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Improved power quality of three-phase grid connected Solar Energy Conversion System under grid voltages distortion and imbalances

机译:在电网电压畸变和不平衡的情况下改善三相并网太阳能转换系统的电能质量

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This paper proposes a control technique for improving power quality of a three-phase grid connected SECS (Solar Energy Conversion System) under grid voltage distortion and imbalances. SECS mainly extracts DC power from solar PV (Photovoltaic) array and converts it into AC power via a voltage source converter (VSC) and supplies it to grid and connected loads. This system functions on an incremental conductance (INC) driven MPPT (Maximum Power Point Tracking) algorithm along with unit vectors estimation via positive sequence voltages extraction and a neural network (NN) based least mean sixth (LM-Sixth) current control technique. The system aims to eliminate power quality issues and provides current conditioning while operating in coherence with a weak grid such as Indian grid which has poor power supply quality and voltages distortion and imbalances. The system provides functions of both SECS as well as shunt active power filter (SAPF) depending on the availability of sunlight. For validation of this system, experimental tests are carried out on a developed laboratory prototype and results are recorded for supporting the same.
机译:本文提出了一种在电网电压畸变和不平衡的情况下提高三相并网SECS(太阳能转换系统)电能质量的控制技术。 SECS主要从太阳能光伏(光伏)阵列中提取直流电,然后通过电压源转换器(VSC)将其转换为交流电,并将其提供给电网和连接的负载。该系统基于增量电导(INC)驱动的MPPT(最大功率点跟踪)算法以及通过正序电压提取和基于神经网络(NN)的最小均六(LM-Sixth)电流控制技术进行单位矢量估计而起作用。该系统旨在消除电能质量问题,并在与弱电网(例如印度电网)相协调的情况下提供电流调节,该印度电网的电源质量差,电压失真和不平衡。该系统根据阳光的可用性提供SECS以及分流有源功率滤波器(SAPF)的功能。为了验证该系统,对开发的实验室原型进行了实验测试,并记录了结果以支持该系统。

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