UPFC Location and Optimum Power Flow in Wind Power Generation Using Evolutionary Program Techniques

Wind energy conversion systems convert the kinetic energy of the wind into electricity or other forms of energy. As one of the most viable sources of renewable energy, wind power is undergoing rapid expansion. In this paper presents solution of optimal power flow problem of large wind power systems via a simple evolutionary program algorithm. The objective is to minimize the generating cost and keep the power outputs of generators, bus voltages, in their secure limits. CPU times can be reduced by decomposing the optimization constraints to active constraints and passive constraints manipulated directly by the evolutionary program algorithm. The IEEE 14-bus system has been studied to show the effectiveness of the algorithm. Over the last two decades, Evolutionary Computation (EC) has shown tremendous success for solving complex real-world problems. Although the great success for EC was first recognized in the 1980s, the researchers in other domain are still confused about the acceptability of Evolutionary Algorithms (EAs) as optimization tool. The focal point for this confusion is the lack of convincing mathematical foundation which is the strong basis of all conventional optimization techniques.