考虑干扰效应的分布式储能系统有限时间自适应弹性控制方法

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-21 DOI:10.1016/j.ijepes.2024.110315
Jian Sun , Zewen Li , Jianqi Li , Jianquan Lu
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引用次数: 0

摘要

测量设备、可编程控制器和电力电子设备的大规模应用增加了分布式储能系统遭受各种干扰的可能性,从而影响系统的稳定运行。本文针对分布式储能系统控制信道中的未知传输干扰,提出了一种自适应有限时间快速弹性控制策略。首先,定量分析了传感器和执行器干扰对传统基于共识的二级控制策略的不利影响。其次,提出了一种基于终端滑模的自适应补偿机制的弹性控制协议,分析了控制器对传感器和执行器未知扰动的抑制机制,并从理论上证明了所提出的分布式弹性二次控制策略的有限时间收敛性。实验结果表明,所提出的控制策略是正确有效的。
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Finite time adaptive resilient control method for distributed energy storage systems considering disturbance effects
The large-scale application of measurement devices, programmable controllers, and power electronic devices increases the likelihood of distributed energy storage systems suffering from various disturbances, thus affecting the stable operation of the system. In this paper, an adaptive finite time fast resilient control strategy is proposed for the unknown transmission disturbance in the control channel of distributed energy storage system. Firstly, the adverse effects of sensor and actuator disturbances on conventional consensus-based secondary control strategies are quantitatively analyzed. Secondly, an resilient control protocol with adaptive compensation mechanism based on terminal sliding mode is proposed, and the suppression mechanism of the controller to the unknown disturbance of the sensor and the actuator is analyzed, and the finite time convergence of the proposed distributed resilient secondary control strategy is proved theoretically. Experimental results show that the proposed control strategy is correct and effective.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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