scholarly journals Data-Driven Photovoltaic System Modeling Based on Nonlinear System Identification

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Ayedh Alqahtani ◽  
Mohammad Alsaffar ◽  
Mohamed El-Sayed ◽  
Bader Alajmi
Keyword(s):  
System Identification ◽  
System Modeling ◽  
Nonlinear System Identification ◽  
Power Converter ◽  
Photovoltaic System ◽  
Pv System ◽  
Potential Growth ◽  
Power Sources ◽  
Pv Panel ◽  
Highly Nonlinear

Solar photovoltaic (PV) energy sources are rapidly gaining potential growth and popularity compared to conventional fossil fuel sources. As the merging of PV systems with existing power sources increases, reliable and accurate PV system identification is essential, to address the highly nonlinear change in PV system dynamic and operational characteristics. This paper deals with the identification of a PV system characteristic with a switch-mode power converter. Measured input-output data are collected from a real PV panel to be used for the identification. The data are divided into estimation and validation sets. The identification methodology is discussed. A Hammerstein-Wiener model is identified and selected due to its suitability to best capture the PV system dynamics, and results and discussion are provided to demonstrate the accuracy of the selected model structure.

scholarly journals An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

2018 ◽  
Vol 7 (4.35) ◽  
pp. 457
Author(s):  
M. I. Iman ◽  
M. F. Roslan ◽  
Pin Jern Ker ◽  
M. A. Hannan
Keyword(s):  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

scholarly journals Development of a photovoltaic characteristics generator based on mathematical models for four PV panel technologies

2020 ◽  
Vol 10 (6) ◽  
pp. 6101
Author(s):  
Samia Jenkal ◽  
Mustapha Kourchi ◽  
Driss Yousfi ◽  
Ahmed Benlarabi ◽  
Mohamed Larbi Elhafyani ◽  
...  
Keyword(s):  
Power Converter ◽  
Electrical Circuit ◽  
Voltage Characteristic ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Current Voltage Characteristic ◽  
Experimental Database ◽  
Pv Panel ◽  
Current Voltage ◽  
The Look

A good study of photovoltaic system requests to have very precise current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.

scholarly journals Development of Photovoltaic Inverter for AC Load

2017 ◽  
Vol 3 (4) ◽  
pp. 28
Author(s):  
Nur Fairuz Mohamed Yusof ◽  
Mazwin Mazlan
Keyword(s):  
Light Emitting Diode ◽  
Harmonic Distortion ◽  
Photovoltaic System ◽  
Oxide Semiconductor ◽  
Solar Pv ◽  
Pv System ◽  
Software Simulation ◽  
Pv Panel ◽  
Ideal System ◽  
Power Switches

This project presents the development of Photovoltaic (PV) push-pull inverter for alternating current (AC) application. There are two main systems in this project which is the PV system and the inverter system. The photovoltaic system consists of the PV panel which is used to seep sunshine to recharge the battery and the solar charger controller circuit that prevent battery from surpluses voltage is connected between solar PV and battery. While the push-pull inverter play a pivotal role in switching from direct current (DC) voltage to AC voltage for the inverter system. Then the AC voltage rose to 230 V by using transformer. The push-pull inverter switching is controlled by a multi-vibrator driver circuit. This project used two light emitting diode (LED) light bulb as an AC load and Metal Oxide Semiconductor Field Effect Transistor (MOSFETs) as the power switches. This project had been analysed through software and hardware prototype for comparison purposed. The efficiency of ideal system that obtains from software simulation is 94.9% while for the hardware prototype is nearly to 95%. While the total harmonic distortion (THD) for both voltage and current is 48.32% from software simulation and 47.9% from hardware prototype analysis. The results have been found in good agreement with the analysis presented in this paper.

scholarly journals Nonlinear System Identification in coherence with Nonlinearity measure for Dynamic Physical systems- Case Studies

2021 ◽  
Author(s):  
Joanofarc Xavier ◽  
Rames C Panda ◽  
SK Patnaik
Keyword(s):  
Nonlinear Dynamics ◽  
System Identification ◽  
Nonlinear System ◽  
Case Studies ◽  
Nonlinear System Identification ◽  
Least Square ◽  
Measurement Tool ◽  
Identification Methods ◽  
Physical Systems ◽  
Highly Nonlinear

Abstract With the recent success of using the time series to vast applications, one would expect its boundless adaptation to problems like nonlinear control and nonlinearity quantification. Though there exist many system identification methods, finding suitable method for identifying a given process is still cryptic. Moreover, to this notch, research on their usage to nonlinear system identification and classification of nonlinearity remains limited. This article hovers around the central idea of developing a ‘kSINDYc’ (key term based Sparse Identification of Nonlinear Dynamics with control) algorithm to capture the nonlinear dynamics of typical physical systems. Furthermore, existing two reliable identification methods namely NL2SQ (Nonlinear least square method) and N3ARX (Neural network based nonlinear auto regressive exogenous input scheme) are also considered for all the physical process-case studies. The primary spotlight of present research is to encapsulate the nonlinear dynamics identified for any process with its nonlinearity level through a mathematical measurement tool. The nonlinear metric Convergence Area based Nonlinear Measure (CANM) calculates the process nonlinearity in the dynamic physical systems and classifies them under mild, medium and highly nonlinear categories. Simulation studies are carried-out on five industrial systems with divergent nonlinear dynamics. The user can make a flawless choice of specific identification methods suitable for given process by finding the nonlinear metric (Δ0). Finally, parametric sensitivity on the measurement has been studied on CSTR and Bioreactor to evaluate the efficacy of kSINDYc on system identification.

