scholarly journals Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model

2021 ◽  
Author(s):  
Tuyen Duc Nguyen ◽  
Thinh Viet Le ◽  
Goro Fujita
Keyword(s):  
Real Time ◽  
Photovoltaic Generation ◽  
Generation Characteristic

scholarly journals A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3293
Author(s):  
Gustavo Costa Gomes de Melo ◽  
Igor Cavalcante Torres ◽  
Ícaro Bezzera Queiroz de Araújo ◽  
Davi Bibiano Brito ◽  
Erick de Andrade Barboza
Keyword(s):  
Real Time ◽  
Renewable Resources ◽  
Low Cost ◽  
Photovoltaic System ◽  
Meteorological Variables ◽  
Data Set ◽  
Photovoltaic Generation ◽  
Network Time ◽  
Network Time Protocol ◽  
Continuous Current

Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices’ clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.

Sign in / Sign up

Export Citation Format

Share Document