网格成形转换器的深度同步控制：一种强化学习方法

IF 15.3 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-21 DOI:10.1109/JAS.2024.124824

Zhuorui Wu;Meng Zhang;Bo Fan;Yang Shi;Xiaohong Guan

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引用次数: 0

摘要

这封信提出了一种深度同步控制（DSC）方法，使并网变流器与电网同步。该方法基于稳定的深度动力学模型，构建了一种新的成网变流器控制器。为了提高控制器的性能，在深度强化学习（DRL）框架内对动态模型进行优化。仿真结果表明，该方法可以减小频率偏差，改善有功功率响应。

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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Deep Synchronization Control of Grid-Forming Converters: A Reinforcement Learning Approach

Dear Editor, This letter proposes a deep synchronization control (DSC) method to synchronize grid-forming converters with power grids. The method involves constructing a novel controller for grid-forming converters based on the stable deep dynamics model. To enhance the performance of the controller, the dynamics model is optimized within the deep reinforcement learning (DRL) framework. Simulation results verify that the proposed method can reduce frequency deviation and improve active power responses.

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来源期刊

Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering

CiteScore

23.50

自引率

11.00%

发文量

880

期刊介绍： The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.