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Genetic-based unit commitment algorithm

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2 Author(s)
Maifeld, T.T. ; Dept. of Electr. Eng., Iowa State Univ., Ames, IA, USA ; Sheble, G.B.

This paper presents a new unit commitment scheduling algorithm. The proposed algorithm consist of using a genetic algorithm with domain specific mutation operators. The proposed algorithm can easily accommodate any constraint that can be true costed. Robustness of the proposed algorithm is demonstrated by comparison to a Lagrangian relaxation unit commitment algorithm on three different electric utilities. Results show the proposed algorithm finds good unit commitment schedules in a reasonable amount of computation time. Included in the appendix is an explanation of the true costing approach

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Power Systems, IEEE Transactions on  (Volume:11 ,  Issue: 3 )