Multilayer Artificial Approach for Estimating Optimal Solar PV System Power Using the MPPT Technique

Ibnelouad, Aouatif; Kari, Abdeljalil El; Ayad, Hassan; Mjahed, Mostafa

doi:10.24846/v30i4y202110

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…e procedure is repeated for several iterations with randomly generated weights until the desired output is attained. As it is a black box model [37], the technique finds the useful and complex relationship between the input and output variables in attaining the targeted output. Hence, the learning and generalization have been carried out effectively.…”

Section: Feedforward Backpropagation Processmentioning

confidence: 99%

Performance Analysis of FFBP-LM-ANN Based Hourly GHI Prediction Using Environmental Variables: A Case Study in Chennai

Sushmi

Subbulekshmi

2022

Mathematical Problems in Engineering

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Sun is the sustainable and abundantly available alternative resource on the planet Earth. The uncertain nature of the source caused due to various environmental factors increases the need to quantify the irradiation potential at the targeted location, especially for power smoothing processes, solar-fed electrical applications, and the utility grid. The irradiation measuring devices lead to appropriate maintenance and more expenses and are ineffective under dynamically varying irradiation conditions. Hence, a robust ML-based forecasting technique is sufficient to predict GHI under dynamically varying irradiation profiles caused by various environmental factors. Therefore, this study focuses on short-term (hourly) GHI forecasting using the FFBP-LM-ANN approach. In most of the related articles, the selection of independent variables and designing the network is being a challenge and obstacle in attaining fast and efficient prediction. Such a scenario increases the overall computation complexity and understanding. Hence, this study was intended to use a simple process to crucially select 5 environmental factors and to optimally choose the number of neurons for designing the network for better irradiation prediction. Thus, the network is designed with an input layer of 5 selected environmental variables and one hidden layer with 20 neurons, and hourly GHI in the output layer is performed. The approach is trained using the Levenberg-Marquardt BP algorithm in MATLAB toolbox, with the help of a 4-year dataset received for the rooftop panels of VIT University, Chennai, from NREL. The performance of the model during training and testing was validated and analyzed using 9 performance matrices. As a result, FFBP-LM-ANN satisfactorily predicts hourly GHI for the targeted location based on rRMSE of 7.21%, MAE of 0.042, MBE of 0.000492, R of 0.96, MAPE of 44.4%, MRE of 9.5%, and NSE of 94% obtained under testing process. Moreover, the model has performed much better when compared with 9 related models that exist in literature based on the input variables used, network design, epoch, and RMSE. Subsequently, such a predictor will be adaptable and more suitable for the explicit prediction of hourly GHI for different regions across the world having varying climatic conditions, since the study model is designed for locations facing robust climatic nature. More importantly, the designed model is superior with only environmental variables, which are rarely found in the article, rather than geographical variables, which are predominantly used in most of the related literature.

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Section: Feedforward Backpropagation Processmentioning

confidence: 99%

Performance Analysis of FFBP-LM-ANN Based Hourly GHI Prediction Using Environmental Variables: A Case Study in Chennai

Sushmi

Subbulekshmi

2022

Mathematical Problems in Engineering

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“…Although studies and research in the field of renewable energy and energy supply networks have recorded a lot of achievements and made significant progress over the last years, scientific and engineering efforts still need to be identified in the field of energy technologies. New concepts and solutions have been introduced for electric power systems and power generation, especially through the Photo-Voltaic (PV) cells or panels in theoretical and practical ways (Chellal et al, 2021;Ibnelouad et al, 2021). Power electronics research with software tools remain among the best ways to exploit the power produced by any PV cell/ module or panel.…”

Section: Introductionmentioning

confidence: 99%

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

BOUSSAADA¹,

ABDELATI²,

LAHDHIRI³

et al. 2023

SIC

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Photo-Voltaic (PV) panels, whose maximal point is called the Maximum Power Point (MPP), provide extracted electrical power. In order to effectively exploit the PV System (PVS), they must be operated within the limits of this point. Later, it depends on the impedance of the connected load and on the Characteristic Impedance of the PV (CIPV) panel that varies with different climatic conditions. In a well-matched system, the load impedance is close to the CIPV and it operates normally at the MPP (via direct connection). Otherwise, coupling is fairly poor. The load impedance is different from the CIPV and, therefore, it requires the inclusion of MPP Tracking (MPPT) and a DC/DC converter as an adaptive load. In this paper, a new MPPT method based on CIPV matching is proposed. The algorithm structure is simple and easy to implement. This study focuses on how the PVS, tested and evaluated under varying load and climatic conditions, operates with the proposed MPPT controller. The present approach is characterized by a stable oscillation, with a slight fluctuation around the MPP. The controller integrates a variable step-size control and provides a rapid and precise convergence to the MPP. The simulation and experimental results prove the efficiency of the proposed method.

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“…The movement in the fluid. Ayad Hassan et al (2021) [17] were interested in modeling sediment transport in the bay of Capo Negro by analyzing the evolution of the coastline and predicting its long-term position. The known effects of a depression on the seabed are the modification of the swell and the currents.…”

Section: Introductionmentioning

confidence: 99%

Mutual interaction of the free surface and a depression on the bottom during the propagation of a gravity wave

EDDOHA

MOUAKKIR

Chagdali

2022

Preprint

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To know the effect of a simultaneous variation of the two influences, we will point out to the observations in a channel at. Experimental reports in a wave channel will be presented in this work. In this work will therefore ensure that the swell interacts with the bottom by validating empirical and theoretical results. Then, simultaneous measurements of the free surface and the evolution of the bottom are presented. The measurements of the free surface are carried out by the technique of fixed probes and the simultaneous monitoring of the evolution of the depression by processing of images synchronized with the measurements of the probes. We have also, developed an experimental high-sensitivity instrumentation, based on data acquisition using LabVIEW software of the resistive probe method to the perform precise measurements of free area. Pressure coefficients, reflection coefficients, transmission coefficients and filling steps as a function of time in a swell channel in the presence of a bottom depression, simultaneous monitoring of the evolution of the depression by processing images synchronized with the measurements of the probes.

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Multilayer Artificial Approach for Estimating Optimal Solar PV System Power Using the MPPT Technique

Cited by 4 publications

References 17 publications

Performance Analysis of FFBP-LM-ANN Based Hourly GHI Prediction Using Environmental Variables: A Case Study in Chennai

Performance Analysis of FFBP-LM-ANN Based Hourly GHI Prediction Using Environmental Variables: A Case Study in Chennai

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface

Mutual interaction of the free surface and a depression on the bottom during the propagation of a gravity wave

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