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Analysis of typical operation scenarios of Hunan power system based on improved K-means method

Published: 01 June 2024 Publication History

Abstract

The development of China's economy and the goal of building the new power system will greatly change the operating characteristics of the power system. Considering that Hunan Province has limited resource endowment, has been the receiving end of the power grid for a long time, and the load level has been increasing year by year, it is very necessary to cluster and analyze its typical operating scenarios. This paper proposed an improved K-means method and clustered the power system operation data of Hunan Province for 232 weeks from 2019 to 2023, and obtained seven typical operation scenarios. Finally, each typical operating scenario is analyzed and its characteristics and reasons for occurrence are discussed.

References

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Central Committee of the Communist Party of China. Scientific construction of new power systems [EB/OL]. [2023-7-24] https://www.gov.cn/zhengce/202307/content_6893783.htm
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National Energy Administration. The National Energy Administration organized the release of the "Blue Book on the Development of New Power Systems" [EB/OL]. [2023-6-2] http://www.nea.gov.cn/2023-06/02/c_1310724249.htm
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Hunan Provincial People's Government. "Hunan Province Energy Development Report 2022" announced that new energy has become the mainstay of the growth of our province's power installed capacity [EB/OL]. [2023-6-28] http://www.hunan.gov.cn/hnszf/hnyw/zwdt/202306/t20230628_29385910.html
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    AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum
    September 2023
    577 pages
    ISBN:9798400716362
    DOI:10.1145/3660395
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 01 June 2024

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