新能源发电与储能系统大数据技术的研究进展、趋势与展望

Jichao Hong , Fengwei Liang , Haixu Yang
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引用次数: 2

摘要

新能源产业的发展是社会可持续发展的重要保障,大数据技术可以赋能新能源产业化。本文首先对大数据技术在新能源电力和储能系统中的应用进行了深入的分析和探讨。此外,从发电、电网和用户端三个方面讨论了大数据技术应用的现状,并根据大数据技术的特点提出了未来的发展趋势。最后,提出了一个基于云平台的新能源电力和储能综合系统,该系统将新能源发电、消费和输电侧高效结合,优化能源配置,提高能源利用效率。本文旨在为新能源的研究和应用提供一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research progress, trends and prospects of big data technology for new energy power and energy storage system

The development of new energy industry is an essential guarantee for the sustainable development of society, and big data technology can enable new energy industrialization. Firstly, this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage systems. Furthermore, the current status of big data technology application is discussed based on power generation, grid and user side, while future development trends are proposed based on the characteristics of big data technology. Finally, a comprehensive cloud-platform-based new energy power and energy storage system is proposed, which efficiently combines new energy power generation, consumption, and transmission sides to optimize energy allocation and improve energy utilization efficiency. This paper aims to provide certain guidance significance for new energy research and application.

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