Study on Cost-sharing Method of Power Grid Engineering Operation and Maintenance based on DEMATEL Method and Random Forest

The transmission and distribution (T&D) tariff reform raises higher requirements for the control of operation and maintenance (O&M) cost in power grid engineering. By constructing a model analyzing the O&M cost influencing factors, the paper uses an elastic regression analysis and verifies the key influencing factors on O&M cost, including 14 items such as population size, electricity consumption, gross regional product (GRP). And the subjective and objective weights of each influencing factor are analyzed using the DEMATEL method and random forest. Finally, by calculating the combined weight of factors affecting the power grid O&M cost of each local municipal company, the method of O&M cost-sharing is proposed, which can effectively improve the efficiency of operation and maintenance and make the cost-sharing more balanced and reasonable. Through the empirical analysis, the feasibility of this method is proved, which provides an effective reference for the cost-sharing and control of power grid O&M.

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Publication Details

Journal
Scalable Computing Practice and Experience
Published
2025-04-01
DOI
https://doi.org/10.12694/scpe.v26i3.4222
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00

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Study on Cost-sharing Method of Power Grid Engineering Operation and Maintenance based on DEMATEL Method and Random Forest

Kuiyun Zhao, Chao Wang, Guangxiu Yu, Qian Wang et al.
Scalable Computing Practice and Experience
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Study on Cost-sharing Method of Power Grid Engineering Operation and Maintenance based on DEMATEL Method and Random Forest

Kuiyun Zhao, Chao Wang, Guangxiu Yu, Qian Wang, Puyu He, Ming Yang Zhao
article en

Abstract

The transmission and distribution (T&D) tariff reform raises higher requirements for the control of operation and maintenance (O&M) cost in power grid engineering. By constructing a model analyzing the O&M cost influencing factors, the paper uses an elastic regression analysis and verifies the key influencing factors on O&M cost, including 14 items such as population size, electricity consumption, gross regional product (GRP). And the subjective and objective weights of each influencing factor are analyzed using the DEMATEL method and random forest. Finally, by calculating the combined weight of factors affecting the power grid O&M cost of each local municipal company, the method of O&M cost-sharing is proposed, which can effectively improve the efficiency of operation and maintenance and make the cost-sharing more balanced and reasonable. Through the empirical analysis, the feasibility of this method is proved, which provides an effective reference for the cost-sharing and control of power grid O&M.

Scalable Computing Practice and ExperienceVol. 26(3)
State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
State Grid Corporation of China
Openalex Percentile: Top 92%
Regional Development and Environment
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