基于无模型自适应控制的电力弹簧电压控制

Abstract
Figure/Table
References
Related Citation (1)

Download: PDF (1297 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In response to the intermittency and uncertainty of renewable energy generation, which leads to changes in the model parameters of the electric spring (ES) system and a decrease in control performance, this paper proposes a model-free adaptive control (MFAC) strategy applied to the ES system. This strategy involves updating the control law equation and pseudo-derivative estimation equation in real-time using only the input-output data of ES. Through the compact form dynamic linearization algorithm, the input-output data of ES is described as a compact form dynamic linearization data model to replace the non-linear system of ES, thus achieving model-free adaptive control of ES. To verify the superiority of the control strategy proposed in this paper, the voltage stabilisation effect of the ES system is simulated by Matlab/Simulink. The results show that the voltage stabilisation response speed is improved by 0.07s, and the voltage waveform distortion rate is reduced by 6.43%, compared with the traditional proportional integral (PI) control strategy.

Key words： electric spring (ES) model-free adaptive control (MFAC) compact form dynamic linearization proportional integral (PI) controllers stable voltage

Received: 15 August 2024

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	CHEN Hongtao
	QIN Yidan
	YANG Chengshun
	HUANG Xiaoning

Cite this article:

CHEN Hongtao,QIN Yidan,YANG Chengshun等. Research on voltage control of electric spring based on model-free adaptive control[J]. Electrical Engineering, 2025, 26(2): 42-48.

URL:

https://dqjs.cesmedia.cn/EN/Y2025/V26/I2/42

[1] 丁俊, 王欣怡, 邵烨楠, 等. 新型电力系统的影响因素分析[J]. 电气技术, 2022, 23(7): 42-45.
[2] 李春敏, 吴亚洲. 新能源接入对电网安全稳定的影响思考[J]. 应用能源技术, 2022(8): 58-61.
[3] 夏得青, 向星宇, 李宽龙, 等. 农村配电网低电压治理研究进展[J]. 电气技术, 2023, 24(6): 1-5.
[4] HUI S Y, LEE C K, WU F F.Electric springs: a new smart grid technology[J]. IEEE Transactions on Smart Grid, 2012, 3(3): 1552-1561.
[5] 尹发根, 王淳. 电力弹簧研究进展: 原理、拓扑结构、控制和应用[J]. 电网技术, 2019, 43(1): 174-184.
[6] 尹发根, 王淳. 基于无功补偿的电力弹簧有效运行范围分析[J]. 电力系统保护与控制, 2019, 47(15): 9-16.
[7] LEE C K, CHAUDHURI B, HUI S Y.Hardware and control implementation of electric springs for stabi-lizing future smart grid with intermittent renewable energy sources[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2013, 1(1): 18-27.
[8] LI Dai, HOU Zhongsheng.Perimeter control of urban traffic networks based on model-free adaptive control[J]. IEEE Transactions on Intelligent Trans-portation Systems, 2021, 22(10): 6460-6472.
[9] 程明, 王青松, 张建忠. 电力弹簧理论分析与控制器设计[J]. 中国电机工程学报, 2015, 35(10): 2436-2444.
[10] 陈隆, 周扬忠. 一种基于虚拟矢量的T型三电平并网逆变器改进型模型预测控制策略[J]. 电气技术, 2022, 23(11): 37-43.
[11] 姚卫波, 徐晔, 黄克峰, 等. 基于前馈解耦的交直流混合微电网双向AC-DC变换器控制策略研究[J]. 电气技术, 2022, 23(5): 25-33.
[12] 胡石阳, 刘国荣. 基于虚拟同步机的新能源并网智能控制研究[J]. 电气技术, 2022, 23(10): 10-17.
[13] 侯忠生, 金尚泰. 无模型自适应控制: 理论与应用[M]. 北京: 科学出版社, 2013.
[14] 李振轩, 李红飞, 张怡龙, 等. 基于无模型自适应控制的电力逆变器控制系统设计[J]. 河南理工大学学报(自然科学版), 2022, 41(5): 114-120.
[15] 刘慧博, 张翀, 黄前柱. 永磁同步电机无模型自适应滑模补偿预测控制[J]. 机械设计与制造, 2024(4): 165-171.
[16] 潘俊迪, 陈中, 倪纯奕, 等. 基于无模型自适应控制的配电网电压控制方案[J]. 电力工程技术, 2023, 42(5): 128-137.
[17] 漆良文, 石可重, 郭乃志, 等. 漂浮式风电机组无模型自适应控制[J]. 太阳能学报, 2023, 44(5): 384-390.
[18] 王文佳, 侯忠生. 基于无模型自适应控制的自动泊车方案[J]. 控制与决策, 2022, 37(8): 2056-2066.
[19] 曾子强, 曹荣敏, 侯忠生, 等. 二维直线电机的多入多出无模型自适应轮廓控制[J]. 控制理论与应用, 2020, 37(5): 1007-1017.