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TotalControl

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Advanced integrated supervisory and wind turbine control for optimal operation o...

Advanced integrated supervisory and wind turbine control for optimal operation of large Wind Power Plants Cost of energy (COE) is the most important single factor in deployment of renewables in the energy system. Reduction of COE is, among other things, directly related to operational control of Wind Power Plants (WPP) as a whole and... see more

31/05/2022

TECHNICAL UNIVERSI...

5M€

Project Budget: 5M€

Project leader

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 11 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2022-05-31

LCE-07-2016-2017: Developing the next generation tech...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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No hay información privada compartida para este proyecto. Habla con el coordinador.

11 Participantes

TECHNICAL UNIVERSITY OF DENM...

1.64M€ | Leader

BEYONDER AS

80.00K€ | participant

KU Leuven

626.88K€ | participant

DNV UK

599.25K€ | participant

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Project duration: 54 months Date Start: 2017-11-20
End date: 2022-05-31

Project leader

DANMARKS TEKNISKE UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description Cost of energy (COE) is the most important single factor in deployment of renewables in the energy system. Reduction of COE is, among other things, directly related to operational control of Wind Power Plants (WPP) as a whole and the individual wind turbines (WT) within them. In the Total Control project the COE reduction will be pursued by developing and validating advanced integrated WPP/WT control schemes, where all essential interactions between the WPP WT’s are accounted for including both production and load aspects. Optimal WPP control is traditionally formulated as a one-parameter optimization problem focusing on the WPP production only. However, ultimately the optimal WPP performance should result from a multi objective optimization problem, where the optimal economic performance of a WPP is pursued over the WPP life time, conditioned on external grid demands. This is what Total Control is about. The suggested integrated WPP/WT control approach seeks the optimal economical WPP revenue – i.e. the optimal economic balance between WPP power production and WPP operational costs. This is done by developing hierarchically coupled WPP and WT control schemes conditioned on a set of superior grid operator demands. In the WPP control design phase information is only fed from the WPP controller to the individual WT controllers, whereas in on-line operational control available WT and WPP flow field information will be assimilated into the WPP control for optimal system performance. Furthermore, the WPP controller will also make use of current market information (e.g. energy price, demand for ancillary services etc.) as well as information about the state of individual turbines (e.g. current operational state, maintenance requirements and component lifetime consumption) to allow COE objectives to be optimised dynamically.

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