Study on power grid characteristics in summer based on Linear regression analysis

2018 2nd International Workshop on Renewable Energy and Development

能源学;经济学

Tang, Jin-Hui^1 ; Liu, You-Fei^2 ; Liu, Juan^1 ; Liu, Qiang^3 ; Liu, Zhuan^1 ; Xu, Xi^1

State Grid JiangXi Electric Power Research Institute, Nanchang, Jiangxi Province

330096, China^1

State Grid JiangXi Electric Power CO.LTD., Jiangxi Province, Nanchang

330077, China^2

State Grid JiangXi InformationandTelecommunication CO.LTD., Jiangxi Province, Nanchang

330077, China^3

关键词: Correlation analysis;    Distribution network operation;    Electricity load;    Jiangxi Province;    Linear correlation model;    Linear regression models;    Load predictions;    Maintenance work;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/4/042040/pdf
DOI  :  10.1088/1755-1315/153/4/042040

来源: IOP

【 摘 要 】

The correlation analysis of power load and temperature is the precondition and foundation for accurate load prediction, and a great deal of research has been made. This paper constructed the linear correlation model between temperature and power load, then the correlation of fault maintenance work orders with the power load is researched. Data details of Jiangxi province in 2017 summer such as temperature, power load, fault maintenance work orders were adopted in this paper to develop data analysis and mining. Linear regression models established in this paper will promote electricity load growth forecast, fault repair work order review, distribution network operation weakness analysis and other work to further deepen the refinement.