基于分布式反馈优化的全逆变器孤岛式交流微电网优化功率流控制

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2023-10-10 DOI:10.1049/stg2.12132
Y. Cheng, Tao Liu, David John Hill
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引用次数: 0

摘要

针对完全基于逆变器的孤岛交流微电网中并网逆变器的控制问题,提出了一种基于分布式反馈优化(FO)的控制方法。所提出的控制器有两个控制层。上层使用FO计算gfmi的频率和电压设定值,而下层使gfmi跟踪这些设定值。该控制方法利用电压控制的灵活性调节系统频率,保持有功功率和无功功率的共享精度,使母线电压保持在允许范围内,同时保持闭环系统在最优潮流方面的最优性。采用梯度下降法解决了基于mgg实时测量结果的模糊控制问题,该方法采用分布式方式实现,从而消除了对中央控制器的需求。实例分析表明了该方法的有效性。封面图片基于Y. Cheng等人,https://doi.org/10.1049/stg2.12132的研究文章《基于分布式反馈优化的全逆变器孤岛交流微电网最优潮流控制》。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Distributed feedback optimisation based optimal power flow control in fully inverter based islanded AC microgrids

Distributed feedback optimisation based optimal power flow control in fully inverter based islanded AC microgrids

A novel distributed feedback optimisation (FO) based control method is proposed to control grid-forming inverters (GFMIs) in fully inverter-based islanded AC microgrids (MGs). The proposed controller has two control layers. The upper layer uses FO to calculate the frequency and voltage setpoints of GFMIs, whereas the lower layer makes GFMIs track these setpoints. The proposed control method takes advantage of the flexibility of voltage control to regulate the system frequency, maintain both active power and reactive power sharing accuracies, keep bus voltage within allowable range and meanwhile preserves the optimality of the closed-loop system in term of optimal power flow. The gradient descent method is used to solve the proposed FO problem based on the real-time measurements in the MGs, which is implemented in a distributed way, and thus eliminates the need for a central controller. Case studies show the effectiveness of the proposed method.

The cover image is based on the Research Article Distributed feedback optimisation based optimal power flow control in fully inverter based islanded AC microgrids by Y. Cheng et al., https://doi.org/10.1049/stg2.12132.

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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
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