储能科学与技术 ›› 2024, Vol. 13 ›› Issue (6): 1983-1985.doi: 10.19799/j.cnki.2095-4239.2024.0454

• 储能系统与工程 • 上一篇    下一篇

飞轮储能系统的计算机处理技术研究

马海凤(), 李文博, 蔡宗慧, 刘琳, 于彤   

  1. 秦皇岛职业技术学院，河北 秦皇岛 066100
  • 收稿日期:2024-05-23 修回日期:2024-06-12 出版日期:2024-06-28 发布日期:2024-06-26
  • 通讯作者: 马海凤 E-mail:haifengma872@163.com
  • 作者简介:马海凤（1987－），女，硕士，讲师，主要研究方向为计算机科学与技术，E-mail：haifengma872@163.com。

Research on computer processing technology of flywheel energy storage system

Haifeng MA(), Wenbo LI, Zonghui CAI, Lin LIU, Tong YU   

  1. Qinhuangdao Vocational and Technical College, Qinhuangdao 066100, Hebei, China
  • Received:2024-05-23 Revised:2024-06-12 Online:2024-06-28 Published:2024-06-26
  • Contact: Haifeng MA E-mail:haifengma872@163.com

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摘要：

目前能源消费与能源发展下的环保问题是我国能源研究的核心，飞轮储能功率较高且操作技术相对直接不会造成环境污染，是一种较为先进的储能技术。本文综述了飞轮储能系统的核心结构，包括飞轮转子结构以及飞轮轴承结构；同时历数了当前较为先进的针对飞轮储能电机控制的计算机处理控制技术，以期为后续研究提供一定思路。

关键词: 飞轮储能, 控制技术, 计算机, 网络

Abstract:

Currently, environmental protection issues under energy consumption and development are the core of energy research in China. Flywheel energy storage technology is simple and direct, with the advantages of high power and high energy storage density. There are basically no restrictions on charging and discharging times and environmental pollution, making it a relatively advanced energy storage technology. The article provides an overview of the core structure of flywheel energy storage systems, including the flywheel rotor structure and flywheel bearing structure; At the same time, the current advanced computer processing control technologies for flywheel energy storage motor control were listed, including flywheel energy storage control technology under fuzzy logic, flywheel energy storage control technology based on BP neural network, and energy storage control technology under particle swarm optimization algorithm.

Key words: flywheel energy storage, control technology, computers, network

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