Design and implementation of data collection scheme for photovoltaic power stations
- DOI
- 10.2991/978-94-6463-415-0_2How to use a DOI?
- Keywords
- Photovoltaic power station; Data collection; Operating data; Environmental monitoring data; Data analysis
- Abstract
With the continuous increase in society’s demand for clean energy, photovoltaic power generation, as an environmentally friendly and renewable form of energy, has attracted much attention. This article mainly studies the data collection issues of photovoltaic power stations, with the photovoltaic power station in the plant of Guoneng Shouguang Power Generation Co., Ltd. as the research object. Design a collection plan by analyzing the types of data and the methods of collection that photovoltaic power station need to collect, including the architecture of the data collection system, data processing and storage, and data display and application. Finally, through the collection of data from the photovoltaic power station within the Guoneng Shouguang Power Generation Co., Ltd., the effectiveness of the data collection scheme is verified.
- Copyright
- © 2024 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 - Tao Zhang AU - Chengshuai Li AU - Dongyang Li AU - Xinbing Gai AU - Wei Wan AU - Jinqiao Zhou AU - Qian Zeng PY - 2024 DA - 2024/05/14 TI - Design and implementation of data collection scheme for photovoltaic power stations BT - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) PB - Atlantis Press SP - 4 EP - 12 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-415-0_2 DO - 10.2991/978-94-6463-415-0_2 ID - Zhang2024 ER -