摘要
针对目前评估方法中存在的分布式电源、信息物理模型和交互作用分析考虑不充分的问题,文中提出了一种在不确定性环境下考虑信息失效的主动配电网可靠性评估方法。首先,建立了分布式电源与负荷模型、信息物理元件模型和信息传输可靠性模型。然后,结合信息失效对配电自愈过程的间接作用,量化分析了不确定性环境下信息系统不同层次失效对故障隔离、定位和供电恢复的影响,提出了采用蒙特卡洛抽样的可靠性评估方法。最后,通过算例仿真验证了所提模型和方法的有效性。
In view of the insufficient consideration of distributed generators(DGs),cyber-physical model and interaction analysis in existing assessment methods,this paper proposes a reliability assessment method for active distribution networks considering information failure in an uncertain environment.First,the model of DGs and load,the models of cyber-physical components and the model of information transmission reliability are established.Then,combining the indirect effect of cyber failure on the selfhealing process of distribution networks,the influence of different levels of cyber failure on fault isolation,location and power supply recovery are quantitatively analyzed in the uncertain environment.A reliability assessment method for Monte Carlo sampling is proposed.Finally,the effectiveness of the proposed model and method is verified by simulation examples.
作者
徐登辉
王妍彦
张有兵
吴凯
赵崇娟
XU Denghui;WANG Yanyan;ZHANG Youbing;WU Kai;ZHAO Chongjuan(College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China;Huzhou Electric Power Design Institute Co.,Ltd.,Huzhou 313099,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第22期134-142,共9页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51777193)。
关键词
主动配电网
信息物理系统
可靠性评估
故障处理
蒙特卡洛抽样
active distribution network
cyber-physical system(CPS)
reliability assessment
fault handling
Monte Carlo sampling
