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Power Quality Profile Enhancement of Utility connected Microgrid System using ANFIS-UPQC

机译:使用ANFIS-UPQC的公用事业连接微电网系统的电源质量简介

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This paper investigates compensation of power quality issues of utility connected microgrid system using unified power quality conditioner (UPQC) device. A very important task on integration of utility and microgrid is the power flow management and compensation of power quality (PQ) distortions. Among all power quality distortions, the voltage drop and harmonic distortions are serious PQ distortion occur in the utility and customer side respectively. The UPQC is a promising device to compensate both utility and customer side PQ distortions. The compensation capability of the traditional UPQC device is limited by the DC link voltage regulation using conventional PI controller. In proposed control technique, the compensation capability of the UPQC device is enhanced by an adaptive neuro fuzzy inference system (ANFIS)based reference DC link voltage estimation and DC link voltage regulation. The ANFIS is trained off-line and implemented in the online simulation. Finally, the proposed ANFIS based UPQC is investigated for compensating PQ distortions originated in utility connected microgrid through an exhaustive simulation in MATLAB/SIMULINK platform.
机译:本文研究了使用统一电能质量调节器(UPQC)设备的公用电连接微电网系统的电能质量问题的补偿。关于效用和微电网集成的一个非常重要的任务是电源流量管理和功率质量补偿(PQ)扭曲。在所有电力质量扭曲中,电压降和谐波畸变分别在公用事业和客户侧发生了严重的PQ失真。 UPQC是一个有前途的设备,可以补偿效用和客户侧PQ失真。传统UPQC设备的补偿能力受到使用传统PI控制器的直流链路电压调节的限制。在提出的控制技术中,基于自适应神经模糊推理系统(ANFIS)的参考DC链路电压估计和DC链路电压调节,增强了UPQC器件的补偿能力。 ANFIS在线模拟中触及离线并实施。最后,研究了基于ANFIS的UPQC,用于通过Matlab / Simulink平台中的详尽模拟来补偿源于公用事业连接的MicroGrid中的PQ失真。

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