A kernel-oriented algorithm for transmission expansion planning

Author

Contreras, Javier ; Wu, Felix F.

Author_Institution

ETS de Ingenieros Industriales, Univ. de Castilla-La Mancha, Spain

Volume

15

Issue

4

fYear

2000

fDate

11/1/2000 12:00:00 AM

Firstpage

1434

Lastpage

1440

Abstract

With deregulation sweeping all over electrical systems around the world, transmission planning has undergone dramatic changes during this decade. Centralized cost allocation methods have become obsolete and new procedures are needed to deal with intelligent and self-sufficient players. In this paper, the authors study the allocation of transmission costs in a decentralized manner. For this purpose, they have developed a multi-agent system that is based on a well known cooperative game theory procedure, the kernel. Using their approach, the agents are able to form kernel-stable coalitions and the cost allocation procedure is performed at every step of the kernel algorithm. A six bus example and an IEEE 24 bus case illustrate their model

Keywords

costing; game theory; multi-agent systems; power system analysis computing; power transmission economics; power transmission planning; transmission network calculations; IEEE 24 bus; computer simulation; cooperative game theory; deregulation; kernel-oriented algorithm; kernel-stable coalitions; multi-agent system; transmission costs allocation; transmission expansion planning; Artificial neural networks; Costs; Economies of scale; Game theory; Genetic algorithms; Kernel; Multiagent systems; Pricing; Simulated annealing; Transmission line theory;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.898124

Filename

898124