基于风险预测的智能电网通信业务路由优化方法

Puyuan Zhao, Peng Yu, Chenchen Ji, Lei Feng, Wenjing Li
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引用次数: 14

摘要

随着电力通信网络在智能电网中的地位越来越重要,为了降低通信业务中断给电力系统带来的故障风险,本文提出了一种基于通信业务风险预测的路由优化方法。首先,我们分析了由于外部因素,如风雪、设备故障等导致通信链路和节点失效的概率。然后根据业务、链路和节点的重要性,计算通信链路和节点的故障风险。进一步,我们提出了三个业务风险指标和相应的改进Dijkstra算法来优化业务路由,从而降低网络故障概率。最后,基于中国某省电网的部分拓扑结构,仿真结果表明,该方法降低了服务风险0和全网风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A routing optimization method based on risk prediction for communication services in smart grid
As power communication network is more and more important in smart grid, to decrease the failure risk of power system caused by the interruption of communication service, this paper propose a novel routing optimization method based on risk predication for communication services. Firstly, we analyze the probability of failure of communication link and node which is induced by external factors, like winds and snows, equipment failures, and etc. Then based on importance of services, links and nodes, we calculate the risk of failure of communication link and node. Further, we propose three service risk indicators and corresponding improved Dijkstra algorithms to optimize service routing, thus to decrease the network failure probability. Finally, based on part of power grid topology structure from a Chinese province, the simulation results show that the service risk o and the risk of the whole network are also reduced.
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