考虑用户负荷决策依赖特性的配电网灾后恢复方法对比分析  

Comparative Analysis of Distribution System Load Restoration Considering Decision-Dependent Behaviors of Customers

作　　者：邓荣楠 宋梦 高赐威[1] 严兴煜 白文超 Deng Rongnan;Song Meng;Gao Ciwei;Yan Xingyu;Bai Wenchao(School of Electrical Engineering Southeast University,Nanjing 210096 China)

机构地区：[1]东南大学电气工程学院,南京210096

出　　处：《电工技术学报》2024年第23期7447-7462,共16页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金项目(52277085);江苏省科协青年科技人才托举工程(TJ-2022-042);东南大学“至善青年学者”支持计划;中国电机工程学会“青年人才托举工程”项目;南京市留学人员科技创新项目资助。

摘　　要：极端天气、网络攻击等因素造成的配电网故障影响范围广、社会影响恶劣,开展韧性配电网建设以满足经济发展和民生需求。研究表明,配电网恢复过程中负荷特性与负荷恢复决策密切相关,然而当前大部分研究并未对此进行全面考虑,用户负荷行为无法被精准量化,配电网负荷恢复过程中往往面临电压、潮流越限等安全问题。鉴于此,该文首先从客观和主观两个角度分析了配电网恢复过程中的用户负荷决策依赖特性及其演化机理,即冷负荷回流(CLPU)和负荷逐利,并分别利用数据驱动和知识驱动方法精准量化其运行特性,为配电网负荷恢复奠定基础;其次,提出两种考虑用户决策依赖特性的配电网负荷恢复方法,一是基于Karush-Kuhn-Tucher(KKT)条件处理的配电网负荷恢复双层优化模型,二是基于时间标签序列的配电网自适应恢复模型,以实现兼顾用户决策依赖特性的配电网负荷快速恢复;最后,基于系统功能曲线,利用最大负荷损失、负荷中断率、隐私暴露程度等指标对两种方法进行对比分析。算例结果表明,在配电网恢复过程中考虑负荷决策依赖特性能够避免出现配电网负荷恢复过程中电压越限等安全问题,提升配电网运行安全性;相较于双层模型,所提出的自适应模型在提高用户隐私保护程度的同时,求解耗时仅为双层模型的33%。The urban distribution system(DS)serves as a crucial link between end-users and the transmission grid,having a direct impact on the quality of power supply.However,DS is relatively more vulnerable to extreme events in comparison to the transmission network.Hence,it has been an urgent priority to enhance the resilience of DS.In recent years,the approach to enhancing DS resilience moving away from traditional load tracking of power sources to a source-grid-load-storage perspective as the structure evolution of DS caused by the high proportion of renewable generation.However,the study of load behavior on the demand side still has limitations,particularly in terms of precise modeling.Representatively,most literature consider the thermal control loads(TCL)as rigid loads or characterizes their cold load pick-up(CLPU)phenomenon as a fixed curve neglecting the dependence on the outage duration.Similarly,the time-varying,diverse,and complex nature of urban building loads under extreme conditions is seldom addressed in relevant papers.This significant deviation from real-world scenarios greatly impacts the applicability of relevant theoretical models and directly restrict the analysis of the load restoration process.Therefore,this paper conducts the following works to address the actual scenario of load restorations in DS.Firstly,the study delves into the dynamic coupling evolution law between urban time-varying loads and DS decision sequences under extreme conditions,considering both objective and subjective reasons.It accurately quantifies the complex behavior of urban building loads during the process of DS restoration in a universal and low-dimensional manner.The paper also explains the dependence of loads on DS restoration sequences,analyzing the decision-dependency characteristics of load from both subjective and objective perspectives.Secondly,the interaction between the DS and end-user decision-making constitutes a bi-level model.This paper employs the Karush-Kuhn-Tucker(KKT)conditions to solve and analyze a bi-lev

关 键 词：配电网 韧性 冷负荷回流 负荷恢复 决策依赖特性 

分 类 号：TM712[电气工程—电力系统及自动化]