Service Restoration of Distribution System Considering Novel Battery Charging and Swapping Station, Repair Crews, and Network Reconfigurations  

作　　者：Xianqiu Zhao Qingshan Xu Yongbiao Yang 

机构地区：[1]School of Electrical Engineering,Southeast University,Nanjing 210096,China [2]Nanjing Center for Applied Mathematics,Nanjing 210096,China

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第6期1905-1917,共13页现代电力系统与清洁能源学报(英文)

基　　金：This work was funded by the National Natural Science Foundation of China(No.51936003).

摘　　要：With the integration of wind power,photovoltaic power,gas turbine,and energy storage,the novel battery charg-ing and swapping station(NBCSS)possesses significant opera-tional flexibility,which can aid in the service restoration of dis-tribution system(DS)during power outages caused by extreme events.This paper presents an integrated optimization model for DS restoration that considers NBCSS,repair crews,and net-work reconfigurations simultaneously.The objective of this model is to maximize the restored load while minimizing gener-ation costs.To address the uncertainties associated with renew-able energies,a two-stage stochastic optimization framework is employed.Additionally,copula theory is also applied to capture the correlation between the output of adjacent renewable ener-gies.The conditional value-at-risk(CVaR)measure is further in-corporated into the objective function to account for risk aver-sion.Subsequently,the proposed optimization model is trans-formed into a mixed-integer linear programming(MILP)prob-lem.This transformation allows for tractable solutions using commercial solvers such as Gurobi.Finally,case studies are conducted on the modified IEEE 33-bus and 69-bus DSs.The results illustrate that the proposed method not only restores a greater load but also effectively mitigates uncertainty risks.

关 键 词：Novel battery charging and swapping station distribution system service restoration two-stage stochastic optimization conditional value-at-risk 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]