Control Strategies For A Wind Farm Based On A Simplified Dynamical Wake Modeling

Universities and Institutes of France
September 30, 2023
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
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22 Aug 2023

Job Information

Organisation/Company

IFP Energies Nouvelles

Research Field

Engineering

Technology » Energy technology

Mathematics

Researcher Profile

Recognised Researcher (R2)

Leading Researcher (R4)

First Stage Researcher (R1)

Established Researcher (R3)

Country

France

Application Deadline

30 Sep 2023 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Offer Starting Date

1 Nov 2023

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

In the field of wind energy, operators are now focusing on using wind turbines located in wind farms in the best possible way, to either produce the maximum energy possible, or produce the right amount of energy at the right time, to meet power grid requirements while limiting the wind turbine mechanical stress, in order to eventually minimize the cost of energy.

It is possible to limit the interactions between a turbine wake and the downwind turbines by controlling its yaw angle and power produced, and thus alleviating the production losses and mechanical fatigue. In this context, our central question will be “How to robustly minimize a wind farm cost of energy via a control algorithm using a dynamic wind farm flow model, and how to implement it in real world”. The PhD results will contribute to three major advances: 1. Develop wind farm control strategies based on a time-varying wake modeling and evaluate their added value. 2. Define a cost criterion allowing to efficiently minimize the cost of energy over long time horizons. 3. Contribute to the implementation and deployment of the developed control algorithms and prove and illustrate their robustness and efficiency.

Funding category: Financement public/privé Contrat de thèse IFP Energies Nouvelles PHD title: Doctorat d'automatique et traitement du signal PHD Country: France

Requirements

Specific Requirements

The candidate must graduated with a Master of Science or from an engineering school with specific skills, in either control systems engineering, applied mathemathics or mechanical engineering, and physical sense of things would be appreciated. The candidate must be fluent in english and speaks french or have the willingess to learn french language.

Additional Information Work Location(s)

Number of offers available

1

Company/Institute

IFP Energies Nouvelles

Country

France

City

Solaize
Where to apply

Website

https: // www. abg.asso.fr/fr/candidatOffres/show/idoffre/116247

Contact

Website

https:// www. ifpenergiesnouvelles.fr

STATUS: EXPIRED

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