Photovoltaic Power Plant Monitoring by Using Low-Cost Internet of Things (IoT): Design and Implementation
- DOI
- 10.2991/978-94-6463-180-7_28How to use a DOI?
- Abstract
A study on the monitoring system of a photovoltaic (PV) power plant using low-cost Internet of Things (IoT) technology for monitoring electrical output (voltage and current) and environmental parameters (solar irradiance and cell temperature) to measure the performance of PV power plant has been realized. The prototype design of the monitoring system developed is the integration of several smart sensors, microcontrollers and algorithms that are able to read, send and process data in real-time. The monitoring system’s implementation of IoT involves connecting sensors and devices from specialized systems to a public network using wired or wireless nodes. In general, IoT-based wireless systems are preferred to avoid the risks associated with wired systems. By continuing to focus on the requirements for the foreseeable future, when every gadget will be intelligent, autonomous, and connected to the internet.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Pangeran Yada’ Acang AU - Rahmawati Munir AU - Ahmad Zarkasi AU - Dadan Hamdani PY - 2023 DA - 2023/07/27 TI - Photovoltaic Power Plant Monitoring by Using Low-Cost Internet of Things (IoT): Design and Implementation BT - Proceedings of the International Conference of Tropical Studies and its Applications (ICTROPS 2022) PB - Atlantis Press SP - 258 EP - 265 SN - 2468-5747 UR - https://doi.org/10.2991/978-94-6463-180-7_28 DO - 10.2991/978-94-6463-180-7_28 ID - Acang2023 ER -