As an important part of urban lifeline networks, the urban power network is threatened by multiple types of intentional attackers, such as criminals, terrorists, illegal employees, etc. Each type of attackers differs remarkably in purposes, strategies and valuations of targets. In order to improve the defense capability of urban power network under the threat of different types of attackers, this study proposed an optimal allocation method of defensive resources based on Bayesian game model to reduce the expected loss of the defender. In the case study of IEEE 30-bus network, the reliability and applicability of the resource optimization allocation method are verified through the comparison of the expected loss under different strategy combinations. It is proved that the Bayesian Nash equilibrium defense strategy is the best choice for the defender when there are different types of attackers.

城市电网作为城市生命线网络的重要组成部分，受到犯罪分子、恐怖分子、非法雇员等多种类型的蓄意攻击者的威胁，每种类型的攻击者在目的、策略和目标估值上存在显着差异。为了提高城市电网在不同类型攻击者威胁下的防御能力，本研究提出了一种基于贝叶斯博弈模型的防御资源优化配置方法，以降低防御者的预期损失。以IEEE 30总线网络为例，通过比较不同策略组合下的预期损失，验证资源优化分配方法的可靠性和适用性。