Optimal power grid black start using fuzzy logic and expert system

Reasonable restoration plans for power systems after large-scale power failures are important in both theory and practice. Based on fuzzy data envelopment analysis (DEA), an algorithm for assessing the black-start schemes of power system is proposed in this paper. Depending on the concepts of L-R fuzzy number and α-cut, this algorithm drew important factors from the process of black start as fuzzy input or output indexes and then established a fuzzy computing model. After the black-start schemes were sorted by the relative efficiency values of decision-making units (DMUs), the best one was recommended to dispatchers. The instance of a real power system proves that it is a feasible method. Copyright © 2008 John Wiley & Sons, Ltd.

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