Solar photovoltaic‐interfaced shunt active power filter implementation for power quality enhancement in grid‐connected systems

Author:

Boopathi Rajendran1,Indragandhi Vairavasundaram1ORCID

Affiliation:

1. School of Electrical Engineering Vellore Institute of Technology Vellore Tamil Nadu India

Abstract

SummaryThis paper proposes a synchronous reference frame (SRF) control with a photovoltaic (PV)‐based shunt active power filter (SAPF) that is utilized to mitigate harmonics impacted by fast‐growing nonlinear load (NL), including compensation of reactive power in distribution systems. The PV module is constructed with an enhanced incremental conductance (EINC) maximum power point tracking approach with an interconnected SAPF. It can support load reactive power demand, eliminating harmonics obtained by NL and the active power supported by the PV arrays. Traditional tuning PI controllers perform poorly under variable load conditions. An adaptive intelligent nonlinear controller capable of simultaneously addressing the impacts of variable load, NL generation of harmonic current, and reactive power demand. This research aims to improve power quality based on an adaptive neuro‐fuzzy inference system (ANFIS) to enhance PV‐SAPF dynamic performance and achieve optimized performance. This control technique reduces the percentage of total harmonic distortion (THD) of the source current below IEEE standards from generating an NL and balanced/unbalanced load condition and regulates the DC‐link voltage constant. Moreover, the presented SRF theory, solar PV, and step‐up converter are addressed. The proposed system control strategy is implemented in the MATLAB/Simulink platform and the Texas Instruments Cyclone IV EP4CE30F484 FPGA board to carry out the hardware implementations of the proposed PV‐SAPF system and validated experimentally.

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Reference37 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3