电力建设2024，Vol.45Issue(5)：29-36,8.DOI:10.12204/j.issn.1000-7229.2024.05.004
考虑电动汽车参与韧性提升的配电网状态平滑切换控制策略
Enhancing Distribution Network Resilience:Electric Vehicle Integration in Seamless State Switching Strategy
摘要
Abstract
In the aftermath of extreme disasters,electric vehicles(EV)can serve as mobile power sources,bolstering the resilience of distribution networks by supplying power to critical loads.To address the challenge of dispatching instruction instability stemming from unforeseeable faults,alongside the need for seamless switching between normal and fault state scheduling models in distribution networks,this study explores the integration of EVs into resilience enhancement strategies,with smooth switching of the running state.Based on the normalization of binary variables representing the EV state and connection mode,a linearized EV spatiotemporal dynamic model is developed,meeting the power requirements for large flexible EV scheduling computations.Considering the uncertainty factors inherent in EVs and transportation networks,a unified scheduling model encompassing both normal and fault states is formulated.This model relies on real-time rolling updates of information from both the transportation and distribution networks.In the normal state,the objective is to optimize economy and resilience,while the fault state aims at solely optimizing resilience.The seamless switching between these two states is realized through the introduction of state characterization parameters.The simulation results demonstrate that the proposed strategy significantly reduces computational overhead without compromising accuracy,thereby facilitating optimal resilience recovery and smooth transitions within the distribution network.关键词
配电网/电动汽车/韧性/平滑切换/运行控制Key words
distribution network/electric vehicle/toughness/smooth switching/operation control分类
信息技术与安全科学引用本文复制引用
马继洋,蔡永翔,唐巍,张璐,张志刚..考虑电动汽车参与韧性提升的配电网状态平滑切换控制策略[J].电力建设,2024,45(5):29-36,8.基金项目
This work is supported by National Natural Science Foundation of China(No.51977211). 国家自然科学基金面上项目(51977211) （No.51977211）
