Recent development and application of evolutionary optimisation techniques in power systems

This paper reviews some development of the methods for improving the robustness of evolutionary optimisation techniques and in particular the genetic algorithm (GA). The first method is based on the combination of GA and simulated annealing. The second method involves the concept of virtual population and its incorporation into the standard GA. The paper then outlines GA approaches to the problems of power flow, loadability limit calculation and evaluation of power market equilibrium. It also outlines the application of evolutionary programming to the heat and power dispatch problem of cogeneration systems.

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