scholarly journals A Firework-Based GMPPT with Variable Sampling Time for PV Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
N. Khalessi ◽  
M. Niroomand ◽  
J. Dadkhah ◽  
S. Y. Nikouei

Photovoltaic systems have a nonlinear characteristic in which there is one optimum operating point called Maximum Power Point (MPP). However, when PV panels are partially shaded by surrounding objects, there are several MPPs, of which one of them is Global MPP (GMPP). Therefore, conventional Maximum Power Point Tracking (MPPT) algorithms get trapped into local MPPs. As a result, a multitude of Global MPPT (GMPPT) algorithms have been proposed. An outstanding GMPPT algorithm as well as the fast-tracking speed should find GMPP in complicated shading patterns where not only there are lots of MPPs, but also the peaks are close together. Therefore, in this paper, a novel GMPPT based on firework algorithm is proposed which is able to find GMPP in complicated shading patterns with fast tracking speed. Moreover, the firework is combined with Perturb-and-Observe (P&O) algorithm to reduce the computational effort in a way that the firework is only used to recognize GMPP; afterwards, P&O algorithm completes the tracking. Furthermore, the variable sampling time technique, based on the system settling time, speeds up the tracking process considerably. Finally, the proposed method is compared with previous works, simulated, and implemented on an experimental setup to prove its superiority.

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Ammar Hussein Mutlag ◽  
Azah Mohamed ◽  
Hussain Shareef

In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.


Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah

Abstract In this work we have presented a generalization of the Temperature Parametric (TP) Method which is based on the detection of the maximum power point by the prediction of the corresponding optimal voltage. This operating voltage is determined by the continuous measurement of the ambient temperature and solar irradiation. This new approach is based on a 3D linear regression model linking these quantities and which allows to our method to realize the maximum power point tracking in real time. The simulation shows that this new technique has a better MPPT efficiency compared to Hill Climbing technique.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Eduardo Moreira Vicente ◽  
Robson Luiz Moreno ◽  
Enio Roberto Ribeiro

This paper presents a new maximum power point tracking (MPPT) method based on the measurement of temperature and short-circuit current, in a simple and efficient approach. These measurements, which can precisely define the maximum power point (MPP), have not been used together in other existing techniques. The temperature is measured with a low cost sensor and the solar irradiance is estimated through the relationship of the measured short-circuit current and its reference. Fast tracking speed and stable steady-state operation are advantages of this technique, which presents higher performance when compared to other well-known techniques.


Author(s):  
Tarek Boutabba ◽  
Said Drid ◽  
Larbi Chrifi-Alaoui

AbstractThis paper proposes a new maximum power point tracking (MPPT) technique of photovoltaic system based on Kalman filter (KF) and associate to Artificial Neural Networks (ANN). The design process of photovoltaic (PV) modules can be greatly enhanced by using advanced and accurate models. Furthermore, the use of a neural model especially for accuracy improvement of the electrical equivalent circuit parameters, where the analytic equation of the model cannot be easily expressed, because the relationship between parameters is nonlinear. The proposed neural network is trained once by using some measured I-V and P-V curves and to keep in account the change of all the parameters at different operating conditions. For that reason, to get the fast tracking performance on this noisy conditions, and to maximize the power of photovoltaic system a KF method have been used. The performance analysis of perturb and observe (P&O) and KF MPPT techniques has been simulated in MATLAB/Simulink software and their model and control schemes has been analyzed and validated.


2013 ◽  
Vol 648 ◽  
pp. 223-226
Author(s):  
Hao Sun ◽  
Cheng Zhi Yang ◽  
Ya Zhou Shan

The Maximum Power Point Tracking (MPPT) is an important method to improve power conversion efficiency for wind-power generation systems. In this paper, an intelligent global power MPPT method is presented. The comparison result of load power under various wind speed are presented through a real experiment, and it shows that maximum power point can be preferably tracked by the intelligent global power MPPT and makes a significant contribution for energy saving.


2013 ◽  
Vol 385-386 ◽  
pp. 1131-1134
Author(s):  
Fang Zhang ◽  
Chuan Dong Li ◽  
Yan Juan Wu

Under partially shaded conditions, the P-U characteristic of the photovoltaic (PV) array is characterized by multiple peaks. The presence of multiple peaks reduces the effectiveness of the existing maximum power point tracking (MPPT) schemes, which refers only to the tracking of a single peak on the P-U characteristic. This paper proposes a novel method for the global MPPT. The new method starts at the starting voltage which is 80% of the open-circuit voltage of the PV array, and finds the first local maximum power point (MPP) using the perturb and observe (P&O) approach. Then the second search finds the next local MPP based on the P&O approach starting from the new starting voltage, which is determined by increasing the rate of slope of the current line at the first local MPP. The new algorithm follows this searching procedure until the global MPP is found. The new algorithm avoids searching the turning-point voltage between the two local MPP, and the voltage range swept is shortened significantly with the result of fast searching speed. Simulations validates that under partially shaded conditions the proposed new algorithm can track the global MPP with the fast tracking speed and the high precision.


Author(s):  
Hussain Attia

<span style="color: black; font-family: 'Times New Roman',serif; font-size: 9pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-style: italic;">Maximum Power Point Tracking (MPPT) is an important objective needed to gain maximum power from solar photovoltaic panel during the weather condition variation. Many studies and solutions are proposed in literature, most of them focus on the type of algorithm which adopted for MPP tracking through using same driver i.e. DC-DC Boost converter. Among these algorithms, Fuzzy Logic Controller (FLC) demonstrates high quality performance by fast tracking response and robust effectiveness. This paper proposes a FLC by a new harmony of the input and the output variables through comparative study to the controller tracking behavior. To track the MPP, the proposed solution controls the change of duty cycle for PWM gate drive pulses width variation to drive the designed Buck-Boost DC-DC converter. MATLAB/Simulink software is selected to simulate the introduced controller. The simulation results are reflecting the promising indications to adopt the presented proposal as an effective MPPT system for practical applications.</span>


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