Coalition formation in transmission expansion planning

Summary form only given as follows. The study of a decentralized coalition formation scheme in a specific power systems transmission expansion scenario is the purpose of this paper. We define first who are the agents in the expansion game and provide a decentralized coalition scheme based on Bilateral Shapley values. Finally, we allocate the total costs of expansion amongst the agents, based on the coalition history, and we compare our method with a centralized scheme.

[1]  A. Santos,et al.  Interactive Transmission Network Planning Using a Least-Effort Criterion , 1982, IEEE Transactions on Power Apparatus and Systems.

[2]  Sarit Kraus,et al.  A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results , 1996, AAAI/IAAI, Vol. 1.

[3]  Matthias Klusch,et al.  Coalition Formation Among Rational Information Agents , 1996, MAAMAW.

[4]  I. Iyoda,et al.  Allocation of fixed transmission cost to wheeling transactions by cooperative game theory , 1995 .

[5]  Ahmed H. El-Abiad,et al.  Transmission Planning Using Discrete Dynamic Optimizing , 1973 .

[6]  A. Meliopoulos,et al.  Use of Sensitivity Analysis in Automated Transmission Planning , 1982, IEEE Transactions on Power Apparatus and Systems.

[7]  D. Gately.  Sharing the Gains from Regional Cooperation: A Game Theoretic Application to Planning Investment in Electric Power , 1974 .

[8]  D. Chattopadhyay.  An energy brokerage system with emission trading and allocation of cost savings , 1995 .

[9]  S. Binato,et al.  Large scale transmission network planning using optimization and heuristic techniques , 1995 .

[10]  Javier Contreras,et al.  A cooperative game theory approach to transmission planning in power systems , 1997 .

[11]  L. L. Garver,et al.  Transmission Network Estimation Using Linear Programming , 1970 .

[12]  R. Yokoyama,et al.  Transmission expansion planning using neuro-computing hybridized with genetic algorithm , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.