An evolutionary generation scheduling in an open electricity market

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