Singapore Institute of Technology
Browse
A LoRaWAN based Solar PV Condition Monitoring System.pdf (4.64 MB)

A LoRaWAN based Solar PV Condition Monitoring System

Download (4.64 MB)

This paper presents the design and performance of a low-cost, low-power remote condition monitoring (CM) solution for large-scale solar photovoltaic (PV) systems. The developed CM solution utilises ESP-NOW and Long Range Wide Area Network (LoRaWAN) wireless communication protocols for data exchanges. The developed solution operates in selfpower mode, with each IoT node capable of monitoring up to 16 channels of voltage, current, and temperature of the PV panels. The 2.4GHz ESP-NOW wireless communication protocol is used for data transfer between the IoT nodes in a many-to one configuration. The transceiver node stores messages from all IoT nodes and broadcasts them via the LoRaWAN network to the server. The developed hardware and software solutions were tested to measure the accuracy and reliability of the CM system. As a result, a fully-functioning low-cost solar PV CM system is developed, with an overall sensor measurement error of less than 3%, with an average Received Signal Strength Indicator (RSSI) of -105dBm in non-line-of-sight conditions.

History

Journal/Conference/Book title

2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 14-17 Dec 2022.

Publication date

2023-03-30

Version

  • Post-print

Rights statement

Q. Ziyuan, D. R. Thinesh, V. Ayyalusamy, B. Sivaneasan, K. T. Tan and K. J. Tseng, "A LoRaWAN Based Solar PV Condition Monitoring System," 2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Jaipur, India, 2022, pp. 1-6, doi: 10.1109/PEDES56012.2022.10080221. © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Corresponding author

Sivaneasan Bala Krishnan

Project ID

  • 8537 (R-MOE-A403-F033) Comprehensive Online Condition Monitoring System for Distribution Network Component

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC