A Multifunctional PV-Based Shunt Active Power Filter Using Neural Network Controller

被引：0

作者：

Azzam-Jai, Asmae ^{[1
]}

Ouassaid, Mohammed ^{[1
]}

机构：

[1] Mohammed V Univ, Mohammadia Sch Engineers EMI, Engn Smart & Sustainable Syst Res Ctr, Rabat, Morocco

来源：

2018 INTERNATIONAL SYMPOSIUM ON ADVANCED ELECTRICAL AND COMMUNICATION TECHNOLOGIES (ISAECT) | 2018年

关键词：

Diphase currents neural control; Photovoltaic power; Reactive power compensation; Shunt active power filter (SAPF); Total harmonic distortion (THD);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a multifunctional photovoltaic array-based shunt active power filter (PV-SAPF) using a diphase currents neural control strategy. The model aims to supply power to the nonlinear load 24 hours a day either from PV, Grid or combining the both sources according to the solar irradiance. Along with a PV active power injection, the model consists of using PV-SAPF for ancillary services as harmonic currents damping, dc link voltage control and reactive power compensation. In order to achieve a fast, accurate and online extraction of the fundamental component of harmonic currents rejected by nonlinear and online-varying load, a diphase currents neural control method is applied. So that to confirm the efficiency of this latest, the obtained results are compared with those of the classic method using synchronous d-q reference frame strategy. The simulation results depict the performance of the used method adapted to PV-SAPF system with aforementioned functionalities. Furthermore, the total harmonic distortion (THD) is obtained within the limits prescribed by IEEE-519 standard under a widely varying load.

引用

页数：6

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