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Research on Risk Assessment and Strategy Dynamic Attack and Defense Game Based on Twin Model of Power Distribution Network

机译:基于双胞胎配电网络的风险评估与战略动态攻击与防御游戏研究

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Based on the research and construction of smart grid at home and abroad, this paper puts forward the application of machine learning theory to smart grid. For the first time, this paper tries to integrate the traditional power grid strategy with the computer network to establish the distribution network fault solving strategy library, leading the grid to be intelligent. At the same time, another innovation of this paper is to put forward the conception of the twin model system. The method abstracts the power grid into the integration of the information-physical system through data exchange, and the grid state in each node corresponds to the twin matrix, which makes the grid modeled, digitized. According to this idea, the smart grid system can find the optimal strategy in the fault solving strategy library after the failure, and can realize the self - healing function of the distribution network. In this paper, we first simply introduce the algorithms of machine learning and information physics coupling system. Then we introduce the composition of twin model system and its basic principles. Finally, we elaborate the process of intelligent distribution network's offline construction and online operation.
机译:基于国内外智能电网的研究和构建,本文提出了机器学习理论在智能电网的应用。这篇论文首次试图将传统电网策略与计算机网络集成,建立了分销网络故障解决策略库,导致网格智能。与此同时,本文的另一个创新是提出双模型系统的概念。该方法通过数据交换摘要电网进入信息物理系统的集成,每个节点中的网格状态对应于双矩阵,这使得网格建模,数字化。根据这个想法,智能电网系统可以在故障后找到故障解决策略库中的最佳策略,并可以实现分销网络的自愈功能。在本文中,我们首先简单地介绍了机器学习和信息物理耦合系统的算法。然后我们介绍双模型系统的组成及其基本原则。最后,我们详细说明了智能配送网络的离线建设和在线运营的过程。

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