Grey Wolf Optimization Based MPPT Algorithm for Solar PV System with SEPIC Converter

被引：16

作者：

Atici, Koray ^{[1
]}

Sefa, Ibrahim ^{[2
]}

Altin, Necmi ^{[2
]}

机构：

[1] Havelsan AS, Ankara, Turkey

[2] Gazi Univ, Dept Elect & Elect Engn, Fac Technol, Ankara, Turkey

来源：

2019 4TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND THEIR APPLICATIONS (ICPEA) | 2019年

关键词：

Grey wolf optimization; SEPIC converter; MPPT; PV module; POWER POINT TRACKING; CONTROLLER;

D O I：

10.1109/icpea1.2019.8911159

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：

In this study, the Grey Wolf Optimization (GWO) based maximum power point tracking (MPPT) algorithm with a single-ended primary-inductor converter (SEPIC) converter is proposed for solar photovoltaic (PV) systems. SEPIC converter which has voltage step-up and step-down capability removes the non-operational zones related about the input voltage. The PV module current and voltage are used as inputs of the GWO based MPPT algorithm. It determines the duty cycle of the converter and controls the operating point to track the maximum power point for any operating condition. Proposed system is designed and simulated in MATLAB/Simulink to test its performance for different operating conditions. Simulation results have proved the fast response and improved steady state performance of proposed MPPT method and SEPIC converter.

引用

页数：6

共 24 条

[1] Two-Stage Grid-Connected Inverter for PV Systems [J].

Altin, Necmi ;

Ozdemir, Saban ;

Komurcugil, Hasan ;

Sefa, Ibrahim ;

Biricik, Samet .

PROCEEDINGS 2018 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS AND POWER ENGINEERING (CPE-POWERENG 2018), 2018,

[2] A Combined Energy Management Algorithm for Wind Turbine/Battery Hybrid System [J].

Altin, Necmi ;

Eyimaya, Suleyman Emre .

JOURNAL OF ELECTRONIC MATERIALS, 2018, 47 (08) :4430-4436

[3] The Type-2 Fuzzy Logic Controller-Based Maximum Power Point Tracking Algorithm and the Quadratic Boost Converter for Pv System [J].

Altin, Necmi .

JOURNAL OF ELECTRONIC MATERIALS, 2018, 47 (08) :4475-4485

[4] Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems [J].

Altin, Necmi .

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2013, 13 (03) :65-70

[5] Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions [J].

Benyoucef, Abou Soufyane ;

Chouder, Aissa ;

Kara, Kamel ;

Silyestre, Santiago ;

Sahed, Oussama Ait .

APPLIED SOFT COMPUTING, 2015, 32 :38-48

[6]

Darmansyah, 2017, 2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), P593, DOI 10.1109/ICCAR.2017.7942766

[7]

Das KR, 2015, 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI)

[8] Artificial neural network-based photovoltaic maximum power point tracking techniques: a survey [J].

Elobaid, Lina M. ;

Abdelsalam, Ahmed K. ;

Zakzouk, Ezeldin E. .

IET RENEWABLE POWER GENERATION, 2015, 9 (08) :1043-1063

[9] Comparison of photovoltaic array maximum power point tracking techniques [J].

Esram, Trishan ;

Chapman, Patrick L. .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (02) :439-449

[10] A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition [J].

Ishaque, Kashif ;

Salam, Zainal .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 19 :475-488

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