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Knowledge-based genetic algorithm for unit commitment

Aldridge, C.J. and McKee, S. and McDonald, J.R. and Galloway, S.J. and Dahal, K.P. and Bradley, M.E. and Macqueen, J.F. (2001) Knowledge-based genetic algorithm for unit commitment. In: IEE Proceedings: Generation, Transmission and Distribution. IEEE, pp. 146-152.

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Abstract

A genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the unit commitment economic dispatch problem. The GA evolves a population of binary strings which represent commitment schedules. The initial population of schedules is chosen using a method based on elicited scheduling knowledge. A fast rule-based dispatch method is then used to evaluate candidate solutions. The knowledge-based genetic algorithm is applied to a test system of ten thermal units over 24-hour time intervals, including minimum on/off times and ramp rates, and achieves lower cost solutions than Lagrangian relaxation in comparable computational time.