A Novel Method for Maximum Power Point Tracking of the Grid-Connected Three-Phase Solar Systems Based on the PV Current Prediction

被引:5
作者
Bairami, Saeid [1 ]
Salimi, Mahdi [2 ]
Mirabbasi, Davar [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Ardabil Branch, Ardebil, Iran
[2] Univ Greenwich, Fac Engn & Sci, Medway ME4 4TB, Kent, England
关键词
Maximum power point trackers; Fluctuations; Voltage fluctuations; Simulation; Prediction algorithms; Inverters; Real-time systems; Maximum power point (MPP) tracking; Current predictive control; Static converter; Solar system; Power electronics; ALGORITHM; MPPT;
D O I
10.23919/cje.2021.00.218
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 paper, it is first attempted to provide a small signal model of the photovoltaic (PV) system, DC-DC boost converter, and pulse width modulation (PWM) generator. Then, a technique is provided for maximum power point tracking (MPPT) in grid-connected solar systems based on variable and adaptive perturbation and observation with predictive control of the PV current. An innovative aspect of the proposed predictive current control method is to use the current controller to achieve the value of PV impedance, which has been used in DC-DC boost converter. The proposed method is to obtain the coming current value on the basis of the current predictive model. The goal of the proposed method is to make the DC-DC boost converter inductor current track the current reference. Voltage and current ripple minimization is added to the cost function simultaneously as a system constraint to optimize system performance. This reduces the amount of voltage and current fluctuations around the maximum power point. The proposed method is capable of detecting rapid changes in solar radiation. A sudden and simultaneous increase in voltage and current is detected by the algorithm and then the duty cycle becomes increasing instead of decreasing. The simulation is carried out in MATLAB Simulink environment in real-time for a 26.6 kW three-phase grid-connected solar system. The simulation results of current predictive control are compared with perturbation and observation techniques and linear voltage and current proportional integral derivative (PID) controller-based adaptive control. The results show that the total harmonic distortion (THD%) of the inverter voltage with proposed method has been reduced by 0.16% compared to the PID method. In addition, the THD% of the current in the proposed method is reduced by 0.1% compared to the PID method. The solar system output voltage variation of the proposed method is less than 5 V.
引用
收藏
页码:353 / 364
页数:12
相关论文
共 17 条
[1]   The Arithmetic Optimization Algorithm [J].
Abualigah, Laith ;
Diabat, Ali ;
Mirjalili, Seyedali ;
Elaziz, Mohamed Abd ;
Gandomi, Amir H. .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 376
[2]   Robust Integral Backstepping Based Nonlinear MPPT Control for a PV System [J].
Ali, Kamran ;
Khan, Laiq ;
Khan, Qudrat ;
Ullah, Shafaat ;
Ahmad, Saghir ;
Mumtaz, Sidra ;
Karam, Fazal Wahab ;
Naghmash .
ENERGIES, 2019, 12 (16)
[3]  
Anowar M. H., 2019, INT C ELECT COMPUTER, DOI 10.1109/ECACE.2019.8679308
[4]   Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning [J].
Chou, Kuan-Yu ;
Yang, Shu-Ting ;
Chen, Yon-Ping .
SENSORS, 2019, 19 (22)
[5]   A Reduced Voltage Range Global Maximum Power Point Tracking Algorithm for Photovoltaic Systems Under Partial Shading Conditions [J].
Furtado, Artur M. S. ;
Bradaschia, Fabricio ;
Cavalcanti, Marcelo C. ;
Limongi, Leonardo R. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (04) :3252-3262
[6]   Global Maximum Power Point Tracking under Shading Condition and Hotspot Detection Algorithms for Photovoltaic Systems [J].
Gosumbonggot, Jirada ;
Fujita, Goro .
ENERGIES, 2019, 12 (05)
[7]   Improved solar system with maximum power point tracking [J].
Hua, Chih-Chiang ;
Fang, Yi-Hsiung ;
Wong, Cyuan-Jyun .
IET RENEWABLE POWER GENERATION, 2018, 12 (07) :806-814
[8]   Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid [J].
Kim, Jong-Chan ;
Huh, Jun-Ho ;
Ko, Jae-Sub .
SUSTAINABILITY, 2019, 11 (21)
[9]  
Kusuma A., 2019, INT C GREEN ENERGY E
[10]   Photovoltaic system with quantitative comparative between an improved MPPT and existing INC and P&O methods under fast varying of solar irradiation [J].
Motahhir, Saad ;
El Hammoumi, Aboubakr ;
El Ghzizal, Abdelaziz .
ENERGY REPORTS, 2018, 4 :341-350