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Reseach Article

Nash Equilibrium in Competitive Electricity Market Considering Congestion

by Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 19
Year of Publication: 2014
Authors: Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh
10.5120/16472-6216

Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh . Nash Equilibrium in Competitive Electricity Market Considering Congestion. International Journal of Computer Applications. 93, 19 ( May 2014), 41-46. DOI=10.5120/16472-6216

@article{ 10.5120/16472-6216,
author = { Seyed Mohammad Hossein Nabavi, Somayeh Hajforoosh },
title = { Nash Equilibrium in Competitive Electricity Market Considering Congestion },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 19 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number19/16472-6216/ },
doi = { 10.5120/16472-6216 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:18.406846+05:30
%A Seyed Mohammad Hossein Nabavi
%A Somayeh Hajforoosh
%T Nash Equilibrium in Competitive Electricity Market Considering Congestion
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 19
%P 41-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pricing has turned into a highly significant matter for suppliers and their customers since deregulation has been realized in the electrical industry and many countries have revised the structure of their electrical energy market by defining different competition levels in generation, transmission and distribution. In the current paper, a proposed algorithm based on games theory has been used for analyzing economic behavior of generators for pricing in an instantaneous electrical energy market. This algorithm is then applied on the studied system in two states without considering congestion, and considering congestion. Effect of congestion on players’ pricing strategy is discussed and emergence of market power is also demonstrated. The 9-bus IEEE system is used for illustrating features of the respective algorithm

References
  1. Y. B. Zhang, X. J. Luo, "Constrained Competitive Cournot Equilibrium with Incomplete Information in Electricity Market", IEEE Transaction on Power System, Vol. 16, No. 2, May 2007.
  2. Kulasekera, A. L. Gopura, R. A. R. C. ; Hemapala, K. T. M. U. ; Perera, N. , "A review on multi-agent systems in microgrid applications", ISGT India 2011, IEEE, pp 173 - 177.
  3. Aung, H. N. ; Khambadkone, A. M. ; Srinivasan, D. ; Logenthiran, T. , " Agent-based intelligent control for real-time operation of a microgrid", PEDES India, 2010, IEEE, pp 1-6.
  4. Niannian Cai ; Mitra, J. , " A decentralized control architecture for a microgrid with power electronic interfaces ", NAPS, 2010, IEEE, pp 1-8.
  5. Zhou, H. J. ; Cao, J. Z. ; Guo, C. X. ; Qin, J. , "The architecture of intelligent distribution network based on MAS-SOA ", Power and Energy Society General Meeting, 2010, IEEE, IEEE, pp 1-6.
  6. Busoniu, Lucian, Babuska, Robert and Schutter, Bart De. , "A Comprehensive Survey of Multiagent Reinforcement Learning. ", IEEE Transaction on Systems, Man, and Cybernetics,Part C:Applications and Reviews, Vol. 38, No. 2,, pp. 156-172, 2008.
  7. Lucian Busoniu, Robert Babuska, and Bart De Schutter, "A Comprehensive Survey of Multiagent Reinforcement Learning," IEEE Transaction on Systems, Man, and Cybernetics,Part C: Applications and Reviews, Vol. 38, No. 2, pp. 156-172, 2008.
  8. Rahimiyan, M. and Rajabi Mashhadi, H. , "Supplier's optimal bidding strategy in electricity pay-as-bid auction: Comparison of the Q-learning and a model based approach", Electric Power Systems Research 78 (2008), pp. 165–175, 2008.
  9. Rahimiyan, M. and Rajabi Mashhadi, H. , "An Adaptive Q-Learning Algorithm Developed for Agent-Based Computational Modeling of Electricity Market", IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, Issue 99, pp. 1-10, 2010.
  10. S. M. H Nabavi, N. Hosseinipoor, and S. Hajforoosh; "Social Welfare Maximization by Optimal Locating and Sizing of TCSC for Congestion Management in Deregulated Power Markets", International Journal of Computer Applications 6(6):16–20, September 2010.
  11. S. M. H. Nabavi, K. Khafafi, A. Sakhavati and S. Nahi, Optimal Locating and Sizing of SSSC using Genetic Algorithm in Deregulated Power Market. International Journal of Computer Applications 22(4):37–41, May 2011.
  12. S. M. H Nabavi, and S. Hajforoosh; "Exploration and Exploitation Tradeoff using Fuzzy Reinforcement Learning", International Journal of Computer Applications 59(5):26-31, December 2012.
  13. SMH Nabavi, S Hajforoosh, S Hajforosh, A Karimi, "Reactive Power Cost Allocation in Re-Structured Electric Power Environment", International Review on Modelling & Simulations 3, 2010.
  14. N Hosseinipoor, SMH Nabavi, "Optimal locating and sizing of TCSC using genetic algorithm for congestion management in deregualted power markets", Environment and Electrical Engineering (EEEIC), 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Pricing Nash Equilibrium Optimal Load Distribution Games Theory