scholarly journals Design and simulation of 20MW photovoltaic power plant using PVSyst

2020 ◽  
Vol 19 (1) ◽  
pp. 58
Author(s):  
Ashish Grover ◽  
Anita Khosla ◽  
Dheeraj Joshi
Keyword(s):  
Software Tool ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Pv System ◽  
Projected Area ◽  
Pv Panel ◽  
Photovoltaic Power ◽  
Geographical Position ◽  
Photovoltaic Plant ◽  
And Behavior

<p>This   paper deeply explains the analysis through simulation and sizing of grid connected photovoltaic plant of 20MW for the site Devdurga, Karnataka India with use of PV syst software tool. Primarily, the trajectories the behavior of grid tied photovoltaic system at a particular location. It gives results for the geographical position taken by maps for avoiding the oversizing or under sizing of the systems which projects the installation with very much realistic conditions. The projected area is of about 110 acres would generate 44854 MWh/year for a 20MW PV system, with a performance ratio of 76.28%.Loss fraction taken for simulation and sizing is 2%.The paper also includes the study and behavior of the system   with tilt and orientation of the PV Panel which gives better simulation results at similar latitudes for any feasible sizing.</p>

Thermodynamic Performance of a Photovoltaic System

2008 ◽  
Author(s):  
Anand S. Joshi ◽  
Ibrahim Dincer ◽  
Bale V. Reddy
Keyword(s):  
Solar Radiation ◽  
Fill Factor ◽  
Exergy Analysis ◽  
Power Conversion ◽  
Thermodynamic Characteristics ◽  
Photovoltaic System ◽  
Pv System ◽  
Pv Panel ◽  
Thermodynamic Performance ◽  
Current Area

In this paper, an attempt is made to investigate the thermodynamic characteristics of a photovoltaic (PV) system based on exergy. A new efficiency is developed that is useful in studying the PV performance and possible improvements. Exergy analysis is applied to a PV system and its components, in order to evaluate the effect of various parameters e.g., voltage, current, area of the PV panel, fill factor and ambient temperature on exergy efficiency. Effect of solar radiation on power conversion efficiency is also evaluated.

scholarly journals Behavior of Photovoltaic System during Solar Eclipse in Prague

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Martin Libra ◽  
Pavel Kouřím ◽  
Vladislav Poulek
Keyword(s):  
Solar Eclipse ◽  
Power Plants ◽  
Large Scale ◽  
Relative Size ◽  
Photovoltaic System ◽  
Natural Phenomenon ◽  
Pv System ◽  
Theoretical Assumption ◽  
Pv Panel ◽  
The Impact

PV power plants have been recently installed in very large scale. So the effects of the solar eclipse are of big importance especially for grid connected photovoltaic (PV) systems. There was a partial solar eclipse in Prague on 20th March 2015. We have evaluated the data from our facility in order to monitor the impact of this natural phenomenon on the behavior of PV system, and these results are presented in the paper. The behavior of PV system corresponds with the theoretical assumption. The power decrease of the PV array corresponds with the relative size of the solar eclipse.I-Vcharacteristics of the PV panel correspond to the theoretical model presented in our previous work.

scholarly journals An Efficient Intelligent Power Detection Method for Photovoltaic System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Detection Method ◽  
Peak Load ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Weather Data ◽  
Weather Factors ◽  
Pv System ◽  
Intelligent Technique ◽  
Highly Nonlinear ◽  
Validation Set

Jordan has experienced a significant increase in both peak load and annual electricity demand within the last decade due to the growth of the economy and population. Photovoltaic (PV) system is one of the most popular renewable energy source in Jordan. PV system is highly nonlinear with unpredictable behavior since it is always subject to many external factors such as severe weather conditions, irradiance level, sheds, temperature, etc. This makes it difficult to maintain maximum power production around its operation ranges. In this paper, an intelligent technique is used to predict and identify the working ability of the PV system under different weather factors in Tafila Technical University (TTU) in Jordan. It helps in optimizing power productions for different operation points. The PV system in Tafila with size 1 MWp PV generated 5.4 GWh since 2017. It saves about € 1.5 million in three years. A real power data from the PV system and a weather data from world weather online site of TTU location are used in this study. Decision tree technique is employed to identify the relation between the output power and weather factors. The results show that the system accuracy is 82.01% during the training phase and 93.425 % on the validation set.

scholarly journals Particle Swarm Optimization Technique for Photovoltaic System

2020 ◽  
Vol 8 (5) ◽  
pp. 1448-1451
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Swarm Optimization ◽  
Power Extraction ◽  
Pv Panel ◽  
Particle Swarm Optimization Technique

Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.

Sign in / Sign up

Export Citation Format

Share Document