Due to the widespread of new technologies, the modern electric power system has become much more complex and uncertain. The Integration of technologies in the electric power system has increased the exposure of cyber threats and correlative susceptibilities from malicious cyber-attacks. To better address these cyber risks and minimize the effects of the power system outage, this research identifies the potential causes and mitigation techniques for the smart grid (SG) and assesses the overall cyber resilience of smart grid systems using a Bayesian network approach. Bayesian network is a powerful analytical tool predominantly used in risk, reliability, and resilience assessment under uncertainty. The quantification of the model is examined, and the results are analyzed through different advanced techniques such as predictive inference reasoning and sensitivity analysis. Different scenarios have been developed and analyzed to identify critical variables that are susceptible to the cyber resilience of a smart grid system of systems. Insight drawn from these analyses suggests that overall cyber resilience of the SG system of systems is dependent upon the status of identified factors, and more attention should be directed towards developing the countermeasures against access domain vulnerability. The research also shows the efficacy of a Bayesian network to assess and enhance the overall cyber resilience of the smart grid system of systems.

中文翻译：

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使用基于贝叶斯网络的方法对智能电网的网络弹性进行建模和评估：系统问题系统

由于新技术的广泛普及，现代电力系统变得更加复杂和不确定。电力系统中的技术集成增加了网络威胁和恶意网络攻击带来的相关敏感性的风险。为了更好地解决这些网络风险并最大程度地减少电力系统中断的影响，本研究确定了智能电网（SG）的潜在原因和缓解技术，并使用贝叶斯网络方法评估了智能电网系统的整体网络弹性。贝叶斯网络是强大的分析工具，主要用于不确定性下的风险，可靠性和复原力评估。检查模型的量化，然后通过不同的先进技术（例如预测推理和敏感性分析）对结果进行分析。已经开发和分析了不同的场景，以识别易受系统智能电网系统的网络弹性影响的关键变量。从这些分析中得出的见解表明，系统SG系统的整体网络弹性取决于已确定因素的状态，应更加关注开发针对访问域漏洞的对策。该研究还显示了贝叶斯网络评估和增强系统智能电网系统的整体网络弹性的功效。已经开发和分析了不同的场景，以识别易受系统智能电网系统的网络弹性影响的关键变量。从这些分析中得出的见解表明，系统SG系统的整体网络弹性取决于已确定因素的状态，应更加关注开发针对访问域漏洞的对策。该研究还显示了贝叶斯网络评估和增强系统智能电网系统的整体网络弹性的功效。已经开发和分析了不同的场景，以识别易受系统智能电网系统的网络弹性影响的关键变量。从这些分析中得出的见解表明，系统SG系统的总体网络弹性取决于已确定因素的状态，应更加关注开发针对访问域漏洞的对策。该研究还显示了贝叶斯网络评估和增强系统智能电网系统的整体网络弹性的功效。应当更加重视开发针对访问域漏洞的对策。该研究还显示了贝叶斯网络评估和增强系统智能电网系统的整体网络弹性的功效。应当更加重视开发针对访问域漏洞的对策。该研究还显示了贝叶斯网络评估和增强系统智能电网系统的整体网络弹性的功效。