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首页> 外文期刊>Power Electronics, IET >Adaptive neuron detection-based control of single-phase SPV grid integrated system with active filtering
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Adaptive neuron detection-based control of single-phase SPV grid integrated system with active filtering

机译：具有自适应滤波的基于自适应神经元检测的单相SPV电网集成系统控制

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摘要

This study deals with an adaptive neuron detection-based control technique for single-phase, single-stage solar photovoltaic (SPV) array grid integrated system using a voltage-source converter (VSC). The VSC also provides power quality features such as harmonics mitigation, power factor correction and perturb and observation-based maximum power point tracking for an SPV grid-interfaced system. With this approach, the VSC has the active power flow from the SPV array to the grid and it also performs the non-linear load current harmonic compensation by keeping the grid current almost sinusoidal. On the other hand, in the night mode, if the SPV power is not available, the VSC works as an active power filter for the harmonics elimination and reactive power compensation. This increases the effective utilisation of the VSC. The adaptive neuron detection technique has lesser noise and oscillation in extraction of fundamental component in comparison of conventional adaptive control algorithm. It has also satisfied an IEEE-519 standard of harmonics by improving the quality of power of SPV grid integrated system. The proposed system is modelled and simulated using MATLAB/Simulink and the response of the system under non-linear loads and varying environmental conditions are evaluated experimentally on a prototype developed in the laboratory.
机译：这项研究涉及使用电压源转换器（VSC）的单相，单级太阳能光伏（SPV）阵列网格集成系统的基于自适应神经元检测的控制技术。 VSC还为SPV电网接口系统提供了电能质量功能，例如谐波抑制，功率因数校正，扰动和基于观测的最大功率点跟踪。通过这种方法，VSC具有从SPV阵列到电网的有功功率流，并且还通过保持电网电流接近正弦波来执行非线性负载电流谐波补偿。另一方面，在夜间模式下，如果没有SPV功率，则VSC用作有功功率滤波器，用于消除谐波和补偿无功。这提高了VSC的有效利用率。与传统的自适应控制算法相比，自适应神经元检测技术在提取基本成分方面具有较小的噪声和振荡。通过提高SPV电网集成系统的电源质量，它还满足了IEEE-519谐波标准。使用MATLAB / Simulink对提出的系统进行建模和仿真，并在实验室开发的原型上通过实验评估了系统在非线性负载和变化的环境条件下的响应。

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