考虑可靠性与故障后负荷响应的主动配电网供电能力评估
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  • 英文篇名:Power Supply Capability Evaluation of Active Distribution Network Considering Reliability and Post-fault Load Response
  • 作者:葛少云 ; 孙昊 ; 刘洪 ; 张强 ; 李吉峰
  • 英文作者:GE Shaoyun;SUN Hao;LIU Hong;ZHANG Qiang;LI Jifeng;Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University);
  • 关键词:主动配电网 ; 供电能力 ; 供电可靠性 ; 柔性需求 ; 负荷响应 ; 遗传算法
  • 英文关键词:active distribution network(ADN);;power supply capability;;power supply reliability;;flexible demand;;load response;;genetic algorithm
  • 中文刊名:DLXT
  • 英文刊名:Automation of Electric Power Systems
  • 机构:智能电网教育部重点实验室(天津大学);
  • 出版日期:2019-02-20 10:00
  • 出版单位:电力系统自动化
  • 年:2019
  • 期:v.43;No.652
  • 基金:国家重点研发计划资助项目(2016YFB0900400);; 国家自然科学基金资助项目(51477116)~~
  • 语种:中文;
  • 页:DLXT201906010
  • 页数:19
  • CN:06
  • ISSN:32-1180/TP
  • 分类号:112-129+136
摘要
针对传统供电能力评估中难以同时解决既避免单纯以负荷高峰时刻全网N-1准则为基础又细致计及分布式电源、储能和负荷需求响应影响等问题,提出了考虑可靠性柔性需求与故障后负荷响应的主动配电网供电能力评估方法。首先,结合出力不确定性与用户差异化的响应能力,对主动配电网中的分布式电源、储能与可响应负荷等基本元素进行建模;其次,构建了以最大供电能力为目标、以可靠性需求和故障后负荷响应经济性为主要约束的主动配电网供电能力评估模型;继而,发展了考虑分布式光伏、蓄电池以及需求响应的主动配电网可靠性评估准序贯蒙特卡洛模拟法,并提出了基于遗传算法的供电能力评估模型优化求解方法;最后,通过算例验证了所提方法可有效挖掘主动配电网供电能力,提升资产利用效率。
        The traditional method of power supply capability(PSC)evaluation is simply based on the network-wide N-1 criterion at peak load time and fails to consider the impact of distributed generator(DG),energy storage and load response.To solve this problem,this paper proposes a new PSC evaluation method of active distribution network(ADN)considering flexible reliability demand and post-fault load response.Firstly,combined with the uncertainty of DG output and the difference of users' response capability,the DG,energy storage and responsive load in ADN are modeled.Secondly,a PSC evaluation model is constructed with the objective of maximizing the PSC of ADN under the constraints of reliability demand and load response economy.Thirdly,aquasi-sequential Monte Carlo simulation method is developed for reliability assessment of ADN considering distributed photovoltaic,battery and demand response,and a solving method of PSC evaluation model based on genetic algorithm is proposed.Finally,the results of a typical ADN case study show that the proposed method can effectively tap PSC and improve the efficiency of asset utilization.
引文
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