Journal Press India^®

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Wind energy conversion systems convert the kinetic energy of the wind intoelectricity or other forms of energy. As one of the most viable sources ofrenewable energy, wind power is undergoing rapid expansion. In this paperpresents solution of optimal power flow problem of large wind power systemsvia a simple evolutionary program algorithm. The objective is to minimize thegenerating cost and keep the power outputs of generators, bus voltages, in theirsecure limits. CPU times can be reduced by decomposing the optimizationconstraints to active constraints and passive constraints manipulated directly bythe evolutionary program algorithm. The IEEE 14-bus system has been studiedto show the effectiveness of the algorithm. Over the last two decades, Evolutionary Computation (EC) has shown tremendous success for solvingcomplex real-world problems. Although the great success for EC was firstrecognized in the 1980s, the researchers in other domain are still confusedabout the acceptability of Evolutionary Algorithms (EAs) as optimization tool. The focal point for this confusion is the lack of convincing mathematicalfoundation which is the strong basis of all conventional optimizationtechniques.

Keywords

UPFC; EP; OPFl; 14 BUS SYSTEMS.

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