Game Theory Approch on The Decision Making Process for Defining Obtainable Prices At Generator Side in A Deregulated Environment
DOI:
https://doi.org/10.26438/ijcse/v6i12.5456Keywords:
Deregulated system, Pool coordinators Formatting, payoff matrix, UI rate, marginal costAbstract
For a Deregulated system we assume all Pool participants use a price curve, rather than a cost curve, to exchange the power. Participants think about market prices for which they can maximize their profit, while Pool coordinators try to maximize the system-wide benefits. Using constrained economic dispatch, Pool benefits will be maximized when all participants trade THE power at marginal cost, as participants try to maximize their own benefits, they may either decrease their bids in order to retail more power or increase the price in order to make more profit.
References
[1] Bhanu Bhushan, (Power Grid Corporation of India Limited) and Anjan Roy, and P. Pentayya (Western Regional Load Despatch Centre), “The Indian Medicine “ IEEE PES General Meet, 2004
[2] Bhanu Bhushan, (CERC, India), “The Indian Medicine” CIGRE 2005, 21, rue d’Artois, F-75008, PARIS.
[3] Bhanu Bhushan “ABC of ABT - A Primer On Availability Tariff ” June 2005
[4] Sushilkumar Soonee, S.Ramesh Narasimhan and Vivek Pandey, “Significance of Unscheduled Interchange Mechanism in the Indian Electricity Supply Industry” ICPSODR-2006, Department of Electrical Engineering, ITBHU.
[5] Ashkan Kian and Ali Keyhani, “Stochastic Price Modelling of Electricity in Deregulated Energy Market” IEEE, 34th Hawaii International Conference on System Science-2001 - 0-7695-0981-9/01 2001
[6] Javier Contreras and Tomás Gómez,” Auction Design in Day-Ahead Electricity Markets (Republished) “IEEE Transactions, Power Systems, Vol. 16,pp. 88-96, August 2001.
[7] Claudia P. Rodriguez and George J. Anders , “Bidding Strategy Design for Different Types of Electric Power Market Participants” IEEE Trans, Power Systems, Vol. 19, pp.964-971, May 2004
[8] N.Vaitheeswaran and R.Balasubramanian, “Stochastic Model for Optimal Declaration of Day Ahead Station Availability in Power Pools in India,” IEEE Trans, power system, vol.20, pp.701-708, June 2006.
[9] R.W.Ferrero, S.M.Shahidehpour and V.C.Ramesh” Transaction Analysis In Deregulated Power Systems Using Game Theory”. IEEE Transactions on Power Systems, Vol. 12, No. 3, August 1997.
[10] Vasileios P. Gountis and Anastasios G. Bakirtzis, “Bidding Strategies for Electricity Producers in a Competitive Electricity Marketplace” IEEE Transactions On Power Systems, Vol. 19, pp.356-365, February 2004.
[11] R.M.Holmukbea, Ms.Yogini Pawar", R.S.DesaiC, T.S.Hasarmanid “Availability Based Tariff and Its Impact on Different Industry Players-A, Review” Pune, India.
[12] A Game Theory Approach to Demand Side Management in Smart Grids Nadine Hajj and Mariette Awad American University of Beirut, Beirut, Lebanon {njh05,mariette.awad}@aub.edu.lb Springer International Publishing Switzerland 2015 D. Filev et al. (eds.), Intelligent Systems’2014, Advances in Intelligent Systems and Computing 323, DOI: 10.1007/978-3-319-11310-4_70
[13] TRANSACTION ANALYSIS IN DEREGULATED POWER SYSTEMS USING GAME THEORY IEEE Transactions on Power Systems, Vol. 12, No. 3, August 1997 by R.W. Ferrero * & S.M. Shahidehpour & V.C. Ramesh
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
