基于频率支持的光伏电站快速功率跟踪控制

IF 0.7 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

At-Automatisierungstechnik Pub Date : 2023-10-01 DOI:10.1515/auto-2023-0029

Horst Schulte, Stephan Kusche

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引用次数: 0

摘要

摘要针对无电池储能光伏电站的频率支持问题，提出了一种电力跟踪控制器。由于惯性的减小，风力涡轮机和光伏电站等再生系统必须为电力系统中的快速频率支持提供瞬时储备。针对光伏电站对电网的支持，提出了一种控制方案和设计流程，以保证光伏电站离开最优工作点时的电力储备。针对具有切换模式DC-DC变换器的光伏系统，提出了一种基于模型的Takagi-Sugeno模糊框架下的广义设计方法，以实现给定的控制目标。仿真研究表明了该控制方案的适用性。

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Fast power tracking control of PV power plants for frequency support

Abstract A power tracking controller for frequency support by photovoltaic power plants without battery storage is presented. Due to the decreasing inertia, regenerative systems such as wind turbines and photovoltaic power plants must provide an instantaneous reserve for fast frequency support in power systems. To provide grid support by PV power plants, a control scheme, and a design procedure are introduced to ensure power reserve by leaving the optimal operating point. A model-based generalized design procedure in the Takagi-Sugeno fuzzy framework for PV system with switched-mode DC-DC converter is presented to achieve the specified control objectives. Simulation studies show the applicability of the control scheme.

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来源期刊

At-Automatisierungstechnik 工程技术-自动化与控制系统

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.