Economic Evaluation Method of Modern Power Transmission System Based on Improved Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Best-Worst Method-Anti-Entropy Weight

As the demand for power supply increases, the investment in the power transmission system constantly increases. An accurate economic evaluation of the power transmission system is essential for future investment decisions and management. Applying a single method in economic evaluation leads to exces...

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Veröffentlicht in:Energies (Basel) Jg. 16; H. 21; S. 7242
Hauptverfasser: Zeng, Wenhui, Fan, Jiayuan, Ren, Zhichao, Liu, Xiaoyu, Lv, Shuang, Cao, Yuqian, Xu, Xiao, Liu, Junyong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.11.2023
Schlagworte:
anti-entropy weight method
best-worst method (BWM)
Decision making
Discount rates
Economic aspects
economic evaluation
Electric power transmission
Game theory
improved TOPSIS
Internal rate of return
Methods
Nash equilibrium
Net present value
power transmission system
Rankings
Supply and demand
China
ISSN:1996-1073, 1996-1073
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Zusammenfassung:As the demand for power supply increases, the investment in the power transmission system constantly increases. An accurate economic evaluation of the power transmission system is essential for future investment decisions and management. Applying a single method in economic evaluation leads to excessive subjective consciousness and unreasonable weight allocation. The Euclidean distance in the traditional TOPSIS method only partially works on the condition that the criteria are linearly correlated. To solve these problems, an economic evaluation method based on improved TOPSIS and BWM-anti-entropy weight is proposed. For the assignment of weights, the method retains the advantages of subjective and objective weighting methods based on the Nash equilibrium, breaks through the limitation of utilizing a single method, which contributes to one-sided results, and enhances the scientific rigor and rationality of the comprehensive weighting process. Furthermore, based on comprehensive weights, the method improves the TOPSIS by introducing the Mahalanobis distance and Pearson correlation coefficients, which can eliminate the influence of linear correlation. Finally, ten 500 kV transmission and transformation projects are analyzed and ranked to verify the method’s feasibility. Empirical analysis shows that the method can effectively evaluate the economic benefits of the power transmission system.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1996-1073
1996-1073
DOI:10.3390/en16217242