REAL PARAMETER GENETIC ALGORITHM FOR MULTIOBJECTIVE REACTIVE POWER DISPATCH

D. Devara j, S. Duraira j, and P.S. Kannan

Keywords

Reactive power dispatch, genetic algorithm, line loss minimization,voltage deviation

Abstract

An improved genetic algorithm (IGA) approach for solving the multiobjective reactive power dispatch (RPD) problem is presented in this paper. Minimization of real power loss and total voltage deviation are the objectives of this reactive power optimization problem. Generator bus voltage magnitudes, transformer tap settings and reactive power generation of the capacitor bank are taken as the control variables. In the proposed approach, some modifications are applied to the original GA to take into account the discrete nature of transformer tap setting and capacitor bank. For effective genetic operation, the crossover and mutation operators which can directly deal with the floating point numbers and integers are used. The effectiveness of the proposed approach is demonstrated using IEEE 30-bus test system. The simulation result shows that the proposed method is more efficient than the conventional methods and the traditional binary-coded GA for RPD problem.

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