信息网受损对电网过载主导型连锁故障的影响

发布时间：2018-07-10 02:34

本文选题：电力信息网 + 受损程度　；参考：《电力系统自动化》2017年13期

【摘要】：信息网是实现信息系统功能的基础,信息网不同程度受损导致信息系统功能呈现多态性,影响电力系统的灾变应急能力。研究信息网受损对电网连锁故障的影响,是保证现代电网安全运行的重要课题。以信息系统的监视和控制功能为切入点,建立考虑信息网受损影响的电网连锁故障模型;结合信息网结构和信息系统功能受损程度量化指标,分析不同信息网受损程度对电网连锁故障的影响;从失效边群体区域分布和个体重要性角度,对比研究了几种信息边失效方式下,信息网受损对电网连锁故障的影响。对IEEE 30节点系统的仿真表明,信息网受损削弱了系统抑制电网连锁故障传播的能力,导致连锁故障蔓延;当电网处于重负载水平时,信息网受损对电网连锁故障的影响更为显著;不同信息边失效方式下电网连锁故障规模差异明显,信息网结构脆弱性是影响电网连锁故障传播的重要因素。
[Abstract]:Information network is the foundation of realizing the function of the information system. The damage of information network to different degrees leads to the polymorphism of the information system, which affects the disaster emergency ability of the power system. It is an important task to ensure the safe operation of the modern power grid. At the point of point, the cascading failure model of Power Grid Considering the damage of the information network is established, and the influence of the damage degree of different information network on the cascading failure of the power grid is analyzed by combining the information network structure and the quantitative index of the damage degree of the information system, and several information side failure modes are compared from the point of view of the area distribution and the individual importance of the failure edge group. The influence of the information network damage to the cascading failure of the power grid. The simulation of the IEEE 30 node system shows that the damage of the information network weakens the ability of the system to suppress the transmission of the cascading failures of the power grid and leads to the spread of the cascading failures; when the grid is in heavy load level, the damage of the information network is more significant to the cascading failure of the power grid; the different information edge failure modes The scale of the cascading failures of the next power grid is obviously different. The vulnerability of the information network structure is an important factor that affects the cascading failures of the power grid.
【作者单位】：四川大学电气信息学院;云南电力科学研究院;
【分类号】：TM73

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