IoT Based Solar Power Monitoring System

Gopal, Maisagalla; Prakash, T.; Ramakrishna, N. Venkata; Yadav, Bonthala Prabhanjan

doi:10.1088/1757-899x/981/3/032037

Cited by 61 publications

(12 citation statements)

References 1 publication

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“…Venturing into novel territories, the field witnesses groundbreaking advancements. For instance, the adoption of a unified model predictive control approach in integrated PV and battery storage systems promises higher reliability and compliance with standards [7]. Simultaneously, the digital implementation of control loops for bidirectional converters, enriched with features like maximum power point tracking (MPPT) and highbandwidth current regulation, introduces improved performance and enhanced energy flow management [8].…”

Section: Literature Surveymentioning

confidence: 99%

Design and Implementation of IoT based PV Integrated Power Monitoring System

Brinda,

Singh,

Savitha

et al. 2023

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

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The awareness of usage of power and effective utilization of power is based on intelligent decision, which can help the user as well as supplier. In this paper the design and implementation of IOT based PV integrated system is presented. A hardware prototype is developed with PV module connected to boost converter, Arduino Uno controller, ESP 8266 Wi-Fi module, and Thing speak to monitor a real-time power. The Arduino Uno serves as the central controller, gathering data from smart power meters and PV modules for solar energy generation. The collected data is wirelessly delivered to the ThingSpeak, which provides cloud-based storage, data analysis, and visualization. With these users may remotely monitor usage of power, track solar energy generation, and get notifications for energy utilization.

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Section: Literature Surveymentioning

confidence: 99%

Design and Implementation of IoT based PV Integrated Power Monitoring System

Brinda,

Singh,

Savitha

et al. 2023

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

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“…The application layer implements terminal data processing through the monitoring system, such as data integration, filtering, visualization. [9] The monitoring system platform is built using the Visual Studio 2017 development environment, and the database is built using SQL Server Management Studio 2012. The overall structure block diagram of the power monitoring system is shown in Figure 1.…”

Section: Overall Design Of Power Monitoring Systemmentioning

confidence: 99%

Research and Application of Power Monitoring System Based on Internet of Things

Zhang,

Zhang

2023

Fuzzy Systems and Data Mining IX

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IoT technology is widely used in various fields because of its ability to intelligently process data. The operation of power facilities is closely related to human development. Real-time monitoring of the working conditions of power equipment is conducive to timely handling of faults and greatly reduces unnecessary accidents. This article mainly designs a software monitoring platform based on the Internet of Things framework to realize data collection and processing, wireless transmission, real-time monitoring, fault alarm. In order to improve the accuracy and stability of data processing, this article applies the unscented Kalman filter algorithm to the data processing link. The visualization function of the software monitoring platform can visually present real-time data and historical trends of power equipment in the form of charts and curves providing a user-friendly interface and operating experience. Finally, the functional test was completed on the monitoring platform, which can be used in fields such as power system working status monitoring and power equipment environment monitoring.

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“…Although the Microsoft Azure cloud computing system was applied to record the collected data, a small sort of machine was engaged to collect the produced data. In Reference, 31 ThingSpeak website was deployed to represent the IoT‐aided solar power monitoring system. A Raspberry pi was interfaced to gather the signals from multiple battery sensors.…”

Section: Related Workmentioning

confidence: 99%

Monitoring of renewable energy systems by IoT‐aided SCADA system

Qays

Musse

Mahmud

et al. 2022

Energy Science & Engineering

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With the rapid increase of renewable energy generation worldwide, real‐time information has become essential to manage such assets, especially for systems installed offshore and in remote areas. To date, there is no cost‐effective condition monitoring technique that can assess the state of renewable energy sources in real‐time and provide suitable asset management decisions to optimize the utilization of such valuable assets and avoid any full or partial blackout due to unexpected faults. Based on the Internet of Things scheme, this paper represents a new application for the Supervisory Control and Data Acquisition (SCADA) system to monitor a hybrid system comprising photovoltaic, wind, and battery energy storage systems. Electrical parameters such as voltage, current, and power are monitored in real‐time via the ThingSpeak website. Network operators can control components of the hybrid power system remotely by the proposed SCADA system. The SCADA system is interfaced with the Matlab/Simulink software tool through KEPServerEX client. For cost‐effective design, low‐cost electronic components and Arduino Integrated Development Environment ATMega2560 remote terminal unit are employed to develop a hardware prototype for experimental analysis. Simulation and experimental results attest to the feasibility of the proposed system. Compared with other existing techniques, the developed system features advantages in terms of reliability and cost‐effectiveness.

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IoT Based Solar Power Monitoring System

Cited by 61 publications

References 1 publication

Design and Implementation of IoT based PV Integrated Power Monitoring System

Design and Implementation of IoT based PV Integrated Power Monitoring System

Research and Application of Power Monitoring System Based on Internet of Things

Monitoring of renewable energy systems by IoT‐aided SCADA system

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