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基于新型鲁棒下垂控制方法的光伏发电系统并网研究 被引量:7

Research on Grid Connection of Photovoltaic Power Generation Systems Based on a New Robust Droop Control Method
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摘要 光伏发电系统具有易受环境和负载变化影响的特点,其在并网过程中会产生频率和功率波动问题,而传统PI控制方法反应速度慢且稳定性差。针对这一问题,文中提出了一种新型鲁棒下垂控制设计方法。该方法在双向互联变换器双闭环控制电流内环的控制结构中设计了一个积分滑模控制器。该控制器既能够快速平抑光伏发电系统在并网过程中产生的电压和频率波动,又能够保证不同环境条件下电力系统的稳定性。MATLAB/Simulink仿真结果表明,新型鲁棒下垂控制方法比传统PI控制方法反应更快且波动幅度下降近一半,更好地保证了电网在光伏发电系统并网后的持续稳定运行。 Photovoltaic power generation system is easy to be affected by the environment and load changes,which will generate frequency and power fluctuations in the process of grid connection.The traditional PI control method is slow in response and poor in stability.To solve this problem,a new robust droop control design method is proposed in this study.An integral sliding mode controller is designed in the double closed-loop current inner loop control structure of bi-directional interconnected converter.The designed controller can not only suppress the voltage and frequency fluctuation of photovoltaic power generation system in the process of grid connection,but also ensure the stability of power system in different environmental conditions.The simulation results in MATLAB/Simulink show that the new robust droop control method is faster than the traditional PI control,and the fluctuation amplitude is reduced by nearly half,which ensures the continuous and stable operation of the grid after the photovoltaic power generation system is connected to the grid.
作者 闫振彬 郑柏超 周志勇 YAN Zhenbin;ZHENG Bochao;ZHOU Zhiyong(School of Automation,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,Nanjing 210044,China)
出处 《电子科技》 2021年第8期79-86,共8页 Electronic Science and Technology
基金 国家自然科学基金(61973169)。
关键词 光伏发电 最大功率点跟踪 扰动观察法 交直流混合微电网 双向互联变换器 下垂控制 滑模控制 MATLAB仿真 photovoltaic power generation MPPT perturbation and observation AC/DC hybrid microgrid bi-directional interconnected converter droop control sliding mode control MATLAB simulation
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