Hybrid Intelligent Algorithm to Solve Multi Objective Reactive Power Control Problem

Reactive power and voltage control is a minimization problem. In this paper the multi objective function consist of minimization of real power losses, minimization of voltage deviation and minimization of voltage stability index subjected to equality and inequality constraints are considered. This can be achieved by proper adjustment of control variables such as the generator voltages, the transformer tap settings, and the switchable VAR sources that would minimize the real power loss, the voltage deviation and the voltage stability index. In this work, the hybrid intelligent algorithm Genetic Algorithm Artificial Bee Colony (GAABC) are used. The hybrid algorithms used are the combination of best features of two intelligent algorithms. GA has good crossover operator and hence inspires hybridization with ABC to identify the source effectively. The population is evolving iteration by iteration to find global optimal solution. To evaluate the performance of the developed algorithm standard IEEE 30 bus system is used. This hybrid algorithm gives better optimal solution as compared to individual intelligent algorithm.