A LoRaWAN based Solar PV Condition Monitoring System
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
2023-03-30Version
- 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 KrishnanProject ID
- 8537 (R-MOE-A403-F033) Comprehensive Online Condition Monitoring System for Distribution Network Component