Design and implementation of an automatic solar tracking system for a monocrystalline silicon material panel using MPPT algorithm

Rajesh, T.; Tamilselvan, K. S.; Vijayalakshmi, A.; Kumar, Ch. Narendra; Reddy, K. Ashoka

doi:10.1016/j.matpr.2020.08.635

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Consequently, its investment cost is higher, however, its efficiency is high because, under photovoltaic system operating conditions, it follows the solar path horizontally and vertically at the same time [64]. Additionally, by presenting greater efficiency than the 1D system, its level of technological development is higher, generating a large number of technological applications worldwide [65] [66].…”

Section: Two Axis Solar Tracking Subsystem (2d)mentioning

confidence: 99%

Evaluation of solar tracking systems applied to small-scale photovoltaic systems: a review

Romero

Carreño-Rodriguez

Quintero-Ruiz

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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This work evaluates solar tracking systems in application to small-scale photovoltaic systems. To do this, these systems are divided into two subsystems: one-axis solar tracking subsystem and two-axis solar tracking subsystem. Each is explored for its suitability as a suitable technology for small-scale application, defined by meeting a set of seven attributes. A specialized literature review process was developed specifically to present the potential of each subsystem evaluated, through an evaluation matrix. The analysis of solar tracking technologies and attributes was carried out through the formal concept analysis methodology. To facilitate the processing of information, a free access tool called concept Explorer is used. The analysis carried out shows that two-axis solar tracking systems are the most promising option as they meet a greater number of attributes than single-axis tracking systems. The applied methodology has proven to be useful for the evaluation of renewable technologies and serves as a reference, to carry out analyzes that group and link different alternatives as a model for evaluating a deterministic set of attributes.

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Section: Two Axis Solar Tracking Subsystem (2d)mentioning

confidence: 99%

Evaluation of solar tracking systems applied to small-scale photovoltaic systems: a review

Romero

Carreño-Rodriguez

Quintero-Ruiz

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…To compute the IB3DMs' model parameters, first the I P is calculated using G and T from equation (1). Next, we define the objective function as the root mean square error between the experimental V-I and the estimated model is given by,…”

Section: B the Ib3dm Parameter Computationmentioning

confidence: 99%

“…A. Motivation E XPONENTIAL growth in photovoltaic (PV) deployments has raised interest in its reliable operation [1]. As PV panels are installed in harsh environments and subjected to varying weather conditions, they are prone to diverse faults (permanent, incipient, and intermittent) with different severity levels [2].…”

Section: Introductionmentioning

confidence: 99%

Explainable Incipient Fault Detection Systems for Photovoltaic Panels

Sairam,

Srinivasan,

Marafioti

et al. 2020

Preprint

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This paper presents an eXplainable Fault Detection and Diagnosis System (XFDDS) for incipient faults in PV panels. The XFDDS is a hybrid approach that combines the modelbased and data-driven framework. Model-based FDD for PV panels lacks high fidelity models at low irradiance conditions for detecting incipient faults. To overcome this, a novel irradiance based three diode model (IB3DM) is proposed. It is a nine parameter model that provides higher accuracy even at low irradiance conditions, an important aspect for detecting incipient faults from noise. To exploit PV data, an extreme gradient boosting (XGBoost) is used due to its ability to detecting incipient faults. Lack of explainability, feature variability for sample instances, and false alarms are challenges with data-driven FDD methods. These shortcomings are overcome by hybridization of XGBoost and IB3DM, and using eXplainable Artificial Intelligence (XAI) techniques. To combine the XGBoost and IB3DM, a faultsignature metric is proposed that helps reducing false alarms and also trigger explanation on detecting incipient faults. To provide explainability, an eXplainable Artificial Intelligence (XAI) application is developed. It uses the local interpretable model-agnostic explanations (LIME) framework and provides explanations on classifier outputs for data instance. These explanations help field engineers/technicians for performing troubleshooting and maintenance operations. The proposed XFDDS is illustrated using experiments on different PV technologies and our results demonstrate the perceived benefits.

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“…Based on the study of P. K. Devan et al [1], the fossil fuel-based energy resource has a significant impact on the global warming situation. T. Rajesh et al [2] claimed that due to natural causes and human activities such as global warming and greenhouse gasses, the climate has reached a critical situation. Akhil Raj K R et al [3] claimed that fossil fuel is a supplier of 85% of energy production, and fossil fuel has costeffectiveness and cost changing based on needs and use.…”

Section: Introductionmentioning

confidence: 99%

Influence of Micro-Controller-Based Single Axis Solar Tracker System on Solar Panel’s Performance: Case Study

Jaafar

Maarof

2022

NTU-JRE

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There is governmental, academic, and business interest in new emerging renewable energy sources, such as solar energy. In particular, how and how much it produces energy and the environmental impact of these sources. To highly benefit from renewable energies, new methods should be utilized. In this paper, the Microcontroller Arduino Uno board has been used and programmed by Arduino software to build a system as a photo-sensor (Active) Single Axis Solar Tracker System (SASTS). The system was created using a solar panel, two Light Dependent Resistance (LDR) have been used on the two sides (north/south) of the photovoltaic (PV), and a servo motor is connected to the Uno board. The tracking system is constructed to procure the data using the Microcontroller Uno board and specially designed mechanical base. Based on the extracted results, the influence of the SASTS on increasing the solar panel performance is more evident than the outcome Maximum Power Point (MPP) of MATLAB Simulink. Continuously, the SASTS searches for the sun and its position in the sky and puts the PV direct to the sun. Significantly, the tracker system raises the power ratio of the PV. As a result, it significantly increases the solar panel's performance and increases by 55.2% on average during the daytime.

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Design and implementation of an automatic solar tracking system for a monocrystalline silicon material panel using MPPT algorithm

Cited by 7 publications

References 6 publications

Evaluation of solar tracking systems applied to small-scale photovoltaic systems: a review

Evaluation of solar tracking systems applied to small-scale photovoltaic systems: a review

Explainable Incipient Fault Detection Systems for Photovoltaic Panels

Influence of Micro-Controller-Based Single Axis Solar Tracker System on Solar Panel’s Performance: Case Study

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