1.浙江工业大学信息工程学院,浙江省杭州市 310023;2.湖州电力设计院有限公司,浙江省湖州市 313099
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。
国家自然科学基金资助项目(51777193)。
徐登辉(1996—),男,硕士研究生,主要研究方向:信息物理系统、配电网可靠性。E-mail: bgwdxdh@163.com
王妍彦(1995—),女,硕士研究生,主要研究方向:电网信息物理系统、微电网能量调度。E-mail: zjnbwyy@163.com
张有兵(1971—),男,通信作者,教授,博士生导师,主要研究方向:智能电网、分布式发电及新能源优化控制、电动汽车入网、电力系统通信、电能质量监控。E-mail: youbingzhang@zjut.edu.cn
1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;2.Huzhou Electric Power Design Institute Co., Ltd., Huzhou 313099, China
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 self-healing 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.
[1] | 徐登辉,王妍彦,张有兵,等.不确定性环境下考虑信息失效的主动配电网可靠性评估[J].电力系统自动化,2020,44(22):134-142. DOI:10.7500/AEPS20200217014. XU Denghui, WANG Yanyan, ZHANG Youbing, et al. Reliability Assessment of Active Distribution Network Considering Cyber Failure in Uncertain Environment[J]. Automation of Electric Power Systems, 2020, 44(22):134-142. DOI:10.7500/AEPS20200217014. |