A Taguchi customized multi-objective particle swarm optimization method for emergency repair of distribution network

The distribution network is the last link of power supply, but in the face of extreme weather, failures are inevitable. How to complete the repair work of the distribution network at low cost and efficiently has become a research hotspot this year. Since many factors need to be considered in the emergency repair of distribution network faults, single-objective planning alone is not competent. Therefore, this paper solves the emergency repair problem of distribution network based on multi-objective optimization particle swarm optimization algorithm (MOSPO). In order to improve the performance of MOPSO, this paper uses the Taguchi method to customize the optimal parameters of the MOPSO algorithm, and proposes Ti-MOPSO. This paper uses NAGA II, IDBEA and Ti-MOPSO to conduct comparative tests. The test results show that the Ti-MOPSO proposed in this paper has excellent performance; in the simulation test, Ti-MOPSO can excellently complete the emergency repair plan planning of the distribution network.