高电压技术2025，Vol.51Issue(10)：5078-5089,12.DOI:10.13336/j.1003-6520.hve.20250661
综合脆弱性驱动的配电网储能优化配置及抗灾性能分析
Comprehensive Vulnerability-driven Energy-storage Optimal Allocation and Disaster-resilience Analysis for Distribution Networks
摘要
Abstract
The large-scale integration of distributed photovoltaic(PV)systems and their inherent uncertainties have sig-nificantly increased the operational risks to distribution networks.Moreover,frequent extreme events have led to substantial out-age-related losses,highlighting an urgent need to improve the networks resilience against disasters and enhance their load-supply capabilities.To address these issues,an energy-storage allocation method that balances eco-nomic performance and comprehensive vulnerability is proposed.First,a two-stage vulnerability evaluation framework for distribution networks is established.In the pre-event stage,weak lines and nodes within the distribution network are identified based on improved electrical betweenness,line voltage-deviation rate,and network equilibrium indices.In the post-event stage,based on the identified vulnerabilities,random-fault and worst-case fault scenarios are constructed to simulate extreme disaster conditions.Additionally,an improved network-supply-efficiency index is developed to quantify the recovery capability of grid under such conditions.Subsequently,a multi-objective energy-storage allocation model is established,using economic performance and comprehensive vulnerability as objective functions.A multi-objective parti-cle swarm optimization algorithm enhanced by chaotic mapping and simulated annealing(SA-MPSO)is then employed to determine the optimal siting and sizing of energy storage units.Finally,simulations are performed on a modified IEEE 33-bus test system under random and deliberate attack scenarios,representing realistic random and worst-case conditions.Simulation results demonstrate that integrating energy storage effectively enhances the supply capability and disaster re-silience of the distribution network,validating the effectiveness of the proposed method.关键词
极端事件/综合脆弱性/储能配置/多目标粒子群算法/网络效能Key words
extreme events/comprehensive vulnerability/storage configuration/MOPSO/network efficiency引用本文复制引用
杨博超,刘晓川,田志曈,张轶炫,蓝磊,鲁海亮..综合脆弱性驱动的配电网储能优化配置及抗灾性能分析[J].高电压技术,2025,51(10):5078-5089,12.基金项目
中国博士后科学基金(2025M770487).Project supported by China Postdoctoral Science Foundation(2025M770487). （2025M770487）
