Solving Optimal Reactive Power Dispatch Problem by Chaotic Based Brain Storm Optimization Algorithm

In this work Chaotic Predator-Prey Brain Storm Optimization (CPS) algorithm is proposed to solve optimal reactive power dispatch problem. Predator–Prey position cluster centers execute as predators, accordingly it will progress towards enhanced positions, although the left over thoughts do preys; consequently they move far from their neighboring predators. projected chaotic theory has been applied enhance quality of exploration. Ergodicity and indiscretion are utilized in CPS algorithm, such that not get trapped local solution. predator-prey brain storm optimization tested standard IEEE 30 bus test system results show reduced real loss effectively.