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Data-Driven Frequency-Voltage Cooperative Control in an Isolated Microgrid System
HUANG Yuan, MA Peixi, NING Jingbo, LIU Junyong, TANG Zhiyuan
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (5) : 124-132.
PDF(2112 KB)
PDF(2112 KB)
Data-Driven Frequency-Voltage Cooperative Control in an Isolated Microgrid System
[Objective] With the rapid development of microgrids， ensuring the safety of system frequency and voltage has become a critical issue that urgently needs to be addressed. However， traditional frequency and voltage control strategies fail to consider the coupling relationship between voltage control and frequency control， making it impossible to achieve optimal real-time coordinated control of system frequency and voltage. Therefore， a data-driven frequency and voltage control method for isolated microgrids is proposed. [Methods] Firstly， the microgrid system model is recursively approximated online in real-time using the weighted least squares （WLS） method. Secondly， based on the identified system model and combined with a feedback-based approximate gradient algorithm， the frequency-voltage coupling relationship is utilized. By adjusting the power of voltage-sensitive loads through voltage regulation， active power balance in the system is achieved， enabling optimal real-time coordinated control of microgrid frequency and voltage. [Results] A microgrid system is built on Matlab/Simulink to simulate and verify the proposed method， and the results show that， compared with traditional frequency and voltage control strategies， the proposed method can fully exploit the regulation potential of voltage-sensitive loads， reduce microgrid frequency fluctuations， and achieve a maximum system frequency deviation of only 0.75%. [Conclusions] The proposed frequency and voltage control method for isolated microgrid clusters fully takes into account the coupling relationship between frequency and voltage. By utilizing voltage-sensitive loads， it achieves real-time optimal control of system frequency and voltage through voltage regulation.
microgrid clusters / frequency and voltage control / data-driven / online optimization
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Frequency control is important to ensure safe and stable operation of microgrids. In an actual microgrid, owing to the variable generation of distributed energy resources, the microgrid system parameters and operating conditions change continuously. The traditional, frequency-control strategy designed based on the fixed-parameter model has poor self-adaptive capability and cannot realize real-time optimal control of the system frequency. In the new, real-time measurement data-based design, the dynamic mode-decomposition method is used to update the system model by identifying the system parameters in real time. The microgrid frequency-control strategy was designed to realize real-time, optimal, microgrid frequency regulation based on the updated system model and combined with the predictive-control method. Finally, the proposed method was simulated and verified through a detailed microgrid system using MATLAB/Simulink software. Simulation results indicate that the proposed method can correctly identify the system-state parameters and effectively control the microgrid frequency. |
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利益冲突声明（Conflict of Interests）： 所有作者声明不存在利益冲突。
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