A maximum power point tracking of a photovoltaic system connected to a three-phase grid using a variable step size perturb and observe algorithm

被引:7
作者
Zerzouri, N. [1 ]
Ali, N. Ben Si [1 ]
Benalia, N. [1 ]
机构
[1] Badji Mokhtar Univ, Elect Engn Lab Annaba, Elect Engn, Annaba, Algeria
关键词
photovoltaic generator; perturb and observe maximum power point tracking; modified perturb and observe maximum power point tracking; fuzzy logic control; boost converter; pulse-width modulation inverter; three phase grid; INVERTER; DESIGN; MODEL; MPPT;
D O I
10.20998/2074-272X.2023.5.06
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
The production of electricity from solar energy is necessary because of the global consumption of this energy. This article's study is based on increased energy extraction by improving maximum power point tracking (MPPT). From different MPPT techniques proposed, the perturb and observe (P&O) technique is developed because of its low implementation cost and ease of implementation. Methods. A modified variable step-size P&O MPPT algorithm is investigated which uses fuzzy logic to automatically adjust step-size to better track maximum power point, compared with the conventional fixed step-size method. The variable step P&O improves the speed and the tracking accuracy. This controller is implemented on a boost DC-DC power converter to track the maximum power point. The suggested controlled solar energy system includes a boost converter, a voltage-source inverter, and a grid filter. The control scheme of a three-phase current-controlled pulse-width modulation inverter in rotating synchronous coordinate d-q with the proposed MPPT algorithm and feed-forward compensation is studied. Results. The photovoltaic grid-connected system controller employs multi-loop control with the filter inductor current of the inverter in the inner loop to achieve a fast dynamic response and the outer loop to control bus voltage for MPPT, the modeling, and control of three phase grid connected to photovoltaic generator is implemented in the MATLAB/Simulink environment and validated by simulation results. References 27, tables 5, figures 29.
引用
收藏
页码:37 / 46
页数:10
相关论文
共 27 条
[1]   DC-link sensorless control strategy for grid-connected PV systems [J].
Ahmed, Mostafa ;
Abdelrahem, Mohamed ;
Farhan, Ahmed ;
Harbi, Ibrahim ;
Kennel, Ralph .
ELECTRICAL ENGINEERING, 2021, 103 (05) :2345-2355
[2]   Modified efficient perturb and observe maximum power point tracking technique for grid-tied PV system [J].
Ali, Ahmed I. M. ;
Sayed, Mahmoud A. ;
Mohamed, Essam E. M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 99 :192-202
[3]   Improved P&O MPPT algorithm with efficient open-circuit voltage estimation for two-stage grid-integrated PV system under realistic solar radiation [J].
Ali, Ahmed Ismail M. ;
Mohamed, Hassanien Ramadan A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 137
[4]   Variable step size perturb and observe MPPT controller by applying θ-modified krill herd algorithm-sliding mode controller under partially shaded conditions [J].
Ali, Ziad M. ;
Quynh Nguyen Vu ;
Dadfar, Sajjad ;
Nakamura, Hiroki .
JOURNAL OF CLEANER PRODUCTION, 2020, 271
[5]   Design and Real-Time Implementation of Cascaded Model Reference Adaptive Controllers for a Three-Phase Grid-Connected PV System [J].
Bhunia, Malay ;
Subudhi, Bidyadhar ;
Ray, Pravat Kumar .
IEEE JOURNAL OF PHOTOVOLTAICS, 2021, 11 (05) :1319-1331
[6]   A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT [J].
Boumaaraf, Houria ;
Talha, Abdelaziz ;
Bouhali, Omar .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 49 :1171-1179
[7]   Implementation of adjustable variable step based backstepping control for the PV power plant [J].
Charaabi, Asma ;
Zaidi, Abdelaziz ;
Barambones, Oscar ;
Zanzouri, Nadia .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 136
[8]   Maximum power point tracking in photovoltaic systems using indirect adaptive fuzzy robust controller [J].
Delavari, Hadi ;
Zolfi, Morteza .
SOFT COMPUTING, 2021, 25 (16) :10969-10985
[9]  
Elhor A, 2022, INT J RENEW ENERGY R, V12, P1013
[10]  
Fapi CBN, 2019, INT J RENEW ENERGY R, V9, P1180