RIGO-MARIANI Rémy

CNRS Research Scientist in Power & Energy Systems

Team SYREL  

I am a CNRS Research Scientist in Power & Energy Systems. My research interest lies on modelling and optimization methods for the management and design of the systems over three main investigation areas:
 

• Operation and planning of distributed energy resources in transmission and distribution networks.
• Integrated management and design of multi-energy systems.
• Value of flexibility and emerging energy markets.

Modelling - distribution & transmission networks, energy markets, generation cost and emissions, demand side management, technico-economical analysis, solar panel, gas turbine, Li-Ion battery.

Solving - linear programming, mixed- integer linear programming, quadratic programming, dynamic programming, genetic algorithm, particle swarm optimization, hybrid algorithms, distributed optimization, stochastic optimization.

 

2-pages resume avaliable here.
 

• 2020-now : CNRS Research Scientist, G2Elab, Grenoble, France.
• 2018-2019 : Research Fellow, Energy Research Institute @ NTU, Singapore.
• 2017-2018 : Research Fellow, Cambridge Advanced Research Centre fof Research, Singapore.
• 2015-2016 : Research Associate, University of Washington, Seattle, USA.
• 2011-2014 : PhD. In Electrical Engineering, INP,  Toulouse, France.
• 2009-2011 : Research Engineer, LAPLACE laboratory, Toulouse, France.
• 2006-2009 : MsC. In Electrical Engineering and Automation, ENSEEIHT INP, Toulouse, France.

 

Project : AI4DG – Artificial Intelligence for Disribution Grids.
Partners : University of Bielefield, ATOS Worldgrid, WWN Energie-Gruppe.
Development of a solution on the edge for the control of distributed ressources behind the meter. Investigation of coordination strategies between the assets to reach optimal operations at the distribution level. Introduction of data driven management strategies and implementation on a demonstrator site in Germany.

Project : DESCARTES – Decision making in Critical Urban Systems.
Partners : CNRS, ENSAM, Univ. Paris Saclay, NTU, NUS, EDF, THALES,..
The program aims to develop disruptive hybrid AI to serve the smart city and to enable optimized decisions making in complex situations, encourntered for critical urban systems. It is a cross disciplinary program, involving core science (mathematics, physics) as well as human science, with artificial intelligence at its core.
 

Project : CSC - Collective Self-Consumtion.
Partners : BEOGA.
Implementation of efficient energy management strategies for the operaiton of an energy community under the Frecnh regulataroy framework for collective self-consumption. Investigation of various policies to optimally compute the share of community generation among the different members ('keys of repartition'), targeting various performances and fairness metrics.
 

Project : OSS Optimization Storage System Platform.
Partners : ATOS Worldgrid.
Development of a solution for the management of a fleet of storage systems. Arbitrage between the opportunities to participate in different energy markets from the long term capcacity market to various balancing mechanisms.

Project : Int2MEC – INTelligent Multi-Energy Communities for enhanced distributed ressrouces INTegration.
Partners : CNRS@CREATE, TUM@CREATE, Singapore.
Development of a management strategies for clsuters of buidlings regarded as multi-enegy communities that can provide ancilalry services to the power systems.

Teaching Contractor at ENSE3 – INP Grenoble

• Power system and energy markets operations
• Power system analysis
• Renewable energy integration

Training Contractor to professionals

• Energy management strategies in microgrids
• Integrated management and design of microgrids

 

Full list of publications :

HAL - https://cv.archives-ouvertes.fr/remyrigo-mariani
ORCID -  https://orcid.org/0000-0002-3098-9572

Main Publications :

