摘要
电力CPS (Cyber-Physical System, 信息物理融合系统)是智能电网的重要特征之一。针对当前,电力CPS中系统保护信息空间对电力系统空间影响的研究还相对较少,因此需要重点研究以解决其在电力的安全稳定可靠运行问题。本文针对系统保护这一智能电网中的代表性的CPS,提出了改进的遗传算法解决通信链路中断后对于网络业务路由路径的优化问题。该方法首先进行跨空间的风险传播影响分析,然后通过对电网潮流影响、业务平均时延、全网均衡度等指标进行系统保护网络通信链路中断对于电网产生的影响分析,最后通过实例仿真实验表明该解决方法在满足时延和电网潮流影响的基础上,优化后的路径比原始路径在全网业务均衡度指标上提升了49%,保障了网络可靠性。
CPS (Cyber-Physical System) of power system is an important feature of smart grid. At present, there is relatively little research on the spatial impact of the system protection information space on the power system in the CPS. Therefore, it is necessary to focus on research to solve the problems of safe, stable and reliable operation in power. This paper proposes an improved genetic algorithm to solve the optimization problem of the network service routing path after the communication link is interrupted. This method first analyzes the impact of cross-space risk propagation, and then analyzes the influence of net-work communication link interruptions on the power grid through impacts such as power flow impact, average service latency, and the whole network services balance, and finally through an example simulation experiment. It shows that the proposed solution can improve the reliability of the network by ensuring that the optimized path is 49% better than the original path in the service metrics of the entire network, based on the effect of delay and the impact of grid power flow.
基金
2017年国家电网公司总部科技项目:系统保护通信网络技术体制及关键技术研究(Grant No.SGXT0000ASJS1700054)。
