基于电网影响因子的电力通信网关键节点识别
作为电力系统的通信专网,电力通信网具有明显的行业特点。为准确识别网络关键节点,从电力通信网与电网的特殊关系分析节点的重要性,提出电网影响因子的概念。根据节点所处的站点在电网中的地位及作用,即站点类别因素和负荷因素两方面评价节点权重。然后利用电网影响因子,并结合所定义的聚合系数指标,分析电力通信网中重要节点的分布密集状况,得到各节点在网络拓扑中的相对重要性。仿真表明,相对于现有其他算法,该算法能够更好地结合电力通信网的应用特点区分网络拓扑中节点位置相似的节点的重要性,在电力通信网运行风险分析中具有较大的参考价值。...
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| Published in | 电力系统保护与控制 Vol. 44; no. 2; pp. 102 - 108 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
广东电网电力调度控制中心,广东广州,510600%四川创立信息科技有限责任公司,四川成都,610093
2016
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| Subjects | |
| Online Access | Get full text |
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| Summary: | 作为电力系统的通信专网,电力通信网具有明显的行业特点。为准确识别网络关键节点,从电力通信网与电网的特殊关系分析节点的重要性,提出电网影响因子的概念。根据节点所处的站点在电网中的地位及作用,即站点类别因素和负荷因素两方面评价节点权重。然后利用电网影响因子,并结合所定义的聚合系数指标,分析电力通信网中重要节点的分布密集状况,得到各节点在网络拓扑中的相对重要性。仿真表明,相对于现有其他算法,该算法能够更好地结合电力通信网的应用特点区分网络拓扑中节点位置相似的节点的重要性,在电力通信网运行风险分析中具有较大的参考价值。 |
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| Bibliography: | As the exclusive communication network for power system, the electric power communication network has obvious characteristics of the electric power industry. In order to identify the crucial nodes of network accurately, the index of power network impact factor is proposed based on the special relationship between power system and power communication network. The nodes weights are evaluated on the basis of the category factor and the load factor, namely the position and function in the station where the nodes belong. Meanwhile, combining with a new definition for coefficient polymerization indexes, it analyzes the distribution state of the critical nodes. The simulation results show that the proposed algorithms can distinguish the importance degree of the nodes with similar topological positions by combining the application characteristics of power communication network, and has great reference value in power communication network operational risk analysis. ZENG Ying, ZHU Wenhong, DENG Boren, LUO Yun （1. Power |
| ISSN: | 1674-3415 |