An efficient algorithm ESA combining evolution strategies(ES) with simulated anneal-ing(SA) is proposed in this paper. We first use ES to choose an initial temperature, then use a modified SA to find a global optimum for the problem. An efficient load flow method and a heuristic criterion for determining the temperature-lowering scheme are employed in order to speed up the computation. The solution algorithm has been tested on a distribution system with very promising results.
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