中国电力2026，Vol.59Issue(2)：90-103,14.DOI:10.11930/j.issn.1004-9649.202502050
暴雨灾害下计及移动应急电源优化的电网负荷恢复策略
Power grid load restoration strategy considering optimization of mobile emergency power sources under heavy rainstorm disasters
摘要
Abstract
Utilizing various forms of mobile emergency power sources to flexibly dispatch electrical energy is an important technical approach to rapidly restore the important loads of power grids and enhance the resilience of urban distribution networks under rainstorm disasters.Therefore,a collaborative optimization strategy for rapid recovery of distribution networks after rainstorm disasters based on mobile emergency power sources is proposed.Firstly,a spatio-temporally coupled mobile behavior model for mobile emergency power sources is developed,and linear constraints characterizing the movement of mobile emergency power sources in post-disaster power grids are constructed.Then,relevant constraints characterizing the output operation of mobile emergency power sources are constructed to address the two main categories—mobile energy storage and mobile generators—while accounting for the charging and discharging behaviors of mobile energy storage systems.Meanwhile,by integrating with constraints characterizing power grid operations,an objective function is constructed based on the principle of maximizing restored load energy while considering dispatch costs,and a mixed-integer second-order cone optimization model for post-disaster grid load restoration is established,which incorporates the collaborative optimization of mobile emergency power sources.Finally,by setting up different case scenarios,this study analyzes the dispatch of mobile emergency power sources and the load recovery results after rainstorm disasters,verifying the accuracy and effectiveness of the proposed model.关键词
灾后电网/负荷恢复/移动储能/移动发电机/二阶锥优化Key words
post-disaster power grid/load restoration/mobile energy storage/mobile generator/second-order cone optimization引用本文复制引用
杨廷天,林星辛,曾柯寒,张才斌..暴雨灾害下计及移动应急电源优化的电网负荷恢复策略[J].中国电力,2026,59(2):90-103,14.基金项目
中国博士后科学基金资助项目(2020M683480) （2020M683480）
国网四川省电力公司科技项目(521920230002). This work is supported by China Postdoctoral Science Foundation(No.2020M683480) （521920230002）
Science and Technology Project of State Grid Sichuan Electric Power Company(No.521920230002). （No.521920230002）
