摘要

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.

  • 出版日期2012-3