Dynamic comprehensive assessment of power development based on provincial data

Wei Hu; Qiuting Guo; Yifan Zhou; Yi Kang; Huanshuai Bing; Dan Bao

doi:10.17775/CSEEJPES.2018.00910

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Dynamic comprehensive assessment of power development based on provincial data

Regular Papers | 更新时间：2026-10-15

- Dynamic comprehensive assessment of power development based on provincial data
- CSEE Journal of Power and Energy Systems Vol. 6, Issue 3, Pages: 672-680(2020)
- 作者机构：
  
  1. Department of Electrical Engineering, Tsinghua University,Beijing,China
  2. Central Southern China Electric Power Design Institute, China Power Engineering Consulting Group Corporation,Wuhan,China
  3. Northeast Branch, State Grid Corporation of China,Shenyang,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2018.00910
  CLC：
- Published：01 September 2020
- 稿件说明：
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Wei Hu, Qiuting Guo, Yifan Zhou, et al. Dynamic comprehensive assessment of power development based on provincial data[J]. CSEE Journal of Power and Energy Systems, 2020, 6(3): 672-680.
DOI：

Wei Hu, Qiuting Guo, Yifan Zhou, et al. Dynamic comprehensive assessment of power development based on provincial data[J]. CSEE Journal of Power and Energy Systems, 2020, 6(3): 672-680. DOI： 10.17775/CSEEJPES.2018.00910.

摘要

Abstract

Dynamic comprehensive assessment of regional power industry development levels is of paramount importance for understanding the development characteristics and potential of the local power industry. A tri-level evaluation index system is established

describing five aspects of the local power industry development level

specifically

the coordination degree between the power industry and economy/energy

power generation

power consumption

power supply and development potential. A combination of information entropy and the analytic hierarchy process (AHP) is used to establish a static evaluation model

and a blend of subjective opinions and objective data information is then realized. By aggregating the static evaluation model for each time period based on a time-ordered weighting vector calculated using time-ordered information entropy

a dynamic comprehensive evaluation model of power industry development level is established. By considering provincial data from China recorded during 2007 to 2016 as the sample set

through synchronic and diachronic comparisons of the evaluation results

the differences

characteristics and potential of local power industry development in China are explored.

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