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Energies 2015, 8(12), 13879-13893; doi:10.3390/en81212401

Power Transmission Scheduling for Generators in a Deregulated Environment Based on a Game-Theoretic Approach

1
School of Electrical Engineering, Southeast University, Nanjing 210096, China
2
Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Academic Editor: David Wood
Received: 10 September 2015 / Revised: 16 November 2015 / Accepted: 2 December 2015 / Published: 5 December 2015
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Abstract

In a deregulated environment of the power market, in order to lower their energy price and guarantee the stability of the power network, appropriate transmission lines have to be considered for electricity generators to sell their energy to the end users. This paper proposes a game-theoretic power transmission scheduling for multiple generators to lower their wheeling cost. Based on the embedded cost method, a wheeling cost model consisting of congestion cost, cost of losses and cost of transmission capacity is presented. By assuming each generator behaves in a selfish and rational way, the competition among the multiple generators is formulated as a non-cooperative game, where the players are the generators and the strategies are their daily schedules of power transmission. We will prove that there exists at least one pure-strategy Nash equilibrium of the formulated power transmission game. Moreover, a distributed algorithm will be provided to realize the optimization in terms of minimizing the wheeling cost. Finally, simulations were performed and discussed to verify the feasibility and effectiveness of the proposed non-cooperative game approach for the generators in a deregulated environment. View Full-Text
Keywords: power transmission scheduling; non-cooperative game; wheeling cost; congestion cost power transmission scheduling; non-cooperative game; wheeling cost; congestion cost
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gao, B.; Ma, T.; Tang, Y. Power Transmission Scheduling for Generators in a Deregulated Environment Based on a Game-Theoretic Approach. Energies 2015, 8, 13879-13893.

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