储能科学与技术 ›› 2024, Vol. 13 ›› Issue (10): 3566-3568.doi: 10.19799/j.cnki.2095-4239.2024.0817

• 储能系统与工程 • 上一篇    下一篇

互联网+背景下风光储能一体化智慧能源设计研究

赵兮()   

  1. 河南艺术职业学院公共教学部,河南 郑州 451464
  • 收稿日期:2024-09-04 修回日期:2024-09-23 出版日期:2024-10-28 发布日期:2024-10-30
  • 通讯作者: 赵兮 E-mail:mr_zhao_hp@126.com
  • 作者简介:赵兮(1980—),男,硕士,讲师,研究方向为计算机技术,E-mail: mr_zhao_hp@126.com

Research on smart energy design of wind and solar energy storage integration in the context of Internet plus

Xi ZHAO()   

  1. Public Education Department of Henan Vocational College of Art, Zhengzhou 451464, Henan, China
  • Received:2024-09-04 Revised:2024-09-23 Online:2024-10-28 Published:2024-10-30
  • Contact: Xi ZHAO E-mail:mr_zhao_hp@126.com

摘要:

随着可再生能源的快速发展和能源结构的转型,风光储能技术成为实现能源可持续利用的重要手段。智慧能源作为一种集成了物联网、大数据、云计算等现代信息技术的新型能源形态,其在风光储能领域的应用逐渐展现出巨大的潜力和价值。对此本文详细综述分析了互联网背景下风光储能的智慧能源设计,在充分阐述了智慧能源与风光储能技术发展进程的基础上,从智慧能源在风光储能中的优化调度、储能管理以及并网控制三个方面详细探讨了风光储能的一体化能源设计模式,以期为风光储能技术的进一步发展提供有益参考。

关键词: 风光储能, 智慧能源, 网络, 调度优化

Abstract:

With the rapid development of renewable energy and the transformation of energy structure, wind and solar energy storage technology has become an important means to achieve sustainable energy utilization. Smart energy, as a new form of energy that integrates modern information technologies such as the Internet of Things, big data, and cloud computing, has gradually shown enormous potential and value in the field of wind and solar energy storage. This paper summarizes and analyzes the smart energy design of wind and solar energy storage under the Internet background in detail. On the basis of fully describing the development process of smart energy and wind and solar energy storage technology, this paper discusses the integrated energy design mode of wind and solar energy storage from three aspects of optimal scheduling, energy storage management and grid connection control of smart energy in wind and solar energy storage, in order to provide a useful reference for the further development of wind and solar energy storage technology.

Key words: wind and solar energy storage, smart energy, network, scheduling optimization

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