30 May 2001] (Pubitemid 32806322)
13. Shi Y, Eberhart R. A modified particle swarm optimizer. In: Proceeding of the IEEE word congress on computational intelligence; May 1998. p. 69-73.
14. http://www.phy.ornl.gov/csep/CSEP/MO/NODE28.html.
15. www.pserc.cornell.edu/matpower.
16. GAMS Release 2.50. A user's guide. GAMS Development Corporation; 1999. .