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Risk analysis and optimization for communication transmission link interruption in Smart Grid cyber-physical system:

机译:智能电网网络物理系统中通信传输链路中断的风险分析和优化:

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Since the communication network of the cyber-physical power system is responsible for communicating information, which guarantees the operation of the cyber-physical power system, researchers focus on the stability of the communication system. This article analyzes the risk of the communication transmission link interruption based on the network structure and characteristics of service transmission and proposes a path optimization method. First, we analyze the impact of link disruption on network structure and service, respectively, and quantify the impact as link interruption risk. According to the risk analysis, we propose an optimization method utilizing the Dijkstra’s algorithm and the genetic algorithm to reconfigure service paths, which aims to minimize time delay and realize the equilibrium of service distribution. Through a particular situation, we calculate the link interruption risk and use the optimization method to configure service path for affected service. The results show that the time delays of the optimized service paths are in the acceptable level as well as the balance index of the service distribution is decreased obviously. The simulation experiment reveals the operability of the risk analysis method and the effectiveness of the path optimization method, which provides a technical reference for risk analysis and service path configuration.
机译:由于电子物理电源系统的通信网络负责信息通信,从而保证了电子物理电源系统的运行,因此研究人员将重点放在通信系统的稳定性上。根据网络结构和业务传输的特点,分析了通信传输链路中断的风险,提出了路径优化方法。首先,我们分别分析链路中断对网络结构和服务的影响,并将影响量化为链路中断风险。根据风险分析,我们提出了一种利用Dijkstra算法和遗传算法对服务路径进行重新配置的优化方法,旨在最大程度地减少时间延迟并实现服务分配的平衡。在特定情况下,我们计算链路中断风险,并使用优化方法为受影响的服务配置服务路径。结果表明,优化后的服务路径的时延处于可接受的水平,服务分配的平衡指标明显降低。仿真实验揭示了风险分析方法的可操作性和路径优化方法的有效性,为风险分析和服务路径配置提供了技术参考。

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