Construction and Application Practice of Early Warning Model for Investment Progress of Electricity Grid Construction Projects. Issue 1 (April 2020)

• Record Type: Journal Article
• Authors: Gao, Qian; Yang, Junyi; Liu, Kai; Jin, Cheng; Wang, Jing; Huang, He; Tang, Jie; Li, Shaoqiang; Dai, Keli
• Is Part Of: IOP conference series. Volume 461:Issue 1(2020)
• Publication Date: 2020-04
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/461/1/012012
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: As the reform of transmission and distribution prices moves from the "construction mechanism" to the "strong supervision" stage, the authenticity and effectiveness of the grid investment plan implementation during the supervision cycle will definitely be the focus of external supervision. This will also directly affect the approval of the permitted revenue of grid companies in the next regulatory period. This paper takes the 110kV and above electricity grid construction projects as the research object, and constructs an early warning model for the progress of investment in electricity grid construction projects to identify and quantify the management and data problems existing in the project construction process, promote collaborative management of electricity grid construction projects and improve the authenticity and reliability of investment completion statistics.