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A FFP based adaptive control of SPV system tied to weak grid

机译:弱电网约束下基于FFP的SPV系统自适应控制

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In this paper, a three-phase grid tied SPV (Solar Photovoltaic) system is controlled through a FFP (Fixed Forward Prediction) based algorithm, which extracts fundamental load current component connected at PCC (Point of Common Coupling). This VSC with FFP based control algorithm feeds the SPV energy to the grid for balancing of the loads, reduction of harmonics, stabilization of grid under voltage sag/swell conditions and the reactive power compensation. Moreover, the rate of convergence of this algorithm is very high. Simulated performance of this system is verified experimentally. The INC (Incremental Conductance) based MPPT (Maximum Power Point Tracking) is applied to the SPV system for extraction of maximum power from the SPV array. The system is tested under various abnormal conditions such as load unbalance, solar connection/disconnection, voltage sag/swell and variable solar insolation. The distortion levels of voltage/current are found to be within limits as defined in an IEEE-519 standard while feeding active power to the grid and connected loads.
机译:在本文中,通过基于FFP(固定前向预测)的算法控制三相并网SPV(太阳能光伏)系统,该算法提取在PCC(公共耦合点)处连接的基本负载电流分量。带有基于FFP的VSC的控制算法将SPV能量馈入电网,以平衡负载,减少谐波,在电压骤降/骤升条件下稳定电网以及无功补偿。而且,该算法的收敛速度非常高。该系统的仿真性能已通过实验验证。基于INC(增量电导)的MPPT(最大功率点跟踪)应用于SPV系统,以从SPV阵列中提取最大功率。该系统已在各种异常条件下进行了测试,例如负载不平衡,太阳能连接/断开,电压骤降/骤升和日照变化。在将有功功率馈入电网和连接的负载时,发现电压/电流的失真水平在IEEE-519标准定义的范围内。

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