Optimal Defense Resources Allocation for Power System Based on Bounded Rationality Game Theory Analysis
Optimal Defense Resources Allocation for Power System Based on Bounded Rationality Game Theory Analysis
复制标题
基于有限理性博弈分析的电力系统防御资源优化配置
DOI：
10.1109/tpwrs.2021.3060009
复制
发表时间：
2021-02
影响因子：
6.6
通讯作者：
Yan-Fu Li
中科院分区：
文献类型：
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作者：
Cheng-Wu Shao;Yan-Fu Li
电力公司分配防御资源，以防止因输电线路故障而引起的恶意物理攻击造成的非计划性减负荷。博弈论解释了防御者和攻击者之间的互动，克服了单方面脆弱性分析的不足。与以往研究中通常假设局中人是理性的，总防御资源是固定的不同，本文研究了局中人的有限理性，并允许可变的总防御资源，以达到更高的实用性。对有限理性攻击者策略的随机响应由量子响应均衡（QRE）模型描述。建立了两层防御资源分配优化框架，以获得最优的防御资源总量和最优的资源分配，并设计了一种2的幂和二分法（CPTD）组合算法进行求解。我们还探讨了有限理性行为在攻防博弈中的多重性质。此外，还建立了一个统一的双边参与者资源配置框架，该框架在成本和收益计算方面都具有优势。据作者所知，这项工作比以前的有关出版物更一般，更实用。IEEE 14节点系统和IEEE 118节点系统的实验研究经验证明了我们的建模和解决方案的改进。
Power utility allocates defense resources to prevent unscheduled load shedding due to transmission line failure caused by the malicious physical attacks. Game theory explains the interaction between the defender and the attacker, overcoming the shortage of unilateral vulnerability analysis. Different from previous researches typically assuming the players are rational and the total defense resources are fixed, this paper investigates the bounded rationality and allows variable total defense resources aiming for a higher level of practicability. Stochastic response to strategies of the bounded rational attacker is described by the Quantal Response Equilibrium (QRE) model. A two-layer defense resources allocation optimization framework is established to obtain both optimal total defense resources and optimal resource distribution, and we design a combined power-of-two and dichotomy (CPTD) algorithm for solution. We also explore the multiple properties of bounded rational behaviors in the attack-defense game. Besides, a unified resources allocation framework of bilateral players is established, which advantages in both cost and reward calculations. To the knowledge of the authors, this work is more general and more practical than previous relevant publications. The experimental studies on the IEEE 14-bus system and the IEEE 118-bus system empirically justify the improvements by our modeling and solution approaches.