Distributed Two-Layer Predictive Control of AC Microgrid Clusters With Communication Delays

IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Tao Yang;Jingang Lai;Chang Yu;Xiaoping Wang;Qiang Xiao
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引用次数: 0

Abstract

This paper proposes a two-layer distributed network predictive control strategy for AC microgrids (MGs) clusters with communication delays. The strategy involves establishing a two-layer communication network to regulate the voltage/frequency of all distributed generators (DGs) within the MG cluster to predefined reference values while ensuring consistency in incremental costs across individual MGs. Furthermore, a multi-step predictive controller is designed, where delay information in the controller is replaced by the latest predictions, enabling proactive compensation for delays. Stability analysis of the closed-loop AC MG clusters is conducted and the response matching condition is derived between the second and tertiary levels. Finally, real-time simulations on an OPAL-RT platform are performed for AC MG clusters, validating the robustness of the proposed control method against communication delays.
具有通信延迟的交流微电网集群分布式两层预测控制
针对具有通信延迟的交流微电网集群,提出了一种两层分布式网络预测控制策略。该策略包括建立一个两层通信网络,将MG集群内所有分布式发电机(dg)的电压/频率调节到预定义的参考值,同时确保各个MG之间增量成本的一致性。此外,设计了多步预测控制器,将控制器中的延迟信息替换为最新的预测信息,实现了对延迟的主动补偿。对闭环交流MG簇进行了稳定性分析,推导了二阶和三阶响应匹配条件。最后,在OPAL-RT平台上对AC MG集群进行了实时仿真,验证了所提出的控制方法对通信延迟的鲁棒性。
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来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
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