文章摘要
葛少云,孙昊,刘洪,等.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[J].电力系统自动化,2019,43(6):77-84. DOI: 10.7500/AEPS20180806006.
GE Shaoyun,SUN Hao,LIU Hong, et al.Power Supply Capability Evaluation of Active Distribution Network Considering Reliability and Post-fault Load Response[J].Automation of Electric Power Systems,2019,43(6):77-84. DOI: 10.7500/AEPS20180806006.
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
Power Supply Capability Evaluation of Active Distribution Network Considering Reliability and Post-fault Load Response
DOI:10.7500/AEPS20180806006
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
KeyWords: active distribution network(ADN)  power supply capability  power supply reliability  flexible demand  load response  genetic algorithm
上网日期:2019-02-19
基金项目: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)
作者单位E-mail
葛少云 智能电网教育部重点实验室(天津大学), 天津市 300072  
孙昊 智能电网教育部重点实验室(天津大学), 天津市 300072  
刘洪 智能电网教育部重点实验室(天津大学), 天津市 300072 liuhong@tju.edu.cn 
张强 智能电网教育部重点实验室(天津大学), 天津市 300072  
李吉峰 智能电网教育部重点实验室(天津大学), 天津市 300072  
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。
Abstract:
      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, a quasi-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.
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