New CUK-SEPIC converter based photovoltaic power system with hybrid GSA-PSO algorithm employing MPPT for water pumping applications

被引：54

作者：

Priyadarshi, Neeraj ^{[1
]}

Bhaskar, Mahajan Sagar ^{[1
,4
]}

Padmanaban, Sanjeevikumar ^{[1
]}

Blaabjerg, Frede ^{[2
]}

Azam, Farooque ^{[3
]}

机构：

[1] Aalborg Univ, Dept Energy Technol, DK-6700 Esbjerg, Denmark

[2] Aalborg Univ, Dept Energy Technol, Ctr Reliable Power Elect CORPE, DK-9220 Aalborg, Denmark

[3] REVA Univ, Sch Comp & Informat Technol, Bangalore 560064, Karnataka, India

[4] Prince Sultan Univ PSU, Coll Engn, Dept Commun & Networks, Renewable Energy Lab REL, Riyadh 11586, Saudi Arabia

来源：

IET POWER ELECTRONICS | 2020年 / 13卷 / 13期

关键词：

photovoltaic power systems; power electronics; maximum power point trackers; particle swarm optimisation; search problems; pumps; magnetic cores; power inductors; new CUK-SEPIC converter; photovoltaic power system; hybrid GSA-PSO algorithm; GSA-PSO based MPPT; water pumping applications; photovoltaic water pumping application; maximum power point tracking; hybrid gravitational search algorithm-particle swarm optimisation; positive ground reference; negative ground reference; optimum PV power extraction; POINT TRACKING; COLONY;

D O I：

10.1049/iet-pel.2019.1154

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 work proposes a CUK-SEPIC converter for photovoltaic water pumping application with maximum power point tracking (MPPT). For this a new hybrid gravitational search algorithm (GSA)-particle swarm optimisation (PSO) based MPPT method is proposed. The recent power electronics based CUK-SEPIC converter provides identical output with positive and negative ground reference. The novel converter minimises the ripple present in the supply current and provides optimum PV power extraction from solar module by integrating input and output magnetic cores of inductor. The proposed model is practically tested under changing solar insolation by employing switch reluctance motor for water pumping applications.

引用

页码：2824 / 2830

页数：7

共 4 条

[1] Intelligent incremental conductance MPPT control based on PSO-neural network algorithm for a photovoltaic water pumping system
Sefriti, Bouchra (bouchra.sefriti@usmba.ac.ma), 1600, CRL Publishing (25):
[2] An improved hybrid PV-wind power system with MPPT for water pumping applications
Priyadarshi, Neeraj
Padmanaban, Sanjeevikumar
Bhaskar, Mahajan Sagar
Blaabjerg, Frede
Holm-Nielsen, Jens Bo
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (02)
[3] An effective standalone hybrid wind-photovoltaic water pumping system with reduced power converter count
Angadi, Sachin
Yaragatti, Udaykumar R.
Suresh, Yellasiri
Raju, Angadi B.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (12)
[4] Application of the MPPT Control Algorithm Based on Hybrid Quantum Particle Swarm Optimization in a Photovoltaic Power Generation System
Xu, Xiaowei
Zhou, Wei
Xu, Wenhua
Nie, Yongjie
Chen, Shan
Ou, Yangjian
Zhou, Kaihong
Liu, Mingxian
PROCESSES, 2023, 11 (05)

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