电测与仪表2025，Vol.62Issue(5)：106-110,119,6.DOI:10.19753/j.issn1001-1390.2025.05.013
基于可再生能源大数据的非侵入式电网负荷特性研究
Research of non-intrusive grid load profile based on big data of renewable energy
摘要
Abstract
Grid expansion planning is a key issue of the construction of current smart grid.Considering the characteristics of grid expansion planning problem,a scheme for non-intrusive grid load profile modeling con-sidering big data of regional renewable energy is proposed.Based on autoregressive model reflecting temporal linear relations,this method depicts the load at the user end.Furthermore,considering the mass introduction of renewable energy including photovoltaic units and wind power generator in future grid expansion,the mete-orological characteristics is integrated into the calculation of load profile.Experimental results on real world da-ta indicate the validity of the proposed model for the representation of load profile,and the reference value for grid expansion planning.关键词
电网规划/智能电网/气象大数据/负荷特性Key words
grid planning/smart grid/meteorological big data/load profile分类
信息技术与安全科学引用本文复制引用
崔树春,李海涛,杨永标..基于可再生能源大数据的非侵入式电网负荷特性研究[J].电测与仪表,2025,62(5):106-110,119,6.基金项目
国家电网公司科技项目(5108-202018028A-0-0-00) （5108-202018028A-0-0-00）
