Evaluation of Smart Grid Comprehensive Development Level Based on Combination Weighting Method and Improved Grey Relational Analysis

Liu, Lin; Song, Chengze; Wu, Junyong; Wang, Xue

doi:10.1109/ciced.2018.8592540

Cited by 1 publication

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“…The assessment process has been applied in a number of research areas such as smart grids and active distribution grids [14,21], all of which have achieved more objective and com-prehensive assessment results, with good theoretical guidance and practical value, and the method has strong stability as well as good generalisability. Electric vehicle charging load is a new type of electrical load.…”

Section: Index System For Assessing the Ability Of Distribution Network To Accept Evsmentioning

confidence: 99%

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

Zhang

Sun

Yang

2021

IET Generation Trans & Dist

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This study proposes a TOPSIS-based method for assessing the ability of distribution networks to accept electric vehicles. This method establishes an assessment index system in terms of the rationality, safety, and economy of the distribution network operation, and assesses the capacity of the distribution network in all aspects. Firstly, a fuzzy theory-based model of users' charging psychology under the influence of time-of-use electricity price was constructed, and the spatio-temporal distribution of EV charging loads in the target area was predicted using travel chain theory and Monte Carlo methods. Secondly, considering the rationality, safety and economy of the distribution network operation, a comprehensive evaluation index system for acceptability has been constructed. Then, a comprehensive weighting method for evaluation indexes based on AHP and entropy weight method is proposed, and the improved TOPSIS is used to evaluate the acceptance capacity of the distribution network when EV charging loads are connected in different ways. Finally, a typical IEEE33 distribution network is used to simulate the time and space distribution of the charging load, and taking the charging load access schemes proposed in this paper to verify the effectiveness of the evaluation method. INTRODUCTIONWith the growing energy and environmental problems, electric vehicles, which have the advantages of being efficient and clean, are being promoted by governments around the world. Global EV ownership exceeds 10 million for the first time in 2020. Among them, the growth trend of new energy EV ownership in China is more obvious, with 4.92 million new energy vehicles nationwide by the end of 2020, accounting for 1.75% of the total number of vehicles, an increase of 1.11 million vehicles or 29.18% over 2019. With further requirements for the construction of new energy vehicles and charging facilities in the 14th Five-Year Plan, EV access is expected to exceed 20 million by the end of the 14th Five-Year Plan. According to the National Development and Reform Commission's Energy Research Institute and National Renewable Energy Centre projections (2017), as of 2025, EVs across society would ideally beThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Index System For Assessing the Ability Of Distribution Network To Accept Evsmentioning

confidence: 99%

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

Zhang

Sun

Yang

2021

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

Evaluation of Smart Grid Comprehensive Development Level Based on Combination Weighting Method and Improved Grey Relational Analysis

Cited by 1 publication

References 0 publications

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

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