Distribution network cluster partition method based on multiobjective particle swarm algorithm

Abstract:
The large-scale grid connection of distributed power sources increases the complexity of the distribution network structure and makes the adjustment of the distribution system more complex, which brings adverse effects to the power grid. This paper mainly studies the problem of multi-objective distribution network cluster division with large-scale distributed energy. Firstly, a distribution network cluster division index is established, including modularity and active and reactive power balance indices. Then a dynamic multi-objective particle swarm algorithm is proposed to obtain the Pareto frontier of cluster division. Finally, the Max-Min method is adopted to choose a compromise solution for cluster division. The experimental results show that the method proposed in this paper can give an ideal cluster division result.