本文選題：信息物理融合系統(tǒng) + 相互依存網絡�。� 參考：《電力自動化設備》2017年12期

【摘要】：針對目前元件級的電力信息物理脆弱性評估應用于實際大規(guī)模電力信息物理網時存在計算復雜度高和脆弱性保護配置難的問題,充分考慮網絡的介觀局域特征和社團結構,提出了一種考慮信息物理融合的電網脆弱社團評估方法。以電力系統(tǒng)潮流為邊權重,采用Fast Unfolding算法對電網進行社團劃分,根據(jù)電網和通信網對應分層分區(qū)建設的現(xiàn)狀和實際耦合關系劃分通信網社團,IEEE標準算例的仿真結果證明所采用社團劃分方法的優(yōu)越性。在不同的社團內部耦合關系下采用不同的攻擊策略攻擊電網中各個社團,根據(jù)整個信息物理融合系統(tǒng)故障后的最大連通子集指標評估電網中的脆弱社團,符合我國電網和通信網分層分區(qū)建設的現(xiàn)狀,有利于減少計算復雜度和脆弱性保護模塊化配置的難度。華中500 kV電網信息物理系統(tǒng)的仿真結果證明了所提方法的可行性。
[Abstract]:In order to solve the problems of high computational complexity and difficult configuration of vulnerability protection when the component level vulnerability assessment of power information physics is applied to practical large-scale power information physical network, the mesoscopic local features and community structure of the network are fully considered. In this paper, a method for evaluating vulnerable communities in power grid considering physical fusion of information is proposed. Taking power flow as the edge weight, the Fast Unfolding algorithm is used to divide the power network community. According to the current situation and the actual coupling relation of the construction of the corresponding hierarchical partition between the power network and the communication network, the simulation results of the IEEE standard example of the communication network show the superiority of the proposed method. Different attack strategies are used to attack each community in the power network under different coupling relationships within the community. The vulnerable communities in the power network are evaluated according to the maximum connected subset index of the whole information physical fusion system after failure. In line with the present situation of power network and communication network construction in China, it is helpful to reduce the computational complexity and the difficulty of modularized configuration of vulnerability protection. The simulation results of the information physical system of 500 kV power network in central China show the feasibility of the proposed method.
【作者單位】： 武漢大學電氣工程學院;
【基金】：國家自然科學基金資助項目(51477121)~~
【分類號】：TM73

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