南方电网技术2025，Vol.19Issue(8)：20-30,11.DOI:10.13648/j.cnki.issn1674-0629.2025.08.003
基于改进规范切与安全风险指标的关键输电断面辨识方法
Key Transmission Section Identification Method Based on Improved Normalized Cut and Security Risk Index
摘要
Abstract
Aiming at the problem that key transmission sections of the power grid are frequently transferred and difficult to identify quickly and accurately in large-scale renewable energy grid connection scenarios,a key transmission section identification method based on improved normalized cut and security risk index is proposed.A weighted graph of network topology is constructed based on spectral graph theory,considering the influences of node voltage and branch power flow factors when assigning weights to branches.This aims to comprehensively reflect the electrical connectivity between nodes.The network is partitioned using an improved spectral clustering algorithm based on normalized cut,and for the transmission section formed between partitions,key transmission sections are selected using security risk index.The results from case studies on the IEEE 39-bus system and Guangdong Power Grid indicate that the proposed method can accurately and effectively identify key transmission sections within the system and assess their risk of exceeding limits.Moreover,it can identify some unrecognized key transmission sections in multi-scenario applications in the actual power grid.关键词
新能源并网/电网分区/关键输电断面/规范切/安全风险指标Key words
renewable energy integration/power grid partition/key transmission section/normalized cut/security risk index分类
信息技术与安全科学引用本文复制引用
林继良,刘敏,刘晓欣..基于改进规范切与安全风险指标的关键输电断面辨识方法[J].南方电网技术,2025,19(8):20-30,11.基金项目
国家重点研发计划资助项目(2022YFB2403500).Supported by the National Key Research and Development Program of China(2022YFB2403500). （2022YFB2403500）
