首页|考虑停运概率熵和网架结构熵的电网关键线路辨识方法

考虑停运概率熵和网架结构熵的电网关键线路辨识方法

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线路停运概率对连锁故障的触发和演化具有重要影响.然而,现有关于电网线路停运概率分布均衡性的研究存在考虑不足的问题.文中结合复杂网络理论分析方法与熵理论,提出综合考虑停运概率熵和网架结构熵的电网关键线路辨识方法,旨在量化线路在电网运行状态和网络状态层面的综合影响力.首先,基于线路停运概率模型,提出了停运概率分布熵与停运概率变化熵指标,区分了线路潮流在正常值范围内、正常值与极限值之间和大于极限值3个状态对辨识结果的影响,克服了现有指标中对直接影响线路故障因素考虑欠缺的不足.其次,结合改进网架结构熵,提出了反映电网网架结构和运行状态的关键线路综合指标.然后,结合功率平衡策略,提出电网关键线路辨识方法.最后,基于改进网络效能指标对IEEE 39节点系统和IEEE 118节点系统进行仿真,验证了所提方法的可行性和正确性.
Identification Method for Key Lines of Power Grid Considering Outage Probability Entropy and Grid Structure Entropy
The probability of line outages exerts a crucial influence on the triggering and evolution of cascaded failures.However,the existing study regarding the equilibrium of the distribution of line outage probabilities in power grids suffers from insufficient considerations.In this paper,by integrating the analysis methods of complex network theory and entropy theory,a method for identifying key lines in power grids that comprehensively considers the entropy of outage probability and the entropy of grid structure is proposed,aiming to quantify the comprehensive influence of lines at the levels of the operational state and network state of the power grid.Firstly,based on the line outage probability model,the indicators of the entropy of outage probability distribution and the entropy of outage probability variation are put forward,differentiating the influence of the three states of line power flow within the normal range,between the normal and limit values,and greater than the limit value on the identification results,overcoming the deficiency of insufficient consideration of the direct factors affecting line faults in the existing indicators.Secondly,combined with the improved entropy of grid structure,a comprehensive indicator of key lines reflecting the grid structure and operation state of the power grid is proposed.Then,in combination with the power balance strategy,a method for identifying key lines in the power grid is proposed.Finally,based on the improved network efficiency indicator,simulations are conducted on the IEEE 39-bus system and IEEE 118-bus system,which verify the feasibility and correctness of the proposed method.

line identificationcomplex networkcascaded failureentropyoutage probabilitynetwork effectiveness

潘松、李长城、康海鹏、黄思琪、苏子扬、张玺

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广西电力系统最优化与节能技术重点实验室(广西大学),广西壮族自治区南宁市 530004

电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240

线路辨识 复杂网络 连锁故障 停运概率 网络效能

2025

电力系统自动化
国网电力科学研究院

电力系统自动化

北大核心
影响因子:3.068
ISSN:1000-1026
年,卷(期):2025.49(1)