scholarly journals Design of a Low-Cost PV Emulator Applied for PVECS

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 232 ◽  
Author(s):  
Intissar Moussa ◽  
Adel Khedher ◽  
Adel Bouallegue

Applied tests on a real photovoltaic panel for a consolidated analysis require complex experiment setup and permanent availability of climatic conditions. This method is ineffective and can damage the PV system. As a result, PV emulators are highly requested in solar energy conversion and generation research, which rests essentially on a maximum power point tracking control algorithm (MPPT) and an adapting power stage as the DC-DC converter and PV inverter. The PV emulator guarantees a controllable light source environment to act as a real PV system in the laboratory. This paper deals with the study and development of an experimental PV emulator based on logarithmic approximation of the ideal single diode model (ISDM), which is implemented using analog electronic components. Mainly, the PV model, the controller, and the power stages, forming the PV emulator, are described. This simple, low-cost, and efficient device is considered as a nonlinear power supply template replacing the real PV system for any operating point irrespective of the environmental condition changes. The emulated current-voltage and power-voltage curves are validated via resistive load and batteries. Then, the performance of the proposed PV emulator is evaluated by its ability to recharge properly two 12V 7 Ah batteries.

Author(s):  
Layachi Zaghba ◽  
◽  
Messaouda Khennane ◽  
Abdelhalim Borni ◽  
Amor Fezzani ◽  
...  

This paper presents a performance analysis of Solar PV System under Real Outdoor Weather Conditions based on PSO fuzzy optimization approach. The PV system consists of a PV array of 6 kWp, DC-DC boost converter, PSO fuzzy MPPT control and resistive Load. In this paper, an efficient maximum power point tracking method based on combining the strengths of fuzzy maximum approach and Particle Swarm Optimization to optimize fuzzy gain. The photovoltaic PV system has been simulated using MATLAB/SIMULINK to validate the effectiveness of the proposed MPPT. It can be concluded that the proposed method can quickly convergence to the MPP, higher efficiency and low oscillation during different situations of climatic conditions.


2014 ◽  
Vol 651-653 ◽  
pp. 1019-1023
Author(s):  
You Huan Wang ◽  
Ning Liu ◽  
Dong Wei Xia

In order to address and meet the needs of people in these regions without electricity, we designed a small 500W off-grid PV-inverter. The main circuit includes battery charge and discharge circuit, and two-stage converter topology isolated. The digital processor TMS320F28023, high-performance and low-cost, is used to achieve maximum power point tracking (MPPT) of PV modules and charge control for battery. The experimental results of the prototype show that this design with high-precision and high-efficiency, meets the design requirements.


Changing meteorological conditions influence the output power of the Photovolataic systems, which affect the overall performance of the system, in turn reduces the overall efficiency. So, to draw maximal power from the PV system a technique called maximum power point tracking (MPPT) is incorporated. Two perturbations-based algorithms are presented in this paper are Perturb and Observe (P&O), and Modified drift-free perturb and observe (MP&O). Fixed step size duty ratio is used in both of these algorithms. The boost converter is used between the photovoltaic module and the resistive Load. The simulation and experimental results for 250W PV module are presented. The simulation studies are carried out in MATLAB SIMULINK. The algorithms are implemented using TMS320F28069M.


2018 ◽  
Vol 7 (3) ◽  
pp. 94-111 ◽  
Author(s):  
Hanane Yatimi ◽  
Elhassan Aroudam

In this article, on the basis of studying the mathematical model of a PV system, a maximum power point tracking (MPPT) technique with variable weather conditions is proposed. The main objective is to make a full utilization of the output power of a PV solar cell operating at the maximum power point (MPP). To achieve this goal, the incremental conductance (IC) MPPT technique is applied to an off-grid PV system under varying climatic conditions, in particular, solar irradiance and temperature that are locally measured in Northern Morocco. The output power behavior and the performance of the system using this technique have been analyzed through computer simulations to illustrate the validity of the designed method under the effect of real working conditions.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Chih-Lung Shen ◽  
Jye-Chau Su

A half-bridge photovoltaic (PV) system is proposed, which can not only deal with bidirectional power flowing but also improve power quality. According to varying insolation, the system conditions real power for dc and ac loads to accommodate different amounts of PV power. Furthermore, the system eliminates current harmonics and improves power factor simultaneously. As compared with conventional PV inverter, the total number of active switches and current sensors can be reduced so that its cost is lower significantly. For current command determination, a linear-approximation method (LAM) is applied to avoid the complicated calculation and achieve the maximum power point tracking (MPPT) feature. For current controlling, a direct-source-current-shaping (DSCS) algorithm is presented to shape the waveform of line current. Simulation results and practical measurements also demonstrate the feasibility of the proposed half-bridge PV system.


