Optimal placement and sizing of distributed generation and shunt capacitor via modified multi-objective artificial bee colony algorithm considering different load models

Nowadays due to development of distribution systems and increase in electricity demand, the use of distributed generation sources and capacitor banks in parallel are increased. In this paper a modified multi-objective artificial bee colony (MABC) algorithm to solve the optimal placement and sizing of distributed generation and shunt capacitor is proposed. The objectives consist of minimization of costs, active losses, voltage deviation and improved voltage stability index incorporated with different load models. In the MABC, the bees adjust their trajectories based on the solutions also mutation and crossover operators are used to enhance the proposed algorithm. The proposed algorithm uses an external repository to save founded Pareto optimal solutions during the search process and fuzzy decision making process is employed to extract one of the Pareto-optimal solutions. The proposed algorithm is tested on the 69-bus IEEE test system and the results demonstrate the applicability and effectiveness of the proposed approach compared to that of other algorithms.