scholarly journals Numerical Modelling and Digitalization Analysis for a Photovoltaic Pumping System Placed in the South of Romania

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2778
Author(s):  
Laurentiu Fara ◽  
Dan Craciunescu ◽  
Silvian Fara
Keyword(s):  
Large Scale ◽  
Simulation Software ◽  
Energy Yield ◽  
Solar Pv ◽  
Pv Systems ◽  
Pumping System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Monthly Total ◽  
Power Point

The authors studied a working off-grid type photovoltaic (PV) pumping system for irrigation use. The methodology was based on digitalization analysis and numerical modeling as a preliminary stage. A mathematical model of the PV pumping installation considered the determination of the characteristic equations for all its components. These have been used together with the SISIFO simulation software to achieve the performances of the mechanical and electrical components of an advanced PV pumping system. Its global performance features, namely the monthly energy yield, monthly pumping yield, and monthly total performances (energy and flow rate) were introduced. Digital platform (DP) for PV systems characterized by three advanced technologies—machine learning (ML), digital twin (DT) and artificial intelligence (AI) was developed. The simulation results were discussed for a specific case study conducted for a location in the Southern Romania regarding the irrigation potential, taking into account the main meteorological parameters: solar irradiance and ambient temperature, related to the site. The AI approach was implemented to achieve an optimum operation of the PV pumping system by the use of the maximum power point tracking (MPPT) method and the MATLAB/Simulink software. A unified development of all the components of the PV pumping system using the SISIFO simulation software was established by the authors, with major implications in the development of solar PV installations on large-scale.

scholarly journals Evaluation of Power Quality Issues in grid Connected PV Systems

2016 ◽  
Vol 6 (4) ◽  
pp. 1412 ◽  
Author(s):  
Gunjan Varshney ◽  
D S Chauhan ◽  
M P Dave
Keyword(s):  
Power Quality ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Quality Issues ◽  
Power Point

<p>This paper deals with the evaluation of power quality issues in grid connected PV systems. This paper also presents  complete simulation, modeling and control of three phase grid connected solar PV module with Maximum Power Point Tracking. Perturb and Observe (P&amp;O) method has been used for Maximum Power Point Tracking. In the proposed model DC bus voltage control , harmonic mitigation and power factor control are discussed as power quality issues. The simulation results are shown in the graphical waveforms and simulation is performed in MATLAB using SIMULINK environment and PSB toolboxes. <strong> </strong></p>

Novel MPPT Schemes with Direct Duty Ratio Perturbation for Solar PV Systems

2012 ◽  
Vol 622-623 ◽  
pp. 1039-1047
Author(s):  
P. Venkata Sriram ◽  
Bhattacharya Swagnik
Keyword(s):  
Research Work ◽  
Standard Test ◽  
Duty Ratio ◽  
Solar Pv ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Direct Duty ◽  
Power Point

The Maximum Power Point Tracking (MPPT) is a very important function in a Solar Photovoltaic (SPV) system. While previous research has been focussed on optimizing the performance of the MPPT, there is further scope to improve upon the MPPT efficiency without compromising on the complexity of the MPPT technique in terms of the algorithm and hardware requirements. The research work presented in this paper aims to address this gap. The paper presents two novel MPPT schemes which are the proposed Perturb and Observe (P&O) and proposed Incremental Conductance (IC) methods based on two-step control and direct duty ratio perturbation. The proposed techniques are efficient, computationally less complex and hardware minimal than previous study in this field. For verification, simulation has been performed for extensive irradiation profiles of Standard Test Conditions (STC), rapidly changing and gradually changing insolation conditions which are representative of the boundary cases. Results of the proposed MPPT methods are compared with that of conventional MPPT methods. The results show that proposed MPPT schemes have excellent tracking efficiency and dynamic response with respect to previous research.

scholarly journals POWER ENHANCEMENT BY DESIGNING AN ADAPTIVE REFERENCE MPPT ALGORITHM FOR SOLAR POWER SYSTEM

2018 ◽  
Vol 4 (12) ◽  
pp. 8
Author(s):  
Neha Singh ◽  
Prof. Govind Prasad Pandiya
Keyword(s):  
Power Output ◽  
Weather Conditions ◽  
Solar Pv ◽  
Digital Controllers ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Enhancement ◽  
Power Point

To maximize solar Photovoltaic (PV) output under dynamic weather conditions, Maximum Power Point Tracking (MPPT) controllers are incorporated in solar PV systems. Implementing the MPPT algorithm through digital controllers is easier if it is possible to minimize error functions. The differences between the various MPPT techniques are very slight and they can be evaluated according to the situation. In this work a modified version of adapative reference voltage algorithm has been designed. The model has been simulated in MATLAB/ SIMULINK environment. The modeling of adaptive reference PSO based MPPT algorithm has resulted in considerable improvement in the power output from the PV module. The power output with adaptive reference PSO MPPT algorithm at the load terminal has improved from 3959 Watts to 4969 watts approximately.

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