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Reference : UMR8506-STEDOU-008
Workplace : GIF SUR YVETTE
Date of publication : Friday, December 18, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 April 2021
Proportion of work : Full time
Remuneration : between 2900 and 3900€ bruts depending on experience
Desired level of education : PhD
Experience required : Indifferent
From the methodologic point of view, the postdoc will work on robustification of existing MPC strategies by adjusting the modeling assumption and the prediction capabilities (scenario, disturbance bounds). On a longer perspective, learning capabilities need to be investigated, allowing to go from the local knowledge at the zonal level to a larger integration of the zone interconnected to the complete network.
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 existing modelling tools in terms of power flow and aim to develop real-time optimization based controllers which manage the congestions.
The safety issues are in the scope of the current project and can be addressed in terms of topological changes and their impact in the predictive control decision making or in the sense of estimation of the global state of the transmission network in presence of the feedback decision making and potential faults.
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) are 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; however, interest in large batteries is growing recently, due to their potential in congestion management. All these levers have to be considered in a generic control design perspective and the methodology for a systematic design need 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.
• Ph.D. degree in electrical engineering, mathematics, or another related area
• Strong background in the area of power and energy systems, and 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)
The L2S (Laboratory of Signals and Systems UMR 8506) is a joint research unit with CNRS, CentraleSupélec, University Paris Saclay . It has around 235 people including 87 permanent staff, 8 IT / PTA, 135 doctoral and post-doctoral students. It is organized into 3 research poles (Signals & Statistics, Automation & Systems and Telecoms & Networks) and 4 research support poles (Human Resources and Communication, Financial Management, IT and Scientific Computing). The laboratory's budget is around 3 M € per year, it is diversified in resources: State subsidy, ANR, H2020, CIFRE agreements, subsidies ...
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