A maximum power point tracker variable-dc-link three-phase inverter for grid-connected PV panels

Author(s):  
F. Mancilla-David ◽  
A. Arancibia ◽  
F. Riganti-Fulginei ◽  
E. Muljadi ◽  
M. Cerroni
2021 ◽  
Vol 16 (2) ◽  
pp. 213-221
Author(s):  
Na Yao ◽  
Zhi Zhang ◽  
Xiao Tang

The photovoltaic cells’ output characteristics and maximum power point tracking (MPPT) technology are studied to design a two-stage cascaded photovoltaic off-grid inverter, including the front-end Boost converter and the rear-end three-phase inverter. The state-space averaging method is adopted in front-end Boost converter modeling, and space vector pulse width modulation (SVPWM) technology is adopted in the rear-end three-phase inverter. The simulation drive model is obtained through research principles and algorithm realization. Based on the theoretical analysis and simulation, front-end Boost converter’s and the back-end inverter’s hardware are designed. The main circuit includes the front-end Direct Current (DC)-DC topology and the back-end DC-AC topology. The TMS320F28027 digital signal processor is the core of the front-end DC-DC topology’s control system, and LabView is the core of the back-end DC-AC topology’s control system. The front-end Boost converter’s analog output voltage is 32 V, stable at the maximum operating point in the test. The maximum power point can be effectively tracked in the proposed inverter. The rear-end three-phase inverter’s total harmonic distortion (THD) of phase voltage is less than 3%. Less harmonic wave meets the circuit harmonic distortion rate’s design requirements.


Author(s):  
IVANILES PUTRA UTAMA DAGOMIS ◽  
LEONARDUS HERU PRATOMO

ABSTRAKSalah satu energi terbarukan adalah pembangkit listrik tenaga surya (PLTS), yang menggunakan photovoltaic (PV) sebagai sarana konversi energi. Untuk mendapatkan daya maksimal, menggunakan konverter DC-DC beralgoritma maximum power point tracker (MPPT). Sistem di Indonesia menggunakan tiga fasa empat kawat (TFEK), sehingga sistem perlu diintegrasi menjadi satu, dikenal dengan nama konversi dua tahap. Masalah yang muncul adalah konverter TFEK lazim diimplementasi menggunakan konverter daya empat lengan, di mana setiap lengannya terdapat dua buah sakelar daya. Hal ini akan mengakibatkan sistem pensaklaran yang tinggi, tapis dan stress tegangan yang besar untuk mendapatkan THD rendah. Oleh karena itu, telah diteliti inverter TFEK menggunakan 5-level inverter. Metode modulasi lebar pulsa digital sinusoidal (MLPDS) digunakan untuk mengendalikan setiap sakelar (IRFP 460) dengan menggunakan mikrokontrol jenis STM32F407. Verifikasi menggunakan perangkat lunak PSIM dan prototype. Berdasarkan hasil pengujian, metode yang dilakukan mampu menghasilkan arus dan tegangan keluaran inverter TFEK dengan THD tegangan sebesar 4,38%.Kata kunci: Inverter 5-tingkat, Tiga fasa empat kawat, STM32F407, THD ABSTRACTOne of the renewable energy is solar power plant (PLTS), which uses photovoltaic (PV) as a means of energy conversion. To get maximum power, use a DC-DC converter with a maximum power point tracker (MPPT). The system in Indonesia uses three-phase four-wires (TPFW), the system needs to be integrated into one, as two-stage conversion. The problem is that TPFW converters are commonly implemented using four-leg power converter, where each leg has two power switches. This will result in high switching system, large filters, and stress voltage to get low THD. Hence, the TPFW inverter 5-level inverter has been investigated. The sinusoidal pulse width modulation (SPWM) method is used to control each switch (IRFP 460) using an STM32F407 microcontroller. Verification with PSIM software and prototype. Based on the results, the method used can produce the current and output voltage of the TPFW inverter with a voltage THD of 4.38%.Keywords: five-level inverter, three-phase four-wire, STM32F407, THD


2015 ◽  
Vol 787 ◽  
pp. 838-842 ◽  
Author(s):  
M. Pandikumar ◽  
R. Ramaprabha ◽  
Ranganath Muthu

The paper proposes a comparative analysis of brushless DC (BLDC) motor based photovoltaic (PV) water pumping system with two different controllers namely the proportional-integral (PI) and the fuzzy. The controllers are designed such that the maximum power is extracted from the PV source with the incremental conductance (INC) algorithm. The controlled output is given to the boost converter, which acts as the maximum power point tracker (MPPT). It is followed by the three-phase inverter supplying the BLDC drive system. The constant speed operation is achieved via the spacevector pulsewidth modulation (SVPWM) technique in order to obtain constant throughput from the centrifugal pump. The performance of the system is analyzedwithMatLab/Simulink.It is shown that the fuzzy control provides better response then the PI control.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 483
Author(s):  
Novie Ayub Windarko ◽  
Muhammad Nizar Habibi ◽  
Bambang Sumantri ◽  
Eka Prasetyono ◽  
Moh. Zaenal Efendi ◽  
...  

During its operation, a photovoltaic system may encounter many practical issues such as receiving uniform or non-uniform irradiance caused mainly by partial shading. Under uniform irradiance a photovoltaic panel has a single maximum power point. Conversely under non-uniform irradiance, a photovoltaic panel has several local maximum power points and a single global maximum power point. To maximize energy production, a maximum power point tracker algorithm is commonly implemented to achieve the maximum power operating point of the photovoltaic panel. However, the performance of the algorithm will depend on operating conditions such as variation in irradiance. Presently, most of existing maximum power point tracker algorithms work only in a single condition: either uniform or non-uniform irradiance. This paper proposes a new maximum power point tracker algorithm for photovoltaic power generation that is designed to work under uniform and partial shading irradiance conditions. Additionally, the proposed maximum power point tracker algorithm aims to provide: (1) a simple math algorithm to reduce computational load, (2) fast tracking by evaluating progress for every single executed duty cycle, (3) without random steps to prevent jumping duty cycle, and (4) smooth variable steps to increase accuracy. The performances of the proposed algorithm are evaluated by three conditions of uniform and partial shading irradiance where a targeted maximum power point is located: (1) far from, (2) near, and (3) laid between initial positions of particles. The simulation shows that the proposed algorithm successfully tracks the maximum power point by resulting in similar power values in those three conditions. The proposed algorithm could handle the partial shading condition by avoiding the local maxima power point and finding the global maxima power point. Comparisons of the proposed algorithm and other well-known algorithms such as differential evolution, firefly, particle swarm optimization, and grey wolf optimization are provided to show the superiority of the proposed algorithm. The results show the proposed algorithm has better performance by providing faster tracking, faster settling time, higher accuracy, minimum oscillation and jumping duty cycle, and higher energy harvesting.


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