Adaptive Voltage Control to Coordinate Multiple PV Inverters as a Cluster

IF 9.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2024-07-03 DOI:10.1109/TSG.2024.3422381
Siyun Li;Wenchuan Wu
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Abstract

Dynamic voltage support is a critical ancillary service in electric power networks, and with the increasing penetration of inverter-based renewable energy resources such as solar photovoltaics (PV), utilizing their idle capacity to provide dynamic voltage support is becoming indispensable. This paper proposes an adaptive voltage control method to coordinate multiple PV inverters as a cluster, realizing dynamic voltage support without relying on accurate system model parameters. Based solely on the measured input/output data of the controlled system, the proposed method dynamically linearizes the controlled system through online identification. Subsequently, a data-driven cooperative adaptive controller is designed to coordinate multiple PV inverters as a cluster. The method can effectively regulate the voltage at the point of common coupling (PCC) of the controlled PV cluster with adaptability to system changes. The stability of the proposed control method is theoretically clarified. Numerical simulation using MATLAB/Simulink shows the effectiveness of the proposed method.
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自适应电压控制,将多个光伏逆变器协调为一个群组
动态电压支持是电力网络中的一项重要辅助服务,随着太阳能光伏(PV)等基于逆变器的可再生能源的日益普及,利用其闲置容量提供动态电压支持变得不可或缺。本文提出了一种自适应电压控制方法,将多个光伏逆变器协调为一个集群,无需依赖精确的系统模型参数即可实现动态电压支持。该方法完全基于被控系统的测量输入/输出数据,通过在线识别对被控系统进行动态线性化。随后,设计出一种数据驱动的协同自适应控制器,以集群的形式协调多个光伏逆变器。该方法能有效调节受控光伏集群公共耦合点(PCC)的电压,并能适应系统变化。从理论上阐明了所提控制方法的稳定性。使用 MATLAB/Simulink 进行的数值模拟显示了所提方法的有效性。
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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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