Photovoltaic energy generation systems monitoring and performance optimization using wireless sensors network and metaheuristics

Derdar, Abderrahim; Bensiali, Nadia; Adjabi, Mohamed; Boutasseta, Nadir; Bouakkaz, Mohammed Salah; Attoui, Issam; Fergani, Nadir; Bouraiou, Ahmed

doi:10.1016/j.suscom.2022.100684

Cited by 11 publications

(6 citation statements)

References 21 publications

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“…Through detailed analysis of the results obtained through various monitoring activities, solar energy consumption analysis develops appropriate strategies for appropriate infrastructure and technology improvements. IOT device station and IOT systems are strongly interrelated [3]. The performance of processes depends on each other.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, recent advances in accessibility technologies such as unmanned aerial nodes and remotely controlled nodes combined with imaging technology have begun to replace the human element in visual inspection [2]. Such remote monitoring services have provided significant benefits in preventing high-risk human interventions in confined spaces and overworked or hazardous environments [3]. Quality assurance and quality control are two different processes that are used in different ways and for different purposes and have advantages in themselves [4].…”

Section: Introductionmentioning

confidence: 99%

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An IOT Innovation of Smart Solar Energy Consumption Analysis and Control in Micro Grid

Krishnan

Sheela²,

Muthuraj³

et al. 2022

International Journal of Photoenergy

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Solar energy consumption is a systematic study used to review the design of facilities, services, and equipment in an organization against specifications of solar panel. The solar panel energy consumption analysis is a work that should be done at the beginning of a solar energy. This way, potential changes can be highlighted before they affect the solar energy budget and schedule. The proposed model provides the IOT-based smart solar energy consumption analysis and control model by using solar photovoltaic micro grid. The proposed IOT design must meet product and process requirements. The solar panel energy should properly address important aspects of production processes. This should include risks related to product quality and safety. Finally, unacceptable risks must be minimized by design. In the solar energy consumption analysis process, the deliverables should be evaluated; customers should precheck the proposed design and identify problematic areas, if any. Solar energy consumption analysis reveals whether user requirements and features are sufficient to achieve the desired outcome. Likewise, there should be corrective actions for discrepancies found in design reviews.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An IOT Innovation of Smart Solar Energy Consumption Analysis and Control in Micro Grid

Krishnan

Sheela²,

Muthuraj³

et al. 2022

International Journal of Photoenergy

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“…In response to this crucial necessity, contemporary technical advancements have led to the developing of the solar panel wireless monitoring system, an innovative solution that leverages WiFi technology to facilitate instantaneous monitoring and data analysis [4]- [6]. The wireless monitoring system utilises WiFi as its predominant communication channel, enabling uninterrupted and immediate transmission of data between solar panels and the control centre [7], [8] also has a strong and reliable connection that facilitates prompt analysis of essential electrical characteristics, including voltage, current, temperature, and solar panel power output [9], [10]. This technology streamlines maintenance procedures and effectively minimizes downtime by promptly detecting irregularities or panels that are not working optimally [11].…”

Section: Introductionmentioning

confidence: 99%

Wireless internet of things solutions for efficient photovoltaic system monitoring via WiFi networks

Yacine,

Boufeldja

2024

IJEECS

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<div align="center"><span>The imperative for sustainable energy production has necessitated the significant expansion of renewable energy sources, particularly photovoltaic (PV) systems. The utilization of real-time monitoring and data analysis is imperative to enhance the efficiency and performance of photovoltaic systems. This abstract presents developing and deploying a wireless monitoring system for a photovoltaic system. The system utilizes a Raspberry Pi device connected to a WiFi network and an SD card for data storage to enable remote monitoring and management of PV systems. The proposed monitoring system comprises a Raspberry Pi equipped with sensors to measure various parameters such as voltage, current, temperature, and the ambient conditions of the solar panels; the monitoring system can be remotely accessible through the wireless capabilities of the Raspberry Pi, which are activated by establishing a connection to an existing WiFi network. The proposed configuration facilitates the placement of the monitoring station in any desired location, hence eliminating the requirement for intricate wiring connections. These real-time data enable solar system managers to quickly identify anomalies, anticipate breakdowns, and optimise energy production. The paper presents a wireless monitoring system with a cost-effective and scalable solution for monitoring photovoltaic systems.</span></div>

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“…Their findings showed that a prediction algorithm for PV output power may detect a PV sub-system fault in advance. Derdar et al [ 24 ] proposed an Adaptive Network Fuzzy Inference System (ANFIS) versus an Artificial Neural Network (ANN)-based structure using a WSN to evaluate the energy efficiency of PV devices. First, a sensor node monitored the temperature and solar radiation.…”

Section: Introductionmentioning

confidence: 99%

Development and Performance Evaluation of Photovoltaic (PV) Evaluation and Fault Detection System Using Hardware-in-the-Loop Simulation for PV Applications

Tsai

2023

Micromachines

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This paper originally presents a photovoltaic (PV) evaluation and fault detection (PVEFD) system for PV applications based on the Internet of Things (IoT) technology. The PVEFD system consists of an STM32F103C8T6 chip with a 32-bit Arm Cortex-M3 reduced instruction set computer (RISC) and 12-bit resolution analog-to-digital converter (ADC) to measure important parameters of PV applications, such as solar irradiance as well as the back-surface cell temperature, operating voltage, and output current of PV devices. The measured data of irradiance as well as back-surface cell temperature and operating voltage of PV devices are then fed into a built-in PV model in the on-chip Arm Cortex-M3 RISC for hardware-in-the-loop (HIL) simulation to obtain the simulated output current and power of PV devices. The resulting data are transmitted to a cloud server for remote monitoring and automatic warning function through a Raspberry PI 3 module and WiFi network. The simulation results are compared with in-field measurement data from PV modules and displayed on a human–machine interface (HMI) and an Android app. The results of the study illustrated that the proposed system features high accuracy and sufficient confidence. Furthermore, the fault detection function through the built-in HIL simulation function in PV systems was validated. Therefore, the proposed system is a small, compact, and cost-effective HIL-on-chip machine for remote surveillance of PV power systems.

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Photovoltaic energy generation systems monitoring and performance optimization using wireless sensors network and metaheuristics

Cited by 11 publications

References 21 publications

An IOT Innovation of Smart Solar Energy Consumption Analysis and Control in Micro Grid

An IOT Innovation of Smart Solar Energy Consumption Analysis and Control in Micro Grid

Wireless internet of things solutions for efficient photovoltaic system monitoring via WiFi networks

Development and Performance Evaluation of Photovoltaic (PV) Evaluation and Fault Detection System Using Hardware-in-the-Loop Simulation for PV Applications

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