LAPSE:2023.12577
Published Article
LAPSE:2023.12577
A Comprehensive Evaluation Method and Strengthening Measures for AC/DC Hybrid Power Grids
Junli Zhang, Guoteng Wang, Zheng Xu, Zheren Zhang
February 28, 2023
Abstract
Due to the complex operation characteristics of AC/DC hybrid power grids, it is a great challenge to comprehensively evaluate their stability and formulate appropriate strengthening schemes for them. To address this challenge, the following studies are carried out in this paper. First, an evaluation system including six indicators is established for AC/DC hybrid power grids. Next, aiming at the problems that may be revealed by the comprehensive evaluation, strengthening measures that can be utilized are introduced. Then, a comprehensive evaluation method for AC/DC hybrid power grids and their potential strengthening schemes is proposed. This method can deal with three issues, including normalization of the indicators, weighting of the indicators, and the trade-off of technology and cost. Finally, in the case study of the Qujing Power Grid, the main problems faced by regional power grids are pointed out, and four feasible strengthening schemes are formulated and evaluated.
Keywords
AC/DC hybrid power grid, evaluation indicator, strengthening measure, trade-off of technology and cost, weighting method
Suggested Citation
Zhang J, Wang G, Xu Z, Zhang Z. A Comprehensive Evaluation Method and Strengthening Measures for AC/DC Hybrid Power Grids. (2023). LAPSE:2023.12577
Author Affiliations
Zhang J: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Wang G: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Xu Z: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Zhang Z: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Journal Name
Energies
Volume
15
Issue
12
First Page
4432
Year
2022
Publication Date
2022-06-17
ISSN
1996-1073
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Original Submission
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PII: en15124432, Publication Type: Journal Article
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LAPSE:2023.12577
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https://doi.org/10.3390/en15124432
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