WU Y M,AN Y J,HE P,et al．Multi-period power restoration for distribution networks considering collaborative optimization of fault recovery and emergency［J］.Journal of Henan Polytechnic University( Natural Science) ，doi:10.16186/j.cnki.1673-9787.2025120093.

doi:10.16186/j.cnki.1673-9787.2025120093

Received：2025-12-27

Revised：2026-06-02

Online：2026-09-21

Multi-period power restoration for distribution networks considering collaborative optimization of fault recovery and emergency (Online)

WU Yanmin¹, AN Yanjun¹, HE Ping², GUO Ruiliang¹, SONG Qipeng³, ZHU Xiangqian¹

(1.College of Building Environment Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China；2. College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China；3. China Electric Power Research Institute, Beijing 100192, Beijing, China)

Abstract: Objectives The frequent occurrence of extreme weather events had severely impacted the safe and stable operation of active distribution networks. To improve the fault recovery capability of the distribution network after a disaster, the establishment of efficient restoration strategies was of great value. Methods Aiming at faults caused by extreme weather events, a multi-period restoration strategy with collaborative optimization of fault recovery and emergency repair was proposed. First, a photovoltaic-storage combined system was formed to reduce the output volatility of distributed photovoltaics. By considering the load demand and importance levels in different periods, the load restoration priority coefficients for each period were obtained. A fault recovery model was established with objectives of load shedding cost, network loss cost, and switch operation cost, and a collaborative optimization strategy for island division and fault recovery reconfiguration was proposed for solution. Second, an emergency repair model was established with objectives of minimizing power-outage load and shortest repair time. The improved Nutcracker optimization algorithm was used to solve for optimal repair components. The fault recovery model and emergency repair model were employed to iteratively optimize the distribution network structure, while resilience evaluation indicators of the distribution network were introduced to quantify the restoration effect of the proposed strategy. Results A comparative analysis and test simulation were conducted using the coupled system composed of IEEE 33-node network and transportation network system. Compared with Scheme 2, the load loss rate was reduced by 51.61%, the average load recovery duration was shortened by 53.33%, and the load recovery rate was two-fold increased by the method proposed in this paper. Moreover, it brought about a more significant improvement in the post-disaster performance recovery of the distribution network than Scheme 1. Conclusions The proposed multi-period fault recovery and repair model comprehensively considered the improvement of system performance brought by component restoration and the required repair time. The improved Nutcracker optimization algorithm efficiently solved the optimal repair route, and performed rolling optimization of the distribution network structure in combination with the fault recovery model, which effectively enhanced the post-disaster performance of the distribution network.

Key words: fault repair; islanding division; fault recovery; resilience enhancement; power restoration