Improved glowworm swarm optimization for planning of distributed generations based on the interactive fuzzy decision technique

In order to improve levels of power loss and local voltage magnitudes of distribution network, the optimization allocation problem of distribution generations (DG) in active distribution network is developed. A multi-objective model consisting of the total construction and operation cost and power loss is built, and the algorithm based on glowworm adaptive step strategy is proposed to obtain some optimize allocation pareto sets of DG in distribution network. Then the best allocation set is selected from the above candidate pareto sets by the interactive fuzzy decision technique. The simulation and analysis of IEEE 33-bus system is carried out. Simulation results show the proposed model and algorithm feasible and effective.