An Evolutionary Generation Scheduling in an Open Electricity Market

by

Dahal, K., P., Siewierski, T., A., Galloway, S., J., Burt, G., M. and McDonald, J., R.

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Info: Proceedings of the 2004 IEEE Congress on Evolutionary Computation (Conference proceedings), 2004, p. 1135-1142
Keywords:Evolutionary Scheduling
Abstract:
In recent years researchers have focused on new approaches to solve non- classical generation scheduling problems in the deregulated and decentralized electricity market place. In this paper a GA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time.
Notes:
CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.
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BibTex:
@InProceedings{Dahal:2004:AEGSiaOEM,
  title     = {An Evolutionary Generation Scheduling in an Open Electricity Market},
  author    = {Keshav P. Dahal and Tomasz A. Siewierski and Stuart J. Galloway and Graeme M. Burt and Jim R. McDonald},
  pages     = {1135--1142},
  booktitle = {Proceedings of the 2004 IEEE Congress on Evolutionary Computation},
  year      = {2004},
  publisher = {IEEE Press},
  month     = {20-23 June},
  address   = {Portland, Oregon},
  ISBN      = {0-7803-8515-2},
  keywords  = {Evolutionary Scheduling},
  abstract  = {
In recent years researchers have focused on new approaches to solve non-
classical generation scheduling problems in the deregulated and decentralized
electricity market place. In this paper a GA based approach has been developed
for a system operator to schedule generation in a market akin to that
operating in England and Wales. A scheduling problem has been formulated and
solved using available trading information at the time of dispatch. The
solution is updated after new information is obtained in a rolling fashion.
The approach is tested for two IEEE network based problems, and achieves
comparable results with a Branch and Bound technique in reasonable CPU time.
},
  notes     = {CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.},
}