不确定性环境下考虑信息失效的主动配电网可靠性评估

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。

Reliability Assessment of Active Distribution Network Considering Cyber Failure in Uncertain Environment

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.