This paper presents a simulation and implementation of a proportional integral (PI) and adaptive neuro-fuzzy inference system (ANFIS) control scheme of single-phase dynamic voltage restorer (DVR) for the mitigation of load voltage sag, swell and harmonics. The objective of the control strategies is to regulate the voltage of the DVR via an injection transformer to compensate for the voltage required and maintain the load voltage at a constant value. However, the conventional compensation techniques are grouped only on the load voltage and the DVR itself. The aim is to regulate the injection voltage of the DVR to compensate the grid voltage via the injection transformer in addition to maintaining the load voltage stable. These methods have been adapted to sinusoidal references and is resistant to sags, swells and harmonics. The proposed control strategies of the DVR are initially evaluated in simulations under MATLAB/Simulink and then validated on a laboratorial prototype of the single-phase DVR. n in-depth analysis across different controllers would show the performance and their robustness in mitigating network power quality issues. The robustness of the proposed ANFIS controller is examined by comparative studies with the PI controller. We notice that the proposed ANFIS controller was able to obtain a lower total harmonic distortion than that of the PI method.

中文翻译：

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使用动态电压恢复器改善配电网络的电压质量：稳健控制器的设计、仿真和实验测试

本文介绍了用于缓解负载电压骤降、骤升和谐波的单相动态电压恢复器 (DVR) 的比例积分 (PI) 和自适应神经模糊推理系统 (ANFIS) 控制方案的仿真和实现。控制策略的目标是通过注入变压器调节 DVR 的电压，以补偿所需的电压并将负载电压保持在恒定值。然而，传统的补偿技术仅针对负载电压和 DVR 本身进行分组。目的是调节 DVR 的注入电压，以通过注入变压器补偿电网电压，同时保持负载电压稳定。这些方法已适用于正弦参考，并且可以抵抗骤降、骤升和谐波。建议的 DVR 控制策略首先在 MATLAB/Simulink 下的仿真中进行评估，然后在单相 DVR 的实验室原型上进行验证。n 对不同控制器的深入分析将显示其在缓解网络电能质量问题方面的性能及其稳健性。通过与 PI 控制器的比较研究来检验所提出的 ANFIS 控制器的稳健性。我们注意到，所提出的 ANFIS 控制器能够获得比 PI 方法更低的总谐波失真。通过与 PI 控制器的比较研究来检验所提出的 ANFIS 控制器的稳健性。我们注意到，所提出的 ANFIS 控制器能够获得比 PI 方法更低的总谐波失真。通过与 PI 控制器的比较研究来检验所提出的 ANFIS 控制器的稳健性。我们注意到，所提出的 ANFIS 控制器能够获得比 PI 方法更低的总谐波失真。