Open AccessResearch on regional adjustment method of power grid operation and maintenance cost level based on information entropy considering multiple differences
Author(s) -
Yudong Mao,
Lin Ma,
Yan Ren,
Ruigang Tong,
Jia Liu,
Si Zhang,
Lei Zhao,
Jinpeng Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/680/1/012050
Subject(s) - grid , computer science , entropy (arrow of time) , reliability engineering , operating cost , power grid , operations research , mathematical optimization , risk analysis (engineering) , power (physics) , engineering , business , mathematics , physics , geometry , quantum mechanics , waste management
Scientific investment in asset operation and maintenance is a key issue for grid companies. The current grid operation and maintenance cost level is affected by multiple factors such as the natural environment and the market environment. How to combine the actual differences in different regions to propose an adjustment and optimization method for the grid operation and maintenance cost level can further improve the level of precision investment in operation and maintenance costs, and better Facing the operating shock brought by the complicated internal and external situation. This paper first uses the system dynamics model to identify the factors affecting the operation and maintenance cost of power grid assets from different dimensions such as the natural environment and the market environment, clarifies the impact mechanism from different perspectives such as quantity and price, and determines the input variables for the analysis of the difference in operation and maintenance cost levels, combined with the results of variable selection, information entropy theory is introduced to construct an adjustment and optimization model based on information entropy. Finally, empirical research is conducted in different regions, and the results show that the model can provide theoretical support and method reference for the reasonable determination and dynamic adjustment of operation and maintenance cost level under the requirements of precise investment management and control.