This paper proposes a novel hybrid method for the planning of reactive power problem (RPP). The objective of this paper is to determine the optimum investment required to satisfy suitable reactive power constraints for an acceptable performance level of a power system. Due to the discrete nature of reactive compensation devices, the given objective function leads to a nonlinear problem with combined (distinct and constant) variables. It is solved by a hybrid procedure, aiming to develop the best search features of an iterative algorithm. The performance of the proposed procedure is shown by presenting the numerical results obtained from its application to the IEEE 30-bus test network. The results obtained are compared with evolutionary programming (EP) and Broyden method to determine the efficacy of the proposed method.
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