Novel Neural Control of Single-Phase Grid-Tied Multilevel Inverters for Better Harmonics Reduction
Novel Neural Control of Single-Phase Grid-Tied Multilevel Inverters for Better Harmonics Reduction
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DOI：
10.3390/electronics7070111
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发表时间：
2018-07
期刊：
影响因子：
2.9
通讯作者：
Xingang Fu;Shuhui Li;A. Hadi;R. Challoo
中科院分区：
文献类型：
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作者：
Xingang Fu;Shuhui Li;A. Hadi;R. Challoo
介绍了一种单相级联H桥(CHB)并网多电平逆变器，详细讨论了所提出的新型神经控制器在可再生能源集成中的更高效率和电能质量。在多电平逆变器系统中使用了LCL(电感-电容-电感)滤波器，以实现更好的谐波抑制。所提出的神经网络(NN)控制器执行内环电流控制，并跟踪外环产生的参考，以满足电压或功率控制的要求。在仿真模型的开发中采用了两种基于多载波的脉宽调制(PWM)技术(移相调制和电平移位调制)来驱动多电平逆变器系统，以对神经控制技术进行评估。仿真结果验证了所提出的并网多电平逆变器神经网络控制器的有效性和有效性。与传统的基于比例积分(PI)控制器的矢量控制策略相比，所提出的神经控制具有响应速度快、振荡少等优点。特别是，神经网络控制技术提供了更好的谐波抑制能力。
A single-phase Cascaded H-Bridge (CHB) grid-tied multilevel inverter is introduced with a detailed discussion of the proposed novel neural controller for better efficiency and power quality in the integration of renewable sources. An LCL (inductor-capacitor-inductor) filter is used in the multilevel inverter system to achieve better harmonic attenuation. The proposed Neural Network (NN) controller performs the inner current control and tracks the references generated from the outer loop to satisfy the requirements of voltage or power control. Two multicarrier-based Pulse Width Modulation (PWM) techniques (phase-shifted modulation and level-shifted modulation) are adopted in the development of the simulation model to drive the multilevel inverter system for the evaluation of the neural control technique. Simulations are carried out to demonstrate the effectiveness and efficient outcomes of the proposed neural network controller for grid-tied multilevel inverters. The advantages of the proposed neural control include a faster response speed and fewer oscillations compared with the conventional Proportional Integral (PI) controller based vector control strategy. In particular, the neural network control technique provides better harmonics reduction ability.