Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70226
Title: Evolving cooperative behavior in a power market
Authors: Srinivasan, D. 
Woo, D.
Rachmawati, L.
Lye, K.W.
Keywords: Cooperative behavior
Evolutionary algorithm
Power market
Issue Date: 2006
Source: Srinivasan, D.,Woo, D.,Rachmawati, L.,Lye, K.W. (2006). Evolving cooperative behavior in a power market. GECCO 2006 - Genetic and Evolutionary Computation Conference 2 : 1599-1600. ScholarBank@NUS Repository.
Abstract: This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved through the collaboration of the buyer with other buyers defined by the different group memberships. The paper explores how buyers can lower their costs by using the algorithm that evolves their group sizes and memberships. The algorithm interfaces with PowerWorld Simulator to include in the technical aspect of a power system network, particularly the effects of the network constraints on the power flow. Simulation tests on an IEEE 14-bus transmission network are conducted and power buyer strategies are observed and analyzed.
Source Title: GECCO 2006 - Genetic and Evolutionary Computation Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/70226
ISBN: 1595931864
Appears in Collections:Staff Publications

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