2006 IEEE Power Engineering Society General Meeting 2006
DOI: 10.1109/pes.2006.1709212
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Reference transmission network: a game theory approach

Abstract: Abstract-The transmission network plays a key role in an oligopolistic electricity market. In fact, the capacity of a transmission network determines the degree to which the generators in different locations compete with others and could also greatly influence the strategic behaviors of market participants. In such an oligopolistic framework, different agents may have distinct and sometimes opposite interests in urging or hindering certain transmission expansions. Therefore, the regulatory authority, starting … Show more

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Cited by 5 publications
(4 citation statements)
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“…There is a key assumption in game theory that all the players behave rationally. Therefore, each player earns the profit from the game [10].…”
Section: Cooperative Game Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…There is a key assumption in game theory that all the players behave rationally. Therefore, each player earns the profit from the game [10].…”
Section: Cooperative Game Theorymentioning
confidence: 99%
“…In this game, different generators and demands are represented as players. Therefore, different transmission access problems such as transmission usage and usage cost allocation, transmission loss, and loss cost allocation can be optimized with the help of cooperative game theory because all the participants utilized the common network [10].…”
Section: Cooperative Game Theory Application In Smart Energy Logisticmentioning
confidence: 99%
“…That is the network with minimum amount of total operational costs and transmission investment costs (or long‐run social welfare). Moreover, defines the optimal transmission expansion plan as RTN. Nevertheless, they all neither evaluate the current network optimality by using the resulted RTN nor determine the rational transmission revenue, on the basis of this benchmark.…”
Section: Introductionmentioning
confidence: 99%
“…It determines the costs and benefits of the agents in function of their strategies. The major applications have centered in cooperative or coalition games, and in a lesser degree, on non-cooperative or strategic games [5][6][7]. The most used methods have been the Shapley value or the bilateral Shapley value -BVS- [8][9][10][11][12][13], Kernel [14,15] and nucleolus [16][17][18].…”
Section: Introductionmentioning
confidence: 99%