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Portal > Offres > Offre UMR8506-STEDOU-001 - Post-doctorat (H/F) : Development of an automaton based on MPC (model-based predictive control) for energy network congestions

Postdoctoral position (M/W) : Development of an automaton based on MPC (model-based predictive contr

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR8506-STEDOU-001
Workplace : GIF SUR YVETTE
Date of publication : Thursday, November 21, 2019
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 March 2020
Proportion of work : Full time
Remuneration : monthly gross salary between 2600€ & 2900€, based on experience
Desired level of education : 5-year university degree
Experience required : Indifferent

Missions

This postdoctoral position takes within CPS4EU (https://cps4eu.eu/) European project. The postdoc will focus on the development of a control algorithm using predictive control strategy to address the congestion on the transmission network. Within CPS4EU, the challenges that grid operators are facing to integrate the renewable energy sources (RES) where identified as a key demonstrator for the benefits of CPS design. The classical levers for this industrial application are represented by the network reconfiguration and the curtailment actions but an interest in large batteries is growing recently due to their potential in congestion management. All these levers are to be considered in a generic control design perspective and the methodology for a systematic design are to be developed.

The model-based design will integrate the prior knowledge of the Transmission system Operators (RTE in France) on the dynamics, limitations and interconnections in between subsystems. From the mathematical point of view, this will describe the evolution of the power flows in the transmission network in terms of difference equations with delays in the control. Once the mathematical abstraction is obtained, it will be integrated in the structure of the optimization-based decision-making. This receding horizon optimal-control strategy will handle the feasibility issues and select the optimal decision at the level of levers for the transmission and sub-transmission network.

Activities

From the methodologic point of view, the postdoc will work on the automatic calibration of the MPC in terms of prediction horizons, the weighting factors and the communication architecture in between subsystems. The distributed features of the controller and cooperation between several distributed MPC will be considered in order to obtain an optimal level of robustness and constraints handling.

From the industrial point of view, the challenge will reside in the deployment of this new control level in an efficient manner as a response to the increasing complexity of power systems. The postdoctoral research has as objective the deployment of the MPC in a framework provided by RTE that makes use of the extended middleware providing micro services. The applicative part of the postdoctoral research is the highest priority objective and will measure the success of the project by the deployment of an automaton composed of interfaces to monitor and act on the network, of computing units who implement the optimization algorithms; of telecom links to ensure communication between its distributed components with the ultimate goal of acting on the levers described above.

Skills

Qualifications:
• Ph.D. degree in electrical engineering, mathematics, or another related area
• Strong background in the area of power and energy systems, or in optimization/control theory
• Interested in their applications in power and energy systems
• Experience of publishing high quality research papers
• Speaking and writing English at the scientific and professional level
• Strong abilities (experience) in the implementation of optimization-based control laws (ideally in MPC)

Work Context

The signals and systems laboratory is a common research unit between CNRS, CentraleSupélec and University Paris-Sud located at Gif sur Yvette. It has about 260 people, including 108 permanent members, 120 PhD students and 30 postdocs. The laboratory is structured in 3 thematic groups which are, Signals, Systems and Control, Telecoms and Networks. These 3 research groups can rely on 3 general services, Finance, Human Resources & communication and IT, supervised by an administrator.

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