Power Management of Battery Energy Storage System Using Model Free Adaptive Control

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI:10.1109/DDCLS.2018.8516079
Weiming Zhang, Dezhi Xu, X. Lou, Wenxu Yan, Weilin Yang
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引用次数: 4

Abstract

A novel adaptive control strategy based on input/output (I/O) data is proposed in this paper to solve the problem of power management of battery energy storage system (BESS). In the proposed control strategy, a time-varying parameter named pseudo-partial derivative (PPD) parameter utilized in dynamic linearization is estimated by an adaptive observer. Besides, the input saturation problem is considered and a compensation signal is added to consummate the anti-windup control algorithm. Finally, simulation results are presented to validate the effectiveness and performance of the proposed control strategy.
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基于无模型自适应控制的电池储能系统电源管理
针对电池储能系统的电源管理问题，提出了一种基于输入/输出(I/O)数据的自适应控制策略。在该控制策略中，利用自适应观测器估计动态线性化中使用的时变参数伪偏导数参数。此外，考虑了输入饱和问题，并加入了补偿信号，完善了反绕组控制算法。最后给出了仿真结果，验证了所提控制策略的有效性和性能。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
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