IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T

Monitoring systems for On-Grid Photovoltaic Power Systems use IoT technology for real-time performance tracking via the Internet. Typically, these systems involve current and voltage sensors to measure Current, Voltage, Power, Energy, and Power Factor (Cos φ). However, many existing systems do not thoroughly address the accuracy of these measurements. To ensure reliability, a system must achieve measurement accuracy above 90%. This article presents an IoT-based On-Grid photovoltaic power monitoring system designed to measure electrical parameters with high accuracy. The system uses the PZEM004T sensor and NodeMCU ESP8266, which transmits data to the Blynk IoT server over an internet connection. The system's accuracy is assessed using the Mean Absolute Percentage Error (MAPE) calculation. Results show that this system achieves an accuracy of 96.37%, indicating high reliability and suitability for practical use due to its accuracy above 95%. This makes the designed system highly reliable, effective, and feasible for monitoring On-Grid Photovoltaic Power Plants.

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Publication Details

Journal
Mechatronics Electrical Power and Vehicular Technology
Published
2024-12-31
DOI
https://doi.org/10.55981/j.mev.2024.823
Citations
3
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.63
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article

IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T

Teguh Yuwono, Lastoni Wibowo, Retno Wahyusari, Aina Shofia
3 citations
Mechatronics Electrical Power and Vehicular Technology
IoT-based Smart Home Systems
0.63
article

IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T

Teguh Yuwono, Lastoni Wibowo, Retno Wahyusari, Aina Shofia
article en
3 citations

Abstract

Monitoring systems for On-Grid Photovoltaic Power Systems use IoT technology for real-time performance tracking via the Internet. Typically, these systems involve current and voltage sensors to measure Current, Voltage, Power, Energy, and Power Factor (Cos φ). However, many existing systems do not thoroughly address the accuracy of these measurements. To ensure reliability, a system must achieve measurement accuracy above 90%. This article presents an IoT-based On-Grid photovoltaic power monitoring system designed to measure electrical parameters with high accuracy. The system uses the PZEM004T sensor and NodeMCU ESP8266, which transmits data to the Blynk IoT server over an internet connection. The system's accuracy is assessed using the Mean Absolute Percentage Error (MAPE) calculation. Results show that this system achieves an accuracy of 96.37%, indicating high reliability and suitability for practical use due to its accuracy above 95%. This makes the designed system highly reliable, effective, and feasible for monitoring On-Grid Photovoltaic Power Plants.

Mechatronics Electrical Power and Vehicular TechnologyVol. 15(2)
Rongo University (KE)
Affordable and clean energy
Openalex Percentile: Top 30%
IoT-based Smart Home Systems
0.63
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