1. 山西大学 电力与建筑学院,山西,太原,030013
2. 国网山西省电力公司经济技术研究院,山西,太原,030021
3. 浙江大学 电气工程学院,浙江,杭州,310027
纸质出版:2025
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王秀丽,张泽宇,谷志红,文福拴,赵兴勇,王尧,石正.考虑暴雪灾害的移动储能系统协同配电网弹性提升的优化策略[J].智慧电力,2025,53(9):64-73.
WANG Xiuli, ZHANG Zeyu, GU Zhihong, et al. Optimization Strategy for Resilience Enhancement of Distribution Networks with Mobile Energy Storage Systems Considering Blizzard Disasters[J]. 2025, 53(9): 64-73.
王秀丽,张泽宇,谷志红,文福拴,赵兴勇,王尧,石正.考虑暴雪灾害的移动储能系统协同配电网弹性提升的优化策略[J].智慧电力,2025,53(9):64-73. DOI: 10.20204/j.sp.2025.09008.
WANG Xiuli, ZHANG Zeyu, GU Zhihong, et al. Optimization Strategy for Resilience Enhancement of Distribution Networks with Mobile Energy Storage Systems Considering Blizzard Disasters[J]. 2025, 53(9): 64-73. DOI: 10.20204/j.sp.2025.09008.
研究了利用移动储能系统(MESS)提升配电网在暴雪灾害下的系统弹性问题。首先,建立随机空间暴雪损伤模型,并采用蒙特卡洛方法对暴雪随机灾害进行了抽样处理;其次,在随机模型基础上,将弹性配电系统规划问题转化为主-子优化问题,实现协同决策。最后,通过改进的IEEE-33节点配电网系统对所提方案进行了验证。仿真结果表明,在暴雪灾害下,当线路发生断线或杆塔倒塌时,采用所设计的路径规划并部署移动储能参与配电网调度后,弃负荷量、总成本和恢复时间均有所降低,证明了所提策略能够有效提升配电网在暴雪极端灾害下的弹性。
This study investigates the use of mobile energy storage systems (MESS) to enhance the resilience of distribution networks under blizzard disasters.First,a stochastic spatial bilzzard damage model is established,and Monte Carlo sampling is applied to simulate random blizzard disaster scenarios.Second,based on the stochastic model,the resilient distribution system planning problem is transformed into a master-subproblem optimization framework to achieve collaborative decision-making.Finally,the proposed strategy is validated using a modified IEEE 33-bus distribution network system.Simulation results demonstrate that when line breaks or tower collapses occur during blizzards,the implementation of designed path planning and MESS deployment reduces load shedding,total costs,and recovery time.This verifies the effectiveness of the proposed strategy in enhancing distribution network resilience under extreme blizzard disasters.
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