PhD opportunities

Decision making method for development of systems coupling renewable production and flexibility in a market environment.

Thesis proposal

Area of expertiseEnergétique et génie des procédés
Doctoral SchoolISMME - Systems Engineering, Materials, Mechanics, Energy
SupervisorM. Robin GIRARD
Research unitEnergy and Processes
Starting dateOctober 1st 2021
KeywordsEnergy transition, Optimisation, Planing, Prediction, Modeling, Flexibility
Abstract* Context and challenges *: Renewable electricity sources play an increasingly important role in energy mixes. The dependence of the corresponding production on meteorological conditions (sunshine, hydrological regimes, winds, etc.) is a major obstacle to their development, with respect to which there are several kinds of so-called flexibility solutions. These act at different spatial and temporal scales, sometimes concurrently: demand management, curtailment of renewable production, large-scale interconnections, mechanical or chemical storage, electricity conversion to methane, hydrogen or heat. At the same time, production project developers have to adapt to the end of feed-in tariffs, and sell their production across different markets. This reinforces the need for new quantitative decision-support methods for the development of renewable projects coupled with flexibility, such as hydrogen or batteries.

The exact list of key elements that have to be integrated in models is still to be determined, and it is this integration that constitutes the *main objective of this thesis *. This could include sizing options linked to the local context and which are already fairly standard today, such as the wind and sun resource, the space available, the categories of nearby consumers, or the local constraints of the network. A challenge will be to integrate a model reflecting the complex and uncertain operational framework in which the revenues are to be obtained, both with regard to the integration in the different markets (PPA, D-1, intraday, ...) where the production is sold, or with respect to operational constraints linked either to local consumption, network congestions, or flexibilities operation. Finally, it will be necessary to integrate the impact of future structural changes on the energy system, such as the increase in renewable production which impacts the price dynamics, the evolution of the costs and performance of the various technological options, the regulatory mechanisms specific to calls for tenders considered if the project is not set up on a pure market, or even the impact of developer's portfolio on the use and the benefits which will be made from the new investments. From a scientific point of view, the difficulty will be to define and validate an investment strategy which is indeed capable of integrating all the richness of the problem (multi-scale in terms of time and space, multi-market, under several uncertainties, adaptable to different contexts) without unnecessary complexity, which is often a source of error.

The first step in this thesis will be a bibliographic research integrating, among other things, the previous work developed at the PERSEE center on peripheral subjects: modeling of market price dynamics evolution in a context of energy transition [Sim], short-term prediction of renewable production [Pred], optimization for the management, positioning and sizing of storage [Sto], and more generally optimization of flexibility in the planning of the electrical system [Flex], or optimization of energy systems including hydrogen [H2]. The student will then be able to propose an innovative method allowing decision support by gradually increasing the complexity of the model and seeking to quantify the value of each addition.

* Results *: The result of this thesis will be a set of innovative methodologies for decision support, as well as computer prototypes implemented in python.
[Sim] Simulation long terme de la dynamique des prix sur le marché de l’électricité.
Thèse de Valentin Mahler, soutenance décembre 2021. Article de conférence :
[Sim-1] Valentin Mahler, Robin Girard, Sébastien Billeau, Georges Kariniotakis. Simulation of day-ahead electricity market prices using a statistically calibrated structural model. 16th European Energy Market Conference (EEM 2019), IEEE PES, Sep 2019, Ljubljana, Slovenia.
[Pred] Short term forecasting of electricity, there are several papers and past PhD in our center PERSEE. A recent one : Ghislain Agoua
[Pred-1] Xwégnon Ghislain Agoua, Robin Girard, Georges Kariniotakis. Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production. IEEE Transactions on Sustainable Energy , IEEE, 2018, 9 (2), pp. 538 - 546.
[Pred-2] Alexis Gérossier, Robin Girard, Alexis Bocquet, Georges Kariniotakis. Robust Day-Ahead Forecasting of Household Electricity Demand and Operational Challenges. Energies, MDPI, 2018, 11 (12), pp.3503.
[Sto-1] Etta Grover-Silva, Miguel Heleno, Salman Mashayekh, Gonçalo Cardoso, Robin Girard, et al.. A Stochastic Optimal Power Flow for Scheduling Flexible Resources in Microgrids Operation. Applied Energy, Elsevier, 2018,
[Sto-2] Robin Girard, Vincent Barbesant, Fiona Foucault, Georges Kariniotakis. Fast dynamic programming with application to storage planning. 2014 IEEE PES T&D Conference and Exposition, IEEE, Apr 2014, Chicago, IL, United States.
[Sto-3] Andrea Michiorri, Jesus Lugaro, Nils Siebert, Robin Girard, Georges Kariniotakis. Storage sizing for grid connected hybrid wind and storage power plants taking into account forecast errors autocorrelation. Renewable Energy, Elsevier, 2018, 117, pp.380-392.
[Sto-4] Etta Grover-Silva, Robin Girard, Georges Kariniotakis. Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm. Applied Energy, Elsevier, 2018, 219, pp.385-393.
[H2] PhD thesis of Anaelle Jodry started in octobre 2020.
[FLEX] Thèse de Thomas Heggarty, “Optimisation technico-économique du mix de flexibilité du système électrique”. Soutenance prévue en septembre 2021.
[FLEX-1] Thomas Heggarty, Jean-Yves Bourmaud, Robin Girard, Georges Kariniotakis. Multi-temporal assessment of power system flexibility requirement. Applied Energy, Elsevier, 2019, 238, pp.1327-1336.
[FLEX-2] Thomas Heggarty, Jean-Yves Bourmaud, Robin Girard, Georges Kariniotakis. Quantifying power system flexibility provision. Applied Energy, Elsevier, 2020, 279, pp.115852.
[Potentiel-1] Antoine Rogeau, Robin Girard, Georges Kariniotakis. A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale. Applied Energy, Elsevier, 2017, 197, pp.241 - 253.
[Potentiel-2] Arthur Bossavy, Robin Girard, Georges Kariniotakis, George Kariniotakis. Sensitivity analysis in the technical potential assessment of onshore wind and ground solar photovoltaic power resources at regional scale. Applied Energy, Elsevier, 2016, 182, pp.145-153.
ProfileEngineer and / or Master - Good level of general and scientific culture. Very good English level. Good analytical, synthesis, innovation and communication skills. Qualities of adaptability and creativity. Educational capacities. Motivation for research activity. Coherent professional project.

Simulation tools (Python or R), optimization, multi-criteria approach, data analysis, energy, economy.
FundingConvention CIFRE
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