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

Bingtuan Gao, Tingting Ma and Yi Tang
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Bingtuan Gao: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Tingting Ma: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Yi Tang: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2015, vol. 8, issue 12, 1-15

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.

Keywords: power transmission scheduling; non-cooperative game; wheeling cost; congestion cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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