光伏功率波动对交直流混合微电网运行的影响及对策

Shiyi Ma, Jun Wu, Zhihui Liu, T. Xu, Wei Ma, Xuezhi Wu, L. Jing
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引用次数: 3

摘要

在交直流混合微电网中,光伏输出功率的随机波动会引起微电网母线电压的变化。功率波动对交直流混合微电网的电能质量和可靠性有显著的负面影响。提出了一种基于功率波动特性的储能快速充放电控制和光伏限电运行控制方法。这两种控制相互配合,有效抑制了光伏发电功率的波动。首先,采用自回归移动平均算法(ARIMA)对光伏发电进行超短期预测,根据预测结果确定光伏是否进入限电运行模式。然后,在限电运行模式下,根据光伏发电功率波动的大小,通过PI算法动态调整限电百分比。最后,本文提出了一种自适应卡尔曼滤波算法来优化储能装置的充放电控制。滤波器参数可通过储能设备的充电状态(SOC)自动调整,保证储能设备的安全运行。仿真结果表明,上述算法能够有效协调,显著降低光伏功率波动,使交直流混合微电网运行更加安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact and Solution of PV Power Fluctuations on Operation of Hybrid AC/DC Microgrid
In the hybrid AC/DC microgrid, the random fluctuations of the PV output power will cause the voltage variation of microgrid bus. The power fluctuations have significant negative effects on the power quality and reliability of the hybrid AC/DC microgrid. A fast charging and discharging control of energy storage and PV power limited operation control based on the power fluctuation characteristic is proposed in this paper. The two controls cooperate so that the fluctuation of PV power can be effectively suppressed. First of all, the autoregressive moving average algorithm (ARIMA) is used to predict ultra-short term forecasting of PV power generation, and the limited power operation mode of PV is whether to enter is determined by the predicted results. Then, in the limited power operation mode, the power limit percentage is adjusted dynamically through the PI algorithm according to the size of PV power fluctuations. Finally, an adaptive Kalman filtering algorithm is proposed in this paper to optimize the control of charging and discharging of energy storage device. The filter parameters can be adjusted automatically through the state of charging (SOC) of energy storage device, ensuring the safe operation of the energy storage device. Simulation results show that the above algorithms can be effectively coordinated, significantly reduce the fluctuation of PV power, and make the hybrid AC/DC microgrid operating safer.
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