具有电能质量调节功能的太阳能光伏发电机组弱电网互联

N. Patel, R. Bansal, A. Hamid, A. Adam
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引用次数: 0

摘要

电力电子驱动的非线性负载表现出离散开关特性,因此,冗余谐波分量被反射到公用电网电流中。这些电流谐波分量引起电网阻抗上的非线性电压降,导致电压出现相当大的畸变。这些谐波畸变危及在连接点耦合的相邻线性负载的工作性能。因此,为了解决非线性负载带来的各种电能质量(PQ)问题,本文提出了一种基于先进收缩归一化符号(ASNS)的光伏(PV)逆变器控制PQ调节器的控制体系结构。更准确地说,所提出的ASNS方案本质上负责从谐波掺杂电流中分解负载电流的基本权重分量。在弱配电网条件下,除了向已建立的电网主动注入电力外,还要求自动神经网络满足以下不同的控制目标:(1)对光伏阵列引入的非线性进行主动补偿;电网电流平衡;(三)谐波和无功电流补偿;(四)功率因数校正。此外,在MATLAB/Simulink环境中使用SimPowerSystems工具箱对所有理论发展进行了数值模拟。总之,测试结果证实了ASNS架构的有效性,即使在不利的网格场景下也可以无缝运行,从而提高PQ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weak Grid Interconnection of Solar Photovoltaic Unit with Power Quality Conditioner Functionality
The power electronics driven nonlinear loads exhibit discrete switching characteristic and thus, redundant harmonic components are reflected into the utility grid currents. These current harmonic components cause a nonlinear voltage drop across the grid impedance leading to considerable distortions in the voltage. These harmonic distortions jeopardize the operational performance of adjacent linear loads coupled at the point of connection. Therefore, to remediate the various Power Quality (PQ) issues posed by nonlinear loads, this article proposes an Advanced Shrinkage Normalized Sign (ASNS) based control architecture for Photovoltaic (PV) inverter controlled PQ conditioner. More precisely, the proposed ASNS scheme is intrinsically responsible for decomposing the fundamental weight components of the load currents from harmonically adulterated currents. Besides active power injection into the established grid, ASNS is required to serve the following distinctive control objectives under weak distribution network: (i) Active compensation of nonlinearity introduced by the PV array; (ii) Grid current balancing; (iii) Harmonic and reactive current compensations, and (iv) Power factor correction. Furthermore, all the theoretical developments are examined through numerical simulations in MATLAB/Simulink environment using SimPowerSystems toolbox. In summary, the tests results substantiate the effectiveness of the ASNS architecture to operate seamlessly even under adverse grid scenarios and thereby improving PQ.
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