[1]    A. D. Mustika, R. Rigo-Mariani, V. Debusschere, A. Pachurka,“A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption”, Applied Energy, vol. 310, 2022: DOI: 10.1016/j.apenergy.2021.118484
[2]    R. Rigo-Mariani, V. Vai, "An Iterative Linear DistFLow for Dynamic Optimization in Distributed Generation Planning Studies", International Journal of Electrical Power & Energy Systems: DOI: 10.1016/j.ijepes.2021.107936
[3]    H. Radet, X. Roboam, B. Sareni, R. Rigo-Mariani, "Dynamic aware aging design of a simple distributed energy system: A comparative approach with single stage design strategies", Renewable and Sustainable Energy Reviews, vol. 147, 2021. DOI : 10.1016/j.rser.2021.111104
[4]    I. Daminov, ‪R. Rigo-Mariani, R. Caire, A. Prokhorov, M.C. Alvarez-Herault, “Demand Response coupled with Dynamic Thermal Rating for increased transformer reserve and lifetime”, Energies, MDPI, vol. 14, no. 5, pp. 1378, 2021. DOI : 10.3390/en14051378‬‬‬‬‬‬
[5]    A. Devanand, G. Karmakar, N. Krdzavac, R. Rigo-Mariani, Y.S. Foo Eddy, I. A Karimi, M. Kraft, “OntoPowSys: A Power System Ontology for Cross Domain”, Energy and AI, 2020. DOI : 10.1016/j.egyai.2020.100008
[6]    R. Rigo-Mariani, S.O. Chea Wae, S. Mazzoni, A. Romagnoli, “Comparison of optimization frameworks for the design of a multi-energy microgrid”, Applied Energy, Vol. 257, 2020. DOI : 10.1016/j.apenergy.2019.113982
[7]    R. Rigo-Mariani, C. Zhang, A. Romagnoli, M. Kraft, K.V. Ling, J. Maciejowski, “A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints”, IEEE Transactions on Sustainable Energy, Vol. 11, No. 1, 2019. DOI : 10.1109/tste.2019.2894793
[8]    R. Rigo-Mariani, K. V. Ling, J. Maciejowski, “A Clusterized Energy Management with Linearized Losses in the Presence of Multiple Types of Distributed Generation”, International Journal of Electrical Power & Energy Systems, Vol. 113, pp. 9-22, 2019. DOI : 10.1016/j.ijepes.2019.04.049
[9]    R. Rigo-Mariani, K. V. Ling, J. Maciejowski, “A generic method to model CO2 emission performances of combined cycle power plants for environmental unit commitment”, Energy and Technology, Vol 6, pp 72-83, 2018. DOI : 10.1002/ente.201700552
[10]    R.Rigo-Mariani, B. Sareni and X. Roboam, “Fast power flow scheduling and sensitivity analysis for sizing a microgrid with storage”, Mathematics and computers in simulation, Vol 131, pp 114-127, 2017. DOI : 10.1016/j.matcom.2015.11.010
[11]    R.Rigo-Mariani, B. Sareni and X. Roboam, “Integrated optimal design of a smart microgrid with storage”, IEEE Transactions on Smart Grids, Vol 8, No 4, pp 1762-1770, 2017. DOI : 10.1109/TSG.2015.2507131
[12]    R.Rigo-Mariani, V. Rocuzzo, B. Sareni, M.Repettto and X. Roboam, “Power flow optimization in a microgrid with two kinds of energy storage”, COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 35 (3). 860-870, 2016. DOI : 10.1108/COMPEL-11-2015-0409
[13]    R. Rigo-Mariani, B. Sareni, X. Roboam and C. Turpin, “Optimal power dispatching strategies in smart-microgrids with storage”, Renewable and sustainable energy reviews, Vol 40, pp 649−658 2014. DOI : 10.1016/j.rser.2014.07.138
[14]    R.Rigo-Mariani, F. Lacressonniere, G. Fontes and X. Roboam, “Design of a medium voltage power converter-storage devices embedded in a hybrid emergency network for more electrical aircraft”, Mathematics and computers in simulations, Vol 91, pp 72-90, 2013. DOI : 10.1016/j.matcom.2012.07.009