Open Access

ARTICLE

Research on Post Evaluation of Mechanized Construction in Power Transmission and Transformation Projects with Game Theory and Fuzzy Grey Projection

Mingchen Gao^*

Zhejiang Electric Transmission & Transformation Engineering Corporation, Hangzhou, 310016, China

* Corresponding Author: Mingchen Gao. Email:

(This article belongs to the Special Issue: Advanced Analytics on Energy Systems)

Energy Engineering 2025, 122(8), 3243-3263. https://doi.org/10.32604/ee.2025.065957

Received 26 March 2025; Accepted 20 May 2025; Issue published 24 July 2025

Abstract

Currently, the international economic situation is becoming increasingly complex, and there is significant downward pressure on the global economy. In recent years, China’s infrastructure sector has experienced rapid growth, with the structure of its power engineering business gradually shifting from traditional infrastructure construction to more diversified areas such as production and operation, as well as emergency repairs. As a result, the transformation of mechanized construction in power transmission and transformation projects has become increasingly urgent. This article proposes a post-evaluation model based on game theory to improve comprehensive weighting and fuzzy grey relational projection sorting, which can be used to evaluate the optimal mechanized construction scheme for power transmission and transformation projects. The model begins by considering the entire lifecycle of power transmission and transformation projects. It constructs a post-evaluation index system that covers the planning and design stage, on-site construction stage, operation and maintenance stage, and the decommissioning and disposal stage, with corresponding calculation methods for each index. The fuzzy grey correlation projection sorting method is then employed to evaluate and rank the construction schemes. To validate the model’s effectiveness, a case study of a power transmission and transformation project in a specific region of China is used. The comprehensive benefits of three proposed mechanized construction schemes are evaluated and compared. According to the evaluation results, Scheme 1 is ranked the highest, with a membership degree of 0.870945, excelling in sustainability. These results suggest that the proposed model can effectively evaluate and make decisions regarding the optimal mechanized construction plan for power transmission and transformation projects.

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