Paper Info
Title
Evolving cooperative behavior in a power market
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.
Year
DOI
Venue
2006
10.1145/1143997.1144260
GECCO
Keywords
Field
DocType
cooperative behavior,power buyer,power flow,cooperative strategy,algorithm interface,ieee 14-bus transmission network,evolutionary algorithm,network constraint,power system network,power buyer strategy,electrical power market,group size,electric power,power system
Electric power,Mathematical optimization,Transmission network,Evolutionary algorithm,Power flow,Computer science,Cooperative behavior,Electric power system,Power market
Conference
ISBN
Citations 
PageRank 
1-59593-186-4
1
0.37
References 
Authors
1
4
Name
Order
Citations
PageRank
D. Srinivasan11091106.99
Dakun Woo210.70
Lily Rachmawati31087.46
Kong Wei Lye4342.91