电力建设2024，Vol.45Issue(5)：19-28,10.DOI:10.12204/j.issn.1000-7229.2024.05.003
基于云模型和随机森林的韧性城市电网风险预警模型
Enhanced Risk Warning Model for Resilient Urban Power Grid Using Cloud Model and Random Forest
摘要
Abstract
Resilient urban power grids,while showcasing remarkable adaptability to diverse disturbances and disasters,pose significant challenges in risk warning due to their complexity.This underscores the necessity of integrating advanced technologies such as big data and machine learning.This study proposes a novel approach to resolve these issues.First,a resilient urban power grid risk assessment index system was established,employing a comprehensive weighted approach that combined subjective and objective factors to weigh the indicators.Leveraging real-time data flow obtained through big data technology,dynamic weights for risk assessment indicators were determined.Subsequently,a resilient urban power grid risk assessment standard cloud was developed,and the membership degree of the resilient urban power grid risk level was computed to ascertain the risk level.Finally,a resilient urban power grid risk warning model was formulated using random forest,and a thorough numerical analysis was conducted.Compared with other models,the constructed model exhibited high precision characteristics.The findings demonstrated that the developed model exerted a substantial risk-warning effect,enabling timely implementation of effective risk control measures to ensure the stable operation of resilient urban power grids.关键词
韧性城市电网/云模型/随机森林/风险评估/风险预警Key words
resilient urban power grid/cloud model/random forest/risk assessment/risk warning分类
信息技术与安全科学引用本文复制引用
魏新迟,董佳,时珊珊,李存斌,苏运..基于云模型和随机森林的韧性城市电网风险预警模型[J].电力建设,2024,45(5):19-28,10.基金项目
This work is supported by National Key R&D Program of China(No.2022YFB2405500). 国家重点研发计划青年科学家项目(2022YFB2405500) （No.2022YFB2405500）
国网上海市电力公司科技项目(52094023000N) （52094023000N）
