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- W4383098021 abstract "A high proportion of renewable energy is the basic feature of the novel power system, which leads to the problems of power grid planning, such as increased fluctuations in trends and growing numbers of planning objectives. Therefore, it is crucial to improve the adaptability of planning schemes to establish a foundation for the economic, reliable, and safe operation of the novel power system. In view of this, this paper proposes an evaluation framework of the adaptability of power grid planning schemes with high proportion of renewable energy. Firstly, the impact of high proportion of renewable energy on power grid planning is analyzed, and an adaptability evaluation index system for power grid planning schemes is established based on five dimensions: economic adaptability, energy structure adaptability, grid structure adaptability, reliability adaptability, and environmental adaptability. Secondly, an improved AHP-CRITIC method, combined with the TOPSIS method, is proposed for power grid adaptability evaluation. This innovative approach effectively combines objective index data with subjective decision-making, enhancing the overall evaluation process for the adaptability of practical power grid planning. Finally, the effectiveness of the proposed evaluation method is validated through the analysis of 14th Five-Year Plan for Power Grid Planning in three regions of a province, the adaptability evaluation shows that reliability adaptability and grid structure adaptability have greater influence on power grid planning adaptability, but the impact of environmental adaptability is the smallest." @default.
- W4383098021 created "2023-07-05" @default.
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- W4383098021 date "2023-05-05" @default.
- W4383098021 modified "2023-10-14" @default.
- W4383098021 title "Adaptability Evaluation of Power Grid Planning Scheme Based on Improved AHP-CRITIC-TOPSIS with High Proportion of Renewable Energy" @default.
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- W4383098021 doi "https://doi.org/10.1109/icpst56889.2023.10165456" @default.
- W4383098021 hasPublicationYear "2023" @default.
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