关键词: 光储直柔系统, 智能控制, 电压恢复

Abstract:

Aiming at the voltage stability control problem of the low-carbon photovoltaic storage direct-flexible system connected to the distribution network in the park, a secondary control strategy based on brain emotional learning-based intelligent controller (BELBIC) is proposed in this paper. Different from the traditional control method, the controller has the ability of fast automatic learning and can handle the complexity, nonlinearity and uncertainty of the photovoltaic storage direct-flexible system model. The proposed controller is completely model-free and maintains robust regulation capability when the system model and parameters are unknown. The method ensures low steady-state variation and high bandwidth, and ensures stable voltage control and accurate current sharing of the converter under the droop mechanism. Finally, real-time simulation is carried out on the OPAL-RT simulator to verify the robustness of the proposed control strategy under different conditions. The results show that the strategy can realize bus voltage recovery and load current accurate proportional distribution within the allowable range of communication delay, and has outstanding plug-and-play capabilities, providing an innovative solution for the flexible access of high-proportion distributed energy in new distribution systems.

Key words: PEDF, intelligent control, voltage restoration