Abstract
This paper has two purposes.
A) It describes a novel database for standardized inverter and storage system analysis based on two yearlong high speed data recording campaign and compiled from two sets of parallel recording of more than 400 parameters with 1-second interval. The data included are among others, 19 parameters form a weather station, PV-plant irradiance, irradiance change, PV plant ambient and cell temperatures, DC/AC voltage and current levels etc.
B) It is demonstrated how to apply the use of said database by applying it to a battery storage system with special focus on rapid charging and discharging requirements to compensate for fast irradiation changes due to clouds. The simulation involves modeling the solar power generation based on data from the database such as solar irradiance and temperature, while considering the dynamic behavior of the battery storage system including charge and discharge rates, state of charge, and efficiency characteristics. The main question to answer is if it is possible to smoothen the negative contributions from clouds moving over the plant by adding a battery storage system and how stable the DC link can become.
The overall purpose of the developed database is to be a standard database covering one year of recordings with a 1-second temporal solution, based on real-life recordings of weather data. This temporal resolution allows the use of the database for simulation and laboratory tests.
An investigation of the use of Markov Transition Field together with the database will also be done. Here the question is if the difference in irradiation over days can be distinguish from each other.
A) It describes a novel database for standardized inverter and storage system analysis based on two yearlong high speed data recording campaign and compiled from two sets of parallel recording of more than 400 parameters with 1-second interval. The data included are among others, 19 parameters form a weather station, PV-plant irradiance, irradiance change, PV plant ambient and cell temperatures, DC/AC voltage and current levels etc.
B) It is demonstrated how to apply the use of said database by applying it to a battery storage system with special focus on rapid charging and discharging requirements to compensate for fast irradiation changes due to clouds. The simulation involves modeling the solar power generation based on data from the database such as solar irradiance and temperature, while considering the dynamic behavior of the battery storage system including charge and discharge rates, state of charge, and efficiency characteristics. The main question to answer is if it is possible to smoothen the negative contributions from clouds moving over the plant by adding a battery storage system and how stable the DC link can become.
The overall purpose of the developed database is to be a standard database covering one year of recordings with a 1-second temporal solution, based on real-life recordings of weather data. This temporal resolution allows the use of the database for simulation and laboratory tests.
An investigation of the use of Markov Transition Field together with the database will also be done. Here the question is if the difference in irradiation over days can be distinguish from each other.
| Originalsprog | Engelsk |
|---|---|
| Titel | IEEE 40th European Photovoltaic Solar Energy Conference |
| Udgivelsessted | IEEE |
| Status | Afsendt - 18. sep. 2023 |
| Begivenhed | 40th European Photovoltaic Solar Energy Conference - Lisbon, Lisbon, Portugal Varighed: 18. sep. 2023 → 22. sep. 2023 Konferencens nummer: 2196-100X https://www.eupvsec.org/index.php |
Konference
| Konference | 40th European Photovoltaic Solar Energy Conference |
|---|---|
| Nummer | 2196-100X |
| Lokation | Lisbon |
| Land/Område | Portugal |
| By | Lisbon |
| Periode | 18/09/2023 → 22/09/2023 |
| Internetadresse |