Research on a two-stage optimization algorithm for multi-objective reactive power optimization of distribution network

This paper proposes a two-stage optimization algorithm for multi-objective reactive power optimization of distribution network. In the first stage, an approximate Pareto solution set is obtained using traditional multi-objective optimization algorithm. Then the preferred area for searching is calculated with the preference information of Decision Maker (DM) and the approximate Pareto solutions. In the second stage, an improved dominance relation is proposed to guide the particles of multi-objective particle swarm optimization(MOPSO) to focus on a deep searching in preferred area, with a high calculation efficiency. The case in IEEE 33-node system verifies that compared with the traditional multi-objective reactive power optimization, the method proposed in this paper has a large improvement in generation distance(GD), spacing(SP), error ration(ER) and reduce the optimization time.