scholarly journals PI CONTROLLER FOR CONTROLLING A THREE-PHASE INVERTER OF A PV SYSTEM CONNECTED TO THE ELECTRICAL NETWORK

2021 ◽  
Vol 21 (3) ◽  
pp. 11-18
Author(s):  
Sihem BOURI ◽  
◽  
Tariq BOUDAOUD ◽  
Tayeb BOUDJELAL ◽  
◽  
...  

In order to improve the efficiency of photovoltaic panels it is necessary to introduce the technique of Maximum Power Point (the technique of the MPPT). In the literature, several strategies are mentioned, among which the perturbation and observation (P&O) algorithm. The aim of this work is to a simulation study in MATLAB of a photovoltaic panel connected to the network using DC-DC and DC-AC converters. DC Boost converter is checked by the MPPT command to adjust the output voltage of the photovoltaic panel and maximize the power produced by the photovoltaic panel. The PI controller is used to control the inverter three-phase to make the connection of the photovoltaic panel to a three-phase electrical network.

2014 ◽  
Vol 21 (4) ◽  
pp. 733-740 ◽  
Author(s):  
Janusz Mroczka ◽  
Mariusz Ostrowski

Abstract Photovoltaic panels have a non-linear current-voltage characteristics to produce the maximum power at only one point called the maximum power point. In the case of the uniform illumination a single solar panel shows only one maximum power, which is also the global maximum power point. In the case an irregularly illuminated photovoltaic panel many local maxima on the power-voltage curve can be observed and only one of them is the global maximum. The proposed algorithm detects whether a solar panel is in the uniform insolation conditions. Then an appropriate strategy of tracking the maximum power point is taken using a decision algorithm. The proposed method is simulated in the environment created by the authors, which allows to stimulate photovoltaic panels in real conditions of lighting, temperature and shading.


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.


2021 ◽  
Author(s):  
Mohamed Mosaad ◽  
Fahd Banakhr

Abstract Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lockup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC-DC converter. Another lockup table is formed with the temperature, irradiance and the corresponding duty cycle at MPP to convert this MPP technique into an adaptive one. An experimental implementation of the proposed adaptive MPPT is introduced to test the validity of the simulation results obtained at different irradiance and temperature levels.


2018 ◽  
Vol 11 (3) ◽  
pp. 133
Author(s):  
Mohammed El Malah ◽  
Abdellfattah Ba-razzouk ◽  
M’hammed Guisser ◽  
Elhassane Abdelmounim ◽  
Mhamed Madark ◽  
...  

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.


Author(s):  
Pradeep Rai ◽  
Roshan Nayak

This paper proposes a nonlinear control methodology for three phase grid connected of PV generator. It consists of a PV arrays; a voltage source inverter, a grid filter and an electric grid. The controller objectives are threefold: i) ensuring the Maximum power point tracking (MPPT) in the side of PV panels, ii) guaranteeing a power factor unit in the side of the grid, iii) ensuring the global asymptotic stability of the closed loop system. Based on the nonlinear model of the whole system, the controller is carried out using a Lyapunov approach. It is formally shown, using a theoretical stability analysis and simulation results that the proposed controller meets all the objectives.


2019 ◽  
Vol 11 (21) ◽  
pp. 5891 ◽  
Author(s):  
Kim ◽  
Huh ◽  
Ko

This paper proposes the method for maximum power point tracking (MPPT) of the photovoltaic (PV) system. The conventional PI controller controls the system with fixed gains. Conventional PI controllers with fixed gains cannot satisfy both transient and steady-state. Therefore, to overcome the shortcomings of conventional PI controllers, this paper presents the variable gain proportional integral (VGPI) controllers that control the gain value of PI controllers using fuzzy control. Inputs of fuzzy control used in the VGPI controller are the slope from the voltage-power characteristics of the PV module. This paper designs fuzzy control's membership functions and rule bases using the characteristics that the slope decreases in size, as it approaches the maximum power point and increases as it gets farther. In addition, the gain of the PI controller is adjusted to increase in transient-state and decrease in steady-state in order to improve the error in steady-state and the tracking speed of maximum power point of the PV system. The performance of the VGPI controller has experimented in cases where the solar radiation is constant and the solar radiation varies, to compare with the performance of the P&O method, which is traditionally used most often in MPPT, and the performance of the PI controller, which is used most commonly in the industry field. Finally, the results from the experiment are presented and the results are analyzed.


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