Multi‐objective micro‐grid planning by NSGA‐II in primary distribution system

SUMMARY The paper proposes a two‐stage multi‐objective micro‐grid (MG) planning in a primary distribution system. In the first stage, the optimal region for micro‐grid is identified by the loss sensitivity factor. In the second stage, a Pareto‐based non‐dominated sorting genetic algorithm II (NSGA‐II) is proposed to determine locations and sizes of a specified number of distributed generator units (DGs) within MG. A fuzzy decision making analysis is used to obtain the final trade off optimal solution. The proposed methodology is tested on 33‐bus radial and 69‐bus closed‐loop distribution systems. Test results indicate that NSGA‐II is a viable planning tool for practical MG system and useful contribution of MG in improving distribution system performance.