摘要
电力系统状态持续变化,会引起系统潮流状态与拓扑的明显差异,无法实现对离线与静态状态进行辩识的功能。为实现不同系统结构下的关键线路高效识别,选择分布因子相关度指标评价不同线路间的关联性能够达到快速识别系统故障情况下的关键线路。研究结果表明:通过IEEE 39节点的算例分析可知,利用所提方法能够达到对电力系统关键线路准确识别的效果;绝对潮流因子能够实现全面辨识的结果,从而准确辨识静态关键线路;分布因子相关度指标可以实现较快的计算速度,满足动态关键线路的辨识要求。设计方法对提高电力系统脆弱性辩识效果具有很好的实际应用和推广价值。
The continuous changes in the state of the power system will cause significant differences between the power flow state and topology of the system, which can not satisfy the function of identifying the offline and static states. In order to achieve efficient identification of key lines under different system structures, the distribution factor correlation index was selected to evaluate the correlation between different lines, which can quickly identify the key lines in the case of system failures. The research results show that: through the analysis of the IEEE 39 node example, it can be known that the proposed method can achieve the effect of accurately identifying the key lines of the power system. The absolute power flow factor can achieve the result of comprehensive identification, so as to accurately identify the static key line;the distribution factor correlation index can achieve a fast calculation speed and meet the identification requirements of the dynamic key line. This design method has very good practical application and promotion value for improving the effect of power system vulnerability identification.
作者
章剑光
张永建
Zhang Jianguang;Zhang Yongjian(State Grid Shaoxing Power Supply Company,Shaoxing Zhejiang 312000,China;College of Electrical Engineering,Zhejiang University,Hangzhou Zhejiang 310063,China;School of Electrical Engineering,Chongqing University,Chongqing 400000,China)
出处
《电气自动化》
2023年第1期36-38,共3页
Electrical Automation
基金
浙江省科技项目资助项目(CG042605-DMSJΥ)“绍兴城区配电网网架脆弱度智能诊断分析”。
关键词
电力系统
绝对潮流因子
脆弱性
辩识能力
算例分析
power system
absolute tidal current factor
vulnerability
discernment ability
example analysis
