Key words: advanced robust H-infinity control, structured & LPV uncertainty, LMI formalism, centralized/decentralized implementations, model free control, power systems, smart grids, renewable energy
Context: Ecole Centrale Nantes (ECN) is fully involved in developing advanced analysis and control methods with application in Renewable Energies technologies such offshore and onshore wind, wave and solar. Several important projects funded by the European Commission are run in this field:
H2020 RIA POSYTYF project https://posytyf-h2020.eu/
ECN-RTE (the French TSO) research and teaching chair chairerte.ec-nantes.fr/
Erasmus Mundus Master’s degree DREAM - European Master in Dynamics of Renewables-based Power Systems https://master-dream.ec-nantes.fr/
Approaches developed concern robust model-based control and applications must face challenges of smart grids of the future: stability issues dues to massive integration of power electronics and renewables, control of new grid reinforcements (HVDC lines/grids), new renewable energies and their integration to the grid and ancillary services, etc.
Uncertainties are important in these applications. Past work focused on H-infinity control with unstructured quantification of uncertainty. Fuzzification under the form of TS models has also been considered. Limits of these approaches have been reached for some situations in the aforementioned grid applications. It is intended to extend at this stage analysis for
- structured uncertainty like and LPV (Linear Parametric Varying) synthesis.
- decentralized implementation of the controls of several actuators (generators) to facilitate plug-and-play capabilities of smart grids. For that both classic decentralized approached as well as new ones related to model free control and overlapping control are intended to be investigated.
Tasks:
The recruited person will:
- integrate DSG – Dynamics of the smart grids – team of LS2N to propose and develop control methodologies in the 2 aforementioned directions for power grid applications that we had already developed. The latter will be assimilated with the help of DSG researchers. Constructive comparisons (on existing cases considered as benchmarks) with already developed linear and fuzzy H-infinity solutions and some decentralized implementations will be done to quantify and classify appropriate solutions for identified grid situations and needs.
- as an option, the recruited person could also teach (in English) a limited amount of hours in thematics related to the job research topics in Erasmus DREAM master that DSG is carrying
Competences needed:
The recruited person will relay on DSG knowledge and researchers for the grid cases and already existing controls. Thus knowledge in power systems applications is not mandatory but, of course, could be a big plus. The candidate must have background and experience in model based and decentralized robust control in general and in H-infinity, , LPV synthesis in particular. Postdoctoral experience is highly welcome.
Schedule:
Recruitement: asap/February 2024
Duration : 12 months with possibility of extension in case of a double competence in power systems or if the candidate reach a good trajectory to acquire such competence during the 12 months work in our team
Work will take place in ECN, Nantes-France.
Contact:
Prof. B. Marinescu, Ecole Centrale Nantes, head of the Dynamics of Smart Grids team of LS2N-ECN, Coordinator of the H2020 POSYTYF and Erasmus DREAM projects, Bogdan.Marinescu@ec-nantes.fr, (33) 2 40 37 69 46
