Method for enhancing distribution network resilience under typhoon disasters based on multi-scale attention mechanisms and multi-resource coordinated optimization

Authors

Guilian WU, Economic and Technology Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China; Distribution Network Planning and Operation Control Technology in Multiple Disaster Superimposed Areas State Grid Corporation Laboratory, Fuzhou 350013, China; School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaFollow
Naixuan ZHU, Economic and Technology Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China; Distribution Network Planning and Operation Control Technology in Multiple Disaster Superimposed Areas State Grid Corporation Laboratory, Fuzhou 350013, China
Hao CHEN, Economic and Technology Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China; Distribution Network Planning and Operation Control Technology in Multiple Disaster Superimposed Areas State Grid Corporation Laboratory, Fuzhou 350013, China
Nuoling SUN, Economic and Technology Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China; Distribution Network Planning and Operation Control Technology in Multiple Disaster Superimposed Areas State Grid Corporation Laboratory, Fuzhou 350013, China
Jinlin LIAO, Economic and Technology Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350013, China; Distribution Network Planning and Operation Control Technology in Multiple Disaster Superimposed Areas State Grid Corporation Laboratory, Fuzhou 350013, China

Keywords

LSTM-MSA; extreme weather; distribution network; diversified flexible resources; coordinated optimization scheduling; resilience

Abstract

In recent years, the increasing frequency of extreme weather events poses a serious threat to the secure operation of distribution networks. To improve the accuracy of typhoon-induced hazard intensity forecasting, an LSTM network enhanced with multi-scale attention (LSTM-MSA) is developed, which overcomes the deficiency of the traditional LSTM model that cannot capture the local attention mechanism. Building on this, a resilience-enhancement strategy is proposed that coordinates diverse flexible resources, including line reinforcement, tie-switch operation, wind power generation, and energy storage system control, to mitigate the impacts of typhoon disasters on the distribution network. Case studies on the IEEE 33-node and IEEE 69-node distribution systems demonstrate the feasibility and effectiveness of the proposed method, providing a new perspective and a practical solution for enhancing the robustness of urban distribution networks.

DOI

10.19781/j.issn.1673-9140.2025.06.009

First Page

90

Last Page

100

Recommended Citation

WU, Guilian; ZHU, Naixuan; CHEN, Hao; SUN, Nuoling; and LIAO, Jinlin (2026) "Method for enhancing distribution network resilience under typhoon disasters based on multi-scale attention mechanisms and multi-resource coordinated optimization," Journal of Electric Power Science and Technology: Vol. 40: Iss. 6, Article 9.
DOI: 10.19781/j.issn.1673-9140.2025.06.009
Available at: https://jepst.researchcommons.org/journal/vol40/iss6/9