基于V‐I下垂的交流微电网分布式事件和自触发二次控制

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2022-11-29 DOI:10.1049/stg2.12097
Masoud Hajian, Mohammad S. Golsorkhi, Alireza Ranjbar, Qobad Shafiee, Mehdi Savaghebi
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引用次数: 1

摘要

在本研究中,提出了分布式事件和自触发(ST)控制方法,用于具有电阻性线路阻抗的孤岛交流微电网的精确负载共享和电压控制。提出的控制框架由两级控制结构组成。一级采用V-I下垂控制方法。在该方法中,分布式能源被同步到一个共同的同步参考系中,并通过该参考系中的电压-电流下垂特性来实现负载共享。二次电平采用分布式结构,减轻了一次电平引起的电压偏差,消除了线路阻抗引起的电流共享误差。der之间的数据交换使用事件和ST算法进行控制。为了减少通信负担,利用估计变量实现反馈控制律,估计变量在特定的事件时间更新。基于李雅普诺夫稳定性分析并考虑V-I下垂特性提取事件时间。事件和ST算法的比较表明,事件触发策略提供了更好的动态响应,而ST方法需要更低的网络流量。通过实时仿真结果验证了该方案的有效性。
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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V-I droop-based distributed event- and self-triggered secondary control of AC microgrids

In this study, distributed event-and self-triggered (ST) control methods are proposed for accurate load sharing and voltage control in islanded AC microgrids with resistive line impedances. The proposed control framework is comprised of a two-level control structure. At the primary level, the V-I droop control method is adopted. In this method, the distributed energy resources (DERs) are synchronised to a common synchronous reference frame and load sharing is accomplished through voltage-current droop characteristics in this frame. The secondary level, which has a distributed structure, mitigates the voltage deviations induced by the primary level and eliminates the current sharing error caused by the line impedances. The data exchange among the DERs is controlled using event- and ST algorithms. In order to reduce the communication burden, the feedback control laws are realised using estimated variables, which are updated at certain event times. The event times are extracted based on Lyapunov stability analysis and by consideration of the V-I droop characteristics. Comparison of event and ST algorithms shows that while the event-triggered strategy offers superior dynamic response, the ST approach requires lower network traffic. The efficacy of the proposed scheme is verified through real time simulation results.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
期刊最新文献
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