Comprehensive Evaluation and Scheme Optimization for Power Transmission and Transformation Projects with the Adoption of Carbon Reduction Technologies

Shuyuan Zhao, Heng Chen (), Chengyu Jia, Yinan Wang, Cheng Xin and Xue Jiang
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Shuyuan Zhao: School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Heng Chen: School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Chengyu Jia: School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Yinan Wang: School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Cheng Xin: State Grid Economic and Technical Research Institute Co., Ltd., Beijing 102209, China
Xue Jiang: Economic and Technical Research Institute of State Grid Liaoning Electric Power Co., Shenyang 110015, China

Energies, 2024, vol. 17, issue 3, 1-20

Abstract: To investigate the economic impact of carbon reduction technology on power transmission and transformation projects, carbon reduction technologies adapted to power transmission and transformation projects were investigated, and the evaluation indicator system for cost-benefit in power transmission and transformation projects was established based on AHP (Analytic Hierarchy Process) and EWM (Entropy Weight Method). Taking 110 kV and 220 kV transmission and transformation projects in a province located in northwest China as an example, a sensitivity analysis was carried out for the weight of each carbon reduction technology. Additionally, based on the evaluation indicator system, eight alternative carbon reduction schemes were proposed, and the net present value and scheme scores were analyzed with TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). The results showed that in the criterion layer of the 110 kV case, the highest proportion of weight is “high-efficiency transformer”, accounting for 34.12%, and in the indicator layer, the highest proportion of weight is “ parasitic losses”, accounting for 12.35%. After conducting error analysis on the 110 kV and 220 kV cases, it was found that the errors were within an acceptable range both in the criterion layer and index layer. Moreover, it is expected to achieve greater economic benefits through lower costs according to Scheme VI, and due to the limitations of carbon reduction technologies and the lack of a relevant policy system, it is difficult to achieve the goal of covering costs with benefits for the eight schemes studied.

Keywords: transmission and transformation project; carbon reduction technology; hierarchical analysis method; entropy weight method; TOPSIS; high-efficiency transformer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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