2021 ◽  
Vol 62 (4) ◽  
pp. 79-90
Author(s):  
Minh Duc Nguyen ◽  
Anh Viet Truong ◽  
Phi Hoang Le ◽  
Lan Thuy Thi Vu ◽  
Y Nhu Do ◽  
...  

This paper proposes a new turbocharger configuration that uses fewer semiconductor locks, fewer reactor coils, and a higher turbidity factor than conventional turbocharger configurations. This allows for easier control, less component loss, high efficiency, reduced circuit size and weight, and low cost. A booster circuit configuration with recommended neutral is required and is suitable for T-shaped and NPC 3-order inverters. In addition, the article also applies the maximum power point tracking algorithm for PV systems working in partially shaded conditions to improve the working efficiency of PV systems, to meet the requirements of the PV systems. grid-connected large capacity PV system.


Author(s):  
Imad A. Elzein ◽  
Yuri N. Petrenko

In this article an extended literature surveying review is conducted on a set of comparative studies of maximum power point tracking (MPPT) techniques.  Different MPPT methods are conducted with an ultimate aim of how to be maximizing the PV system output power by tracking Pmax in a set of different operational circumstances. In this paper maximum power point tracking, MPPT techniques are reviewed on basis of different parameters related to the design simplicity and or complexity, implementation, hardware required, and other related aspects.


2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi

The photovoltaic panel is characterized by a unique point called the maximum power point (MPP) where the panel produces its maximum power. However, this point is highly influenced by the weather conditions and the fluctuation of load which drop the efficiency of the photovoltaic system. Therefore, the insertion of the maximum power point tracking (MPPT) is compulsory to track the maximum power of the panel. The approach adopted in this paper is based on combining the strengths of two maximum power point tracking techniques. As a result, an efficient maximum power point tracking method is obtained. It leads to an accurate determination of the MPP during different situations of climatic conditions and load. To validate the effectiveness of the proposed MPPT method, it has been simulated in matlab/simulink under different conditions.


2021 ◽  
Vol 13 (5) ◽  
pp. 2656
Author(s):  
Ahmed G. Abo-Khalil ◽  
Walied Alharbi ◽  
Abdel-Rahman Al-Qawasmi ◽  
Mohammad Alobaid ◽  
Ibrahim M. Alarifi

This work presents an alternative to the conventional photovoltaic maximum power point tracking (MPPT) methods, by using an opposition-based learning firefly algorithm (OFA) that improves the performance of the Photovoltaic (PV) system both in the uniform irradiance changes and in partial shading conditions. The firefly algorithm is based on fireflies’ search for food, according to which individuals emit progressively more intense glows as they approach the objective, attracting the other fireflies. Therefore, the simulation of this behavior can be conducted by solving the objective function that is directly proportional to the distance from the desired result. To implement this algorithm in case of partial shading conditions, it was necessary to adjust the Firefly Algorithm (FA) parameters to fit the MPPT application. These parameters have been extensively tested, converging satisfactorily and guaranteeing to extract the global maximum power point (GMPP) in the cases of normal and partial shading conditions analyzed. The precise adjustment of the coefficients was made possible by visualizing the movement of the particles during the convergence process, while opposition-based learning (OBL) was used with FA to accelerate the convergence process by allowing the particle to move in the opposite direction. The proposed algorithm was simulated in the closest possible way to authentic operating conditions, and variable irradiance and partial shading conditions were implemented experimentally for a 60 [W] PV system. A two-stage PV grid-connected system was designed and deployed to validate the proposed algorithm. In addition, a comparison between the performance of the Perturbation and Observation (P&O) method and the proposed method was carried out to prove the effectiveness of this method over the conventional methods in tracking the GMPP.


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