Resonance suppression strategy of DC distribution system based on reduced-order hybrid control algorithm

Frontiers in Energy Research

Energy Research

Xudong Wu¹  Feng Zheng¹  Zonghua Zheng¹  Baojin Liu¹  Ning Liang² 

[1] College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China;Electric Power Engineering, Kunming University of Science and Technology, Kunming, China;

关键词: DC distribution system;    stability analysis;    hybrid control algorithm;    model predictive control;    resonance suppression;   

DOI  :  10.3389/fenrg.2023.1260678

 received in 2023-07-18, accepted in 2023-08-16,  发布年份 2023

来源: Frontiers

【 摘 要 】

As a complex dynamically strongly coupled system, DC distribution system often suffers from voltage collapse due to system resonance. In order to suppress distribution network resonance and bus voltage fluctuation, this paper proposes a hybrid control algorithm to suppress DC distribution system resonance to further enhance DC system stability. In this paper, the output voltage of the line regulation converter (LRC) is the target of the study. A current prediction model is introduced in the inner loop of the converter control, which can enhance the dynamic responsiveness of the system and eliminate the PWM modulator and parameter tuning, achieve the unitization of the inner loop of the current. By constructing the inverse model of the controlled object, the outer voltage loop is unitized under the control of two-degree-of-freedom. The hybrid control enables the bus voltage to follow the reference voltage exactly, which suppresses resonance peaks in the voltage transfer function and reduces bus voltage fluctuations. Finally, the proposed hybrid control algorithm is simulated and verified in MATLAB/Simulink platform. The results show that the control strategy can effectively suppress the resonance and bus voltage fluctuation of the DC distribution system and enhance the dynamic characteristics and anti-interference capability of the distribution network.

【 授权许可】

Unknown   
Copyright © 2023 Zheng, Wu, Zheng, Liu and Liang.