An evolutionary generation scheduling in an open electricity market

Dahal, K. and Siewierski, T. and Galloway, S.J. and Burt, G.M. and McDonald, J.R. (2004) An evolutionary generation scheduling in an open electricity market. In: Congress on Evolutionary Computation (CEC 2004), 2004-06-19 - 2004-06-23. (https://doi.org/10.1109/CEC.2004.1330989)

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Abstract

The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation 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

ORCID iDs

Dahal, K., Siewierski, T., Galloway, S.J. ORCID logoORCID: https://orcid.org/0000-0003-1978-993X, Burt, G.M. ORCID logoORCID: https://orcid.org/0000-0002-0315-5919 and McDonald, J.R. ORCID logoORCID: https://orcid.org/0000-0002-7078-845X;
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