基于数据驱动的离网微电网频率电压协同控制OA

[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.