Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

Rivai, Ahmad; Rahim, Nasrudin Abd; Elias, Mohamad Fathi Mohamad; Jamaludin, Jafferi

doi:10.3390/en13010100

Cited by 7 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was achieved by wirelessly controlling both the DC-DC converter and the DC-AC converter in the grid-connected PV system. A novel approach for monitoring a grid-connected PV system was introduced in [16], where each PV module was monitored through a Wireless Sensor Network (WSN) to identify any defective individual modules. The authors of [17] proposed a Zigbee-based monitoring system tailored for a grid-connected PV system.…”

Section: Introductionmentioning

confidence: 99%

Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

El Abbadi,

Aatabe,

Bouzid

2024

Sustainability

View full text Add to dashboard Cite

Integrating a photovoltaic (PV) microgrid system with wireless network control heralds a new era for renewable energy systems. This fusion capitalizes on the strengths of photovoltaic technology, leveraging solar energy for electricity generation while incorporating advanced networked control capabilities. Although employing network communication to facilitate information exchange among system elements offers benefits, it also introduces novel challenges which can hinder fault diagnosis, such as packet loss and communication delay. This paper focuses on a cloud-based fault detection approach for an effective boost converter within a photovoltaic system. Faults are diagnosed using a detection algorithm based on the Lyapunov function, ensuring power optimization. The effectiveness of our approach is demonstrated through simulations of a PV generator model utilizing real-time weather data collected in Brazil, illustrating its robustness through the acquired results.

show abstract

Section: Introductionmentioning

confidence: 99%

Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

El Abbadi,

Aatabe,

Bouzid

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Photovoltaics is a relatively new field in the technical sciences, which deals with the totality of devices for converting solar energy into the most popular and commonly used form of energy -electricity [1]. The performance of photovoltaic systems is unstable over time and is closely dependent on local variable weather conditions [2,3]. Investigating the impact of local weather conditions at the site of the photovoltaic system makes it possible to forecast the amount of energy generated based on weather forecasts, which also influences the optimization of cooperation with local energy storage [4].…”

Section: Introductionmentioning

confidence: 99%

Influence of Selected Weather Conditions on the Photovoltaic System Efficiency in Central Poland – Case Study

Sarniak

2024

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

The article details the data obtained from monitoring the photovoltaic (PV) system in 2021-2023, equipped with a module for measuring basic weather parameters. The PV system under consideration, with a peak output of 3.2 kW p , is connected to the electricity grid and is mounted on the flat roof of the building. The annual relative yields of the generated energy were about 10% less than estimated, and their monthly distributions were asymmetric. In the "summer" months (i.e., from April to September), the PV system generated, on average, about 75% of the whole year's energy. The histograms of the PV system's active power output showed that, on average, about 40% of the time, the PV inverter operated in underloaded mode. For selected weather conditions measured on site, a regression analysis was conducted with the active output power of the PV system. The main objective of the work was to develop a comprehensive method for analysing PV plant monitoring data and the impact of weather conditions on its performance. The proposed method was realized as a case study for central Poland but can be implemented anywhere.

show abstract

“…A built-in health tracking unit installed in a grid-connected PV system is used to test the proposed solution. To detect any faulty module, each PV module is managed via WSN [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Automatic PV Grid Fault Detection System with IoT and LabVIEW as Data Logger

Samkria¹,

Abd‐Elnaby²,

Singh³

et al. 2021

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Fault detection of the photovoltaic (PV) grid is necessary to detect serious output power reduction to avoid PV modules' damage. To identify the fault of the PV arrays, there is a necessity to implement an automatic system. In this IoT and LabVIEW-based automatic fault detection of 3 × 3 solar array, a PV system is proposed to control and monitor Internet connectivity remotely. Hardware component to automatically reconfigure the solar PV array from the series-parallel (SP) to the complete cross-linked array underneath partial shading conditions (PSC) is centered on the Atmega328 system to achieve maximum power. In the LabVIEW environment, an automated monitoring system is developed. The automatic monitoring system assesses the voltage drop losses present in the DC side of the PV generator and generates a decimal weighted value depending on the defective solar panels and transmits this value to the remote station through an RF modem, and provides an indicator of the faulty solar panel over the built-in Interface LabVIEW. The managing of this GUI indicator helps the monitoring system to generate a panel alert for damaged panels in the PV system. Node MCU in the receiver section enables transmission of the fault status of PV arrays via Internet connectivity. The IoT-based Blynk app is employed for visualizing the fault status of the 3 × 3 PV array. The dashboard of Blynk visualizes every array with the status.

show abstract

Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

Cited by 7 publications

References 27 publications

Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

Influence of Selected Weather Conditions on the Photovoltaic System Efficiency in Central Poland – Case Study

Automatic PV Grid Fault Detection System with IoT and LabVIEW as Data Logger

Contact Info

Product

Resources

About