Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm

This paper presents an interactive fuzzy satisfying method, which is based on Hybrid Modified Shuffled Frog Leaping Algorithm, and should solve the problem of the Multi-objective optimal placement and sizing of DG (distributed generation) units in the distribution network. Minimizing total electrical energy losses, total electrical energy cost and total pollutant emissions produced are the objective functions in this problem. Also, the improvement of the voltage profile is considered as a constraint in determining the optimal placement. In the proposed method, the objective functions are modeled with fuzzy sets. The multi-objective problem is transformed into a mini–max problem, which is then handled by the proposed evolutionary algorithm. Finally, the proposed algorithm is tested on a 69-bus distribution test system based on technical, economical and environmental protection considerations. The simulation results illustrate the good performance and applicability of the proposed method. ► Optimal operation of distribution networks. ► Save energy and environmental pollution. ► Multi-objective optimal placement and sizing of DG units in distribution networks. ► The algorithm combines MSFLA with DE.