自动频率控制
控制理论(社会学)
控制工程
频率网格
理论(学习稳定性)
风力发电
计算机科学
电力系统
网格
频率偏差
工程类
自动发电控制
控制(管理)
瞬态(计算机编程)
频率响应
最优控制
功率(物理)
交流电源
电力系统仿真
控制系统
操作点
控制器(灌溉)
动态需求
转子(电动)
传输(电信)
可再生能源
光伏系统
感应发电机
鲁棒控制
负荷调节
功率控制
控制单元
还原(数学)
单位负荷,单位负荷
发电站
网络动力学
光学(聚焦)
频率调节
作者
Amir Afshari,Dominic Groß
标识
DOI:10.1109/tpwrs.2026.3656051
摘要
This study presents a constrained coordination and frequency control framework for plants containing a collection of heterogeneous generators, including synchronous generators (SG) and grid-forming (GFM) photovoltaics (PV) and wind turbines (WT). While we focus on distributed dynamic virtual power plants (DDVPP) with units at different buses of a transmission system, the results also apply to control of conventional renewable plants with units interconnected through a collector network. Our framework explicitly considers unit-level constraints and enables the plant to 1) provide frequency control, 2) supply load demand considering weather and load volatility, and 3) maintain frequency stability without violating physical constraints, e.g., dc voltage, blade pitch angle, and rotor speed limits. The proposed framework spans plant-level and unit-level control and coordination. The plant-level control computes unit-level dispatch signals and frequency control coefficients by solving an optimization problem considering individual unit constraints and plant-level requirements. Then, at the unit-level, a curtailment and tuning problem is solved to translate the plant-level dispatch and frequency control gains into operating points and control gains for the SG and GFM controls of each unit. Moreover, we provide conditions for frequency stability of the DDVPP that are independent of the network configuration and explicitly account for weather conditions and operating points. While the underlying autonomous GFM grid support ensures system stability, the plant-level control coordinates units' operating points and control gains to satisfy plant-level requirements and maintain operation within unit limits. Detailed electromagnetic transient (EMT) simulations are used to validate the performance of the proposed framework in different scenarios.
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