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Recursive Least M-Estimate based Control Algorithm for Grid Interfaced Solar PV System

机译:基于递归最小M估计的并网太阳能光伏系统控制算法

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This paper deals with a single stage grid interfaced, multifunctional solar photovoltaic (PV) system for (1) feeding the solar PV array power into the grid with improved power quality (PQ) (2) supplying local nonlinear loads, (3) balancing the grid currents (4) providing the harmonics compensation and reactive power compensation. For achieving these functionalities, the voltage source converter of the PV system is controlled using the RLM (Recursive Least M-Estimate) based current control algorithm with FOAANF (Fourth Order Amplitude Adaptive Notch Filter) based voltage filter. This control algorithm makes the convergence of the control fast, and robust under impulsive noise environment, and unbalanced loading condition with grid voltages distortion. Moreover, the proposed RLM based control algorithm offers good steady state and dynamic performances with simple implementation. Experimental results obtained on a developed prototype in the laboratory, have demonstrated the performance of proposed control algorithm with grid currents distortion within the limits of the IEEE-519 standard.
机译:本文研究了一种单级网格接口的多功能太阳能光伏(PV)系统,该系统(1)将太阳能PV阵列电源以改进的电能质量(PQ)馈入电网,(2)提供局部非线性负载,(3)平衡电网电流(4)提供谐波补偿和无功功率补偿。为了实现这些功能,使用基于RLM(递归最小M估计)的电流控制算法和基于FOAANF(四阶幅度自适应陷波滤波器)的电压滤波器来控制PV系统的电压源转换器。该控制算法使控制收敛更快,在脉冲噪声环境下以及电网电压失真的不平衡负载条件下鲁棒性强。此外,所提出的基于RLM的控制算法提供了良好的稳态和动态性能,并且实现简单。在实验室中开发的原型上获得的实验结果证明了所提出的控制算法在电网电流失真在IEEE-519标准范围内的性能。

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