Cost Allocation for Transmission Investment using Agent-Based Game Theory

Jakapun Mepokee
David Lee Enke, Missouri University of Science and Technology
Badrul H. Chowdhury, Missouri University of Science and Technology

This document has been relocated to http://scholarsmine.mst.edu/engman_syseng_facwork/209

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Abstract

Due to electrical power restructuring, a dramatic change has been made to the generation and transmission sectors of the power industry. Rules and legislation are continuously changing. To promote more competition, transmission has to be expanded or upgraded to remove congestion and market power. The cost allocation of new investment in transmission has to be recalculated. The socialization methods of the past have been shown to be unfair to some market and network participants. The decentralization of cost allocation must be considered. The proposed paper provides a comparison between traditional cost allocation methods and a new cost allocation method based on agent-based game theory. A multigenerator/bus system will be used to compare the cost allocation methods.