飞轮
储能
飞轮储能
控制理论(社会学)
可靠性(半导体)
风力发电
可再生能源
基质(化学分析)
功率(物理)
控制工程
理论(学习稳定性)
工程类
计算机科学
汽车工程
拓扑(电路)
控制(管理)
电气工程
材料科学
物理
人工智能
复合材料
机器学习
量子力学
作者
Junfeng Lai,Yongduan Song,Xiaoqiang Du
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2017-01-16
卷期号:23 (1): 48-56
被引量:42
标识
DOI:10.1109/tmech.2017.2654067
摘要
Flywheel energy storage technology plays an important role in enhancing the operation reliability and efficiency of wind power generation farms. This work investigates an aggregated connection topology of flywheel energy storage matrix system, which is composed of multiple flywheel energy storage system (FESS) units within a wind farm. Based on this architecture, an effective charge/discharge strategy is introduced in order to ensure cooperative operation among flywheels, so as to realize smooth power transients, quality regulation, and voltage restoration. For each FESS unit, a structurally simple and computationally inexpensive neural-adaptive proportional integration derivative (PID) control algorithm based on Lyapunov stability theory is developed to control each flywheel individually in coordinated and stable manner. The merits and benefits of the proposed method are validated and demonstrated by both numerical simulations and experimental results.
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