混合时空事件驱动的微电网信息物理系统耦合关系建模方法
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events
摘要：
微电网信息物理系统（CPS）的本质在于信息流和能量流的循环转换。现有的耦合模型大多采用静态网络和接口结构建模，没有充分考虑数据流的闭环特性。这些模型难以准确描述微电网CPS攻击识别、风险传播、安全评估、防御控制、连锁故障等时空推演过程。针对这一问题，提出了一种混合时空事件驱动的微电网CPS耦合关系建模方法。首先，根据微电网CPS的拓扑关联和耦合逻辑，分析了信息流和能量流的循环转换机制，构建了以多Agent为核心的微电网CPS体系结构。其次，采用混合自动机描述CPS的时空演化特性，设计了多Agent CPS终端的任务协调机制。在此基础上，提出了一种基于异构多组的CPS离散-连续关联和终端结构特征表示方法。最后定义了状态感知、网络通信、智能决策和动作控制四个时空事件。在考虑信息流和能量流时间转换约束的基础上，建立了微电网CPS耦合模型，并通过仿真虚假数据注入攻击（FDIA）场景验证了模型的有效性。
英文摘要：
The essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with static networks and interface structures, in which the closed-loop data flow characteristic is not fully considered. It is difficult for these models to accurately describe spatiotemporal deduction processes, such as microgrid CPS attack identification, risk propagation, safety assessment, defense control, and cascading failure. To address this problem, a modeling method for the coupling relations of microgrid CPS driven by hybrid spatiotemporal events is proposed in the present work. First, according to the topological correlation and coupling logic of the microgrid CPS, the cyclical conversion mechanism of information flow and energy flow is analyzed, and a microgrid CPS architecture with multi-agents as the core is constructed. Next, the spatiotemporal evolution characteristic of the CPS is described by hybrid automata, and the task coordination mechanism of the multi-agent CPS terminal is designed. On this basis, a discrete-continuous correlation and terminal structure characteristic representation method of the CPS based on heterogeneous multi-groups are then proposed. Finally, four spatiotemporal events, namely state perception, network communication, intelligent decision-making, and action control, are defined. Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios.
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