Abstract

Power grid investment behavior (PGIB) is a necessary prerequisite to ensure safe and reliable power supply. The supervision of PGIB is an important measure to reduce electricity price. It helps to release the dividends of the new power system reform and promote the sustainable development of the power industry. However, for a long time, China’s regulation of PGIB was relatively weak, lacking clear supervision awareness and effective supervision methods. On the basis of clarifying the contents of PGIB supervision, this paper establishes an evaluation index system for the compliance of PGIB from the government supervision perspective, involving four dimensions and 14 secondary indicators. Furthermore, a hybrid evaluation model based on the combined decision-making trial and evaluation laboratory method (DEMATEL-ANP), analytical network process method, and vague set is proposed. The results reveal that the control over cost and efficiency of the PGIB in China is not enough. According to the results, this paper puts forward the indicators that close attention should be paid to and the work priorities in China’s supervision of PGIB, which has certain practical value for the implementation of new power system reform and the sustainable development of Chinese power industry.

Highlights

  • Power grid investment behavior (PGIB) is the core business of power grid enterprises, the basis of the stable operation of power systems, and an important guarantee for social and economic development

  • For the evaluation index U11 in sub-evaluation index system U1, four experts thought that Project 1 completely met supervision requirements, nine experts thought that the project relatively met supervision requirements, four experts thought that the project barely met supervision requirements, one expert thought that the project relatively could not meet supervision requirements, no expert thought that the project completely could not meet supervision requirements, and two experts abstained

  • China’s power electricindustry power system reform, it will bedevelopment an urgent taskoftosocial promote the healthy development of the and the high-quality promote the healthy development of the electric power and the high-quality development of economy to strengthen the government’s supervision of theindustry power grid

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Summary

Introduction

Power grid investment behavior (PGIB) is the core business of power grid enterprises, the basis of the stable operation of power systems, and an important guarantee for social and economic development. In the context of strengthening the supervision on PGIB, this paper clarifies the content of supervision on investment behavior of power grid, which provides premise hypothesis and evaluation basis for the establishment and application of evaluation model On this basis, an evaluation index system is constructed, which involves four evaluation dimensions, that is, construction scale, cost level, operating efficiency and investment benefit, which can fully reflect the situation of PGIB. 2) By using DEMATEL-ANP and a fuzzy evaluation method based on vague set, a hybrid evaluation model is constructed, which can fully consider the correlation among the indicators, and is applicable to China’s current situation where it is difficult to collect relate information of PGIB. The rest of this paper is organized as follows: Section 2 describes the concept and content of the supervision of PGIB; Section 3 introduces the evaluation index system and the proposed hybrid evaluation model; Section 4 represents the evaluation results of two certain PGIB projects, and carries out the sensitivity analysis of evaluation results to verify the feasibility and stability of the model; Section 5 summarizes the research contents and findings of this paper

The Concept of the Supervision of PGIB
The Contents of the Supervision of PGIB
Constructing the Evaluation Index System
Indicator Weight Determination Method Based on DEMATEL-ANP
Fuzzy Comprehensive Evaluation Based on Vague Set
Overview of the Cases
The Results of Indicator Weight
Fuzzy Evaluation Results of Project 1
Evaluation Dimension
Fuzzy Evaluation Results of Project 2
Sensitivity Analysis
Conclusions
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