Study of reactive power optimization based on immune genetic algorithm

A novel algorithm, immune genetic algorithm (IGA) is proposed to apply to reactive power optimization of power system. Based on retaining excellent characteristics of genetic algorithm (GA), through imitating the biological immune system, the algorithm evaluates and selects the optimal solutions by the affinities between antigens and antibodies. With the regulation of the activating and suppressing of antibodies, IGA can achieve the dynamic balance between individual diversity and population convergence and avoid getting into the local optimal solution. The proposed algorithm is applied to the IEEE 30-bus system as a common tested, and the results show its good population convergence and fast computing speed.