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author:

Wu, X. (Wu, X..) [1] | Xun, C. (Xun, C..) [2] | Fu, L. (Fu, L..) [3] | Jiang, X. (Jiang, X..) [4] | Zhuang, P. (Zhuang, P..) [5] | Xu, X. (Xu, X..) [6] | Jiang, C. (Jiang, C..) [7] | Shao, Z. (Shao, Z..) [8]

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Scopus

Abstract:

In the background of carbon neutrality and carbon peaking, provinces are actively promoting the construction of new-type power system. However, there is currently a lack of quantitative methods for evaluating the construction of new-type power system. In response to this issue, this paper proposes an evaluation method for statistical index of new-type power system based on hierarchical evidential reasoning. Firstly, the subjective and objective weights for the indicators are obtained through analytic hierarchy process and entropy weight method, and the combined weight is obtained through game theory as the final weight of the indicators. Then, the evaluation of each indicator is fused through hierarchical evidential reasoning. Subsequently, using the constructed statistical index system and indicator data of the new-type power system, simulation verification is conducted to quantitatively assess the construction status of the new-type power system in each province. Finally, by comparing and analyzing the construction of new-type power system in Zhejiang, Qinghai, and Fujian provinces, the future development directions of new-type power system construction in Fujian province are suggested.  © 2024 IEEE.

Keyword:

analytic hierarchy process entropy weight method evidential reasoning game theory new-type power system statistical index evaluation

Community:

  • [ 1 ] [Wu X.]Power Research Institute, Development Department Fujian Power Co., Ltd. Electric, Fuzhou, China
  • [ 2 ] [Xun C.]State Grid Fujian Electric Power Co., Ltd, Development Department, Fuzhou, China
  • [ 3 ] [Fu L.]Power Research Institute, Development Department Fujian Power Co., Ltd. Electric, Fuzhou, China
  • [ 4 ] [Jiang X.]Power Research Institute, Development Department Fujian Power Co., Ltd. Electric, Fuzhou, China
  • [ 5 ] [Zhuang P.]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 6 ] [Xu X.]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 7 ] [Jiang C.]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China
  • [ 8 ] [Shao Z.]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, China

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Year: 2024

Page: 462-471

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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