Axial induction controller field test at Sedini wind farm
| Autor: | Renzo Ruisi, Ervin Bossanyi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Control algorithm
Renewable Energy Sustainability and the Environment Computer science 020209 energy lcsh:TJ807-830 020208 electrical & electronic engineering Wind field lcsh:Renewable energy sources Energy Engineering and Power Technology Dynamic control 02 engineering and technology Wake 01 natural sciences Turbine 7. Clean energy 010305 fluids & plasmas Mast (sailing) Setpoint SCADA Control theory 0103 physical sciences 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | Wind Energy Science, Vol 6, Pp 389-408 (2021) |
| ISSN: | 2366-7451 |
| Popis: | This paper describes the design and testing of an axial induction controller implemented on a row of nine turbines on the Sedini wind farm in Sardinia, Italy. This work was performed as part of the EU Horizon 2020 research project CL-Windcon. An engineering wake model, selected for its good fit to historical SCADA data from the site, was used in the LongSim code to optimise turbine power reduction setpoints for a large matrix of steady-state wind conditions. The setpoints were incorporated into a dynamic control algorithm capable of running on-site using available wind condition estimates from the turbines. The complete algorithm was tested in dynamic time-domain simulations using LongSim, using a time-varying wind field generated from historical met mast data from the site. The control algorithm was implemented on-site, with the wind farm controller toggled on and off at 35 min intervals to allow the performance with and without the controller to be compared in comparable wind conditions. Data were collected between July 2019 and early February 2020. The results have been analysed and indicate a positive increase in energy production resulting from the induction control, in line with LongSim model predictions, although a larger volume of valid data would be necessary to provide statistically robust conclusions. The measurements also provide a validation of the LongSim model, proving its value for both steady-state setpoint optimisation and time-domain simulation of wind farm performance. |
| Databáze: | OpenAIRE |
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