scholarly journals Intelligent PSO-Fuzzy MPPT approach for Stand Alone PV System under Real Outdoor Weather Conditions

2021 ◽  
Vol 03 (01) ◽  
pp. 1-12
Author(s):  
Layachi Zaghba ◽  
◽  
Messaouda Khennane ◽  
Abdelhalim Borni ◽  
Amor Fezzani ◽  
...  
Keyword(s):  
Fuzzy Optimization ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Optimization Approach ◽  
Resistive Load ◽  
Solar Pv ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

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.

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
Keyword(s):  
Low Cost ◽  
Climatic Conditions ◽  
Resistive Load ◽  
Pv System ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
Pv Inverter ◽  
Power Point Tracking ◽  
Power Stage ◽  
Power Point

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.

Optimal Command for Photovoltaic Systems in Real Outdoor Weather Conditions

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi
Keyword(s):  
Maximum Power Point Tracking ◽  
Accurate Determination ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

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.

A brief overview of maximum power point tracking algorithm for solar PV system

2021 ◽  
Author(s):  
C. Pavithra ◽  
Pooja Singh ◽  
Venkatesa Prabhu Sundramurthy ◽  
T.S. Karthik ◽  
P.R. Karthikeyan ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Tracking Algorithm ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Pv System ◽  
Power Point

scholarly journals A Novel Artificial Intelligence based Hybrid Maximum Power Point Tracking Technique for Solar Photovoltaic System

2020 ◽  
Author(s):  
Mohammad junaid Khan
Keyword(s):  
Artificial Intelligence ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Ecological Conditions ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract Backgrounds: Solar photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which relies on ecological conditions such as solar radiation and ambient temperature. In order to obtain continuous maximum power (MP) from PV arrays under varying ecological conditions, maximum power point tracking (MPPT) control methods are employed. MPPT is utilized to extract MP from the solar PV array, high-performance soft computing techniques can be used as an MPPT technique. Results: In order to show the feasibility and performance of the proposed Artificial Intelligence based Perturbe and Observe (AIAPO) MPPT controller, a simulation analysis has been carried out using the PV system. Combined results with different MPPT systems for power, voltage and current waveforms are the output values increase to 272.4W, 157V and 1.74A respectively. Using proposed AIAPO MPPT provides more accurate and stable result as compared to Perturbe and Observe (PO), Fuzzy Logic (FL) and Artificial Neural Network (ANN) based MPPT Technique. As per the experimentation performed by various MPPT techniques are carried out for PV system which are clearly indicating that the comparative analysis of power, voltage and current performance of PV system (i.e. have been recorded 272.4W, 157V and 1.74A) using proposed MPPT method which is better than the PO based MPPT (i.e. 169.1W, 127V, 1.43A), FL based MPPT technique (i.e. 256.9W, 152V, 1.69A) and ANN based MPPT technique (i.e. 265W, 154V, 1.71A) correspondingly. Conclusions: The aim of this paper is to track MPP from the solar PV array by the proposed hybrid controller for irradiation changes and comparing results with PO, FL and ANN based MPPT controllers. Different MPPT techniques have been used to compute MPP and improved efficiency of the PV panel. AIAPO, ANN, FL and PO MPPT methods have been chosen to obtain this objective. Simulation results showing that the system in which proposed control method has been used gives better performance and reduce fluctuations of the MPP as compared to PO, FL and ANN based MPPT technique at rapid changes of irradiation. In order to fabricate a reliable and real time hybrid system, there is a massive scope of research to develop multi-input renewable energy systems.

scholarly journals Experimental Verification of MPPT Algorithms for Photovoltaic Systems

2020 ◽  
Vol 8 (6S) ◽  
pp. 124-129
Keyword(s):  
Duty Ratio ◽  
Photovoltaic Module ◽  
Resistive Load ◽  
Step Size ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
System A ◽  
Perturb And Observe ◽  
Power Point

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.

scholarly journals The Performance Of Solar PV Array......

10.29007/1fq2 ◽  
2018 ◽  
Author(s):  
Sonali Malik ◽  
Dr. Bhupendra Parekh
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Output Side ◽  
Power Point

This paper gives the review of the modelling of solar photovoltaic (PV) array using the basic diode equations and comparison of various Maximum Power point Tracking (MPPT) techniques used for the tracking of maximum power available on the output side of PV array. The PV modelling as well as MPPT algorithms along with a DC-DC boost converter connected to a resistive load for standalone photovoltaic system are simulated and analysed in MATLAB/Simulink.

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