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Calculation and Allocation of Operation and Maintenance Cost of Power Grid Project Based on Elastic Net
Author:
Affiliation:

1.School of Economics and Management, North China Electric Power University, Beijing 102206, China;2.State Grid Economic and Technical Research Institute Co., Ltd., Beijing 102209, China

Abstract:

After the reform of transmission and distribution price, the demand for lean management of power grid companies is increasing. The cost of a project has direct impact on investment decisions, so the traditional rugged cost calculation method cannot meet the current demands. To this end, a cost accounting method is proposed. In this method, according to the efficiency idea, the operation and maintenance cost of project is allocated and calculated. Firstly, the Elastic Net algorithm is used to screen the factors affecting the operation and maintenance cost to determine the performance standards of key factors. Secondly, the criteria importance though intercrieria correlation (CRITIC) method is used to measure and calculate the weight. The cost allocation coefficient of a single project is obtained, and then the allocated cost of the project is calculated to realize the accurate measurement of the operation and maintenance cost of the project. Finally, the typical project data of a province in China is selected to verify the proposed model.The results show that the proposed model can more accurately calculate the operation and maintenance cost of the power grid project.

Keywords:

Foundation:

This work is supported by Key Research and Development Project of Hebei Province (No. 19216109D) and State Grid Corporation of China (No. SGHEJY00JJJS1900017).

Get Citation
[1]WANG Yongli, WANG Shuo, ZHENG Yan, et al. Calculation and Allocation of Operation and Maintenance Cost of Power Grid Project Based on Elastic Net[J]. Automation of Electric Power Systems,2020,44(20):165-172. DOI:10.7500/AEPS20200202005
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History
  • Received:February 02,2020
  • Revised:July 01,2020
  • Adopted:
  • Online: October 16,2020
  • Published: