Andrea Michiorri

Directeur de recherche

Centre · PERSEE

Discipline(s): Énergie, thermique
Thème(s): Réseau

Mots-clés

Prix & distinctions

2022 Meilleure formations nationales « Développement Durable » : le Mastère Spécialisé ENR du Centre PERSEE classé parmi les meilleures (Top 3 des formations « Energies – Energies Renouvelables ») par la revue spécialisé Eduniversal.
2019 Elu membre du Conseil d’administration de l’Association européenne des Centres de recherche sur les énergies renouvelables (EUREC
2016 1er prix de l'innovation franco-allemand pour les énergies renouvelables : le projet REstable - coordonné par le Centre PERSEE

Équipe

ERSEI - Energies Renouvelables et Systèmes Energétiques Intelligents

Biographie

Andrea Michiorri est un chercheur spécialisé dans les systèmes électriques intelligents et la gestion optimisée des réseaux de transport et de distribution d’électricité. Ses travaux se concentrent sur l’intégration des énergies renouvelables, l’optimisation des infrastructures électriques sous contraintes climatiques et opérationnelles, ainsi que sur l’amélioration des modèles de prévision et de décision en temps réel. Ses recherches abordent notamment le *Dynamic Line Rating* (DLR), une méthode permettant d’ajuster dynamiquement la capacité des lignes électriques en fonction des conditions météorologiques, réduisant ainsi les congestions et les coûts d’infrastructure. Il explore également l’impact des facteurs socio-économiques et des événements externes sur la demande énergétique, en intégrant des techniques avancées comme le traitement automatique du langage naturel (NLP) pour affiner les prévisions. Son expertise s’étend à la modélisation des systèmes de stockage, à la participation des ressources énergétiques distribuées (DER) aux marchés de l’énergie et des services système, ainsi qu’à l’évaluation des effets du changement climatique sur les composants du réseau, comme les transformateurs.

Publication(s)

2025
Dynamic Line Rating Models and Their Potential for a Cost-Effective Transition to Carbon-Neutral Power Systems DOI : 10.1002/wene.70002
2025
News and Load: Social and Economic Drivers of Regional Multi-Horizon Electricity Demand Forecasting DOI : 10.1109/TPWRS.2025.3585965
2024
Stochastic economic model predictive control for renewable energy and ancillary services trading with storage DOI : 10.1016/j.segan.2024.101373
2024
Assessing Regional Capacity Expansion: The Role of Quasi-Dynamic Thermal Ratings in a Changing Climate DOI : 10.1109/ISGTEUROPE62998.2024.10863802
2024
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-Ahead Electricity System Demand DOI : 10.1109/TPWRS.2024.3361074
2024
Towards Resilient Energy Forecasting: A Robust Optimization Approach DOI : 10.1109/TSG.2023.3272379
2023
QUASI-DYNAMIC LINE RATING SPATIAL AND TEMPORAL ANALYSIS FOR NETWORK PLANNING DOI : 10.1049/icp.2023.0291
2023
Reliable Provision of Ancillary Services from Aggregated Variable Renewable Energy Sources Through Forecasting of Extreme Quantiles DOI : 10.1109/TPWRS.2022.3198839
2023
ECONOMIC MODEL PREDICTIVE CONTROL FOR THE ENERGY MANAGEMENT PROBLEM OF A VIRTUAL POWER PLANT INCLUDING RESOURCES AT DIFFERENT VOLTAGE LEVELS DOI : 10.1049/icp.2023.1160
2023
Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks DOI : 10.1109/ISGTEUROPE56780.2023.10408499
2023
Weather-Based Quasi Dynamic Thermal Ratings for Power Transformers DOI : 10.1109/ISGTEUROPE56780.2023.10408026
2023
Integrating thermal properties and degradation modelling of batteries into the scheduling of hybrid power plants with photovoltaics DOI : 10.1016/j.est.2023.108782
2022
Topic Taxonomy and Metadata to Support Renewable Energy Digitalisation DOI : 10.3390/en15249531
2022
Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy DOI : 10.1109/TPWRS.2022.3152667
2021
IMPACT OF TRANSFORMER AND CABLE AGING ON DISTRIBUTION LOCATIONAL MARGINAL COSTS IN ACTIVE DISTRIBUTION NETWORKS DOI : 10.1049/icp.2021.1735
2021
A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation DOI : 10.1109/PowerTech46648.2021.9494832
2020
Extreme quantiles dynamic line rating forecasts and application on network operation DOI : 10.3390/en13123090
2020
Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets DOI : 10.1109/TSG.2019.2941687
2020
Optimal hybrid PV-battery residential system management and sizing taking into account battery thermal behaviour and ageing DOI : 10.1049/oap-cired.2021.0302
2019
Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications DOI : 10.1016/j.apenergy.2019.03.112
2019
Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators' Risk Aversion DOI : 10.1109/TPWRS.2018.2889973
2019
Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment DOI : 10.1016/j.ijepes.2019.03.043
2019
Incorporating flexibility options into distribution grid reinforcement planning: A techno-economic framework approach DOI : 10.1016/j.apenergy.2019.113662
2019
Distributed energy storage aggregation, quantitative evaluation of replicability and scalability DOI : 10.1109/PTC.2019.8810868
2019
Day-ahead and intraday forecasts of the dynamic line rating for buried cables DOI : 10.1109/ACCESS.2018.2888505
2019
Comparative analysis of adjustable robust optimization alternatives for the participation of aggregated residential prosumers in electricity markets DOI : 10.3390/en12061019
2018
Robust optimization for day-ahead market participation of smart-home aggregators DOI : 10.1016/j.apenergy.2018.07.120
2018
Optimal offer of automatic frequency restoration reserve from a combined PV/Wind Virtual Power Plant DOI : 10.1109/TPWRS.2018.2847239
2018
Stochastic operation of home energy management systems including battery cycling DOI : 10.1016/j.apenergy.2018.04.130
2018
Day-Ahead management of smart homes considering uncertainty and grid flexibilities DOI : 10.1049/cp.2018.1894
2018
Storage sizing for grid connected hybrid wind and storage power plants taking into account forecast errors autocorrelation DOI : 10.1016/j.renene.2017.10.070
2018
Understanding the Benefits of Dynamic Line Rating Under Multiple Sources of Uncertainty DOI : 10.1109/TPWRS.2017.2786470
2017
Energy services bridging the gap between residential flexibility and energy markets DOI : 10.1049/oap-cired.2017.0365
2017
Residential electrical and thermal storage optimisation in a market environment DOI : 10.1049/oap-cired.2017.1086
2017
Fractal Grid - towards the future smart grid DOI : 10.1049/oap-cired.2017.1236
2017
Probabilistic day-ahead forecasting of household electricity demand DOI : 10.1049/oap-cired.2017.0625
2017
Scalable computational framework using intelligent optimization: Microgrids dispatch and electricity market joint simulation DOI : 10.1016/j.ifacol.2017.08.525
2017
Optimal scheduling of storage devices in smart buildings including battery cycling DOI : 10.1109/PTC.2017.7981199
2017
Dynamic line rating forecasting DOI : 10.1016/B978-0-08-100504-0.00013-5
2017
Short-term forecast of automatic frequency restoration reserve from a renewable energy based virtual power plant DOI : 10.1109/ISGTEurope.2017.8260311
2016
Customers' flexibility valued in market and regulated environment
2016
Dynamic line rating day-ahead forecasts - Cost benefit based selection of the optimal quantile DOI : 10.1049/cp.2016.0722
2015
Forecasting for dynamic line rating DOI : 10.1016/j.rser.2015.07.134
2014
The Nice Grid project : Using distributed energy resources to reduce power demand through advanced network management
2013
The impact of available data history on the performance of photovoltaic generation forecasting models DOI : 10.1049/cp.2013.0971
2013
Impact of PV forecasts uncertainty in batteries management in microgrids DOI : 10.1109/PTC.2013.6652254
2013
The value of schedule update frequency on distributed energy storage performance in renewable energy integration DOI : 10.1109/ISGTEurope.2013.6695299
2012
A local energy management system for solar integration and improved security of supply: The Nice Grid project DOI : 10.1109/ISGTEurope.2012.6465667
2011
Advanced load modelling techniques for state estimation on distribution networks with multiple distributed generators
2010
Overhead line real-time rating estimation algorithm: Description and validation DOI : 10.1243/09576509JPE859
2010
Dynamic thermal rating and active control for improved distribution network utilisation DOI : 10.1049/cp.2010.0213
2010
Coordinated output control of multiple distributed generation schemes DOI : 10.1049/iet-rpg.2009.0142
2009
Investigation into the influence of environmental conditions on power system ratings DOI : 10.1243/09576509JPE718
2009
Forecasting real-time ratings for electricity distribution networks using weather forecast data DOI : 10.1049/cp.2009.1028
2008
Dynamic thermal rating for increasing network capacity and delaying network reinforcements DOI : 10.1049/ic:20080466

Enseignements

Introduction to power system

Responsable

Context: Electrical power systems are among the most important and complex infrastructures operated by mankind. Without a stable and reliable supply of electricity, basic services at the fundament of our societies could not take place. Despite operational practices and analysis methods for power grids are well established, the interest on power grids come to prominence again due to the increasing connection of stochastic renewable generation, that poses new challenges to grid operators. In this course, we will illustrate the main functionalities of power systems (generation, transmission, and distribution grids), their components (generators, transformers, lines) and provide students with the mathematical tools to analyse power grids (load flows and notion of optimal power flow). We will finally explore the operating principles of interconnected AC power grids (frequency and voltage control). The course will be followed through by laboratory sessions, where students will explore and apply what learnt in a suitable simulation environment.

Direction(s) de thèse(s)

2022 Données textuelles pour la modélisation avancée des dynamiques de la demande et des prix d'électricité BAI Yun
2022 L'impact du changement climatique sur la capacité de transport des réseaux électriques MONTAÑA SALAS Sergio
2020 Vers le paradigme de l'analyse prescriptive pour la prévision énergétique et l'optimisation du système électrique STRATIGAKOS Akylas
2016 Optimisation des flexibilités des « consommacteurs » dans le contexte des marchés d’électricité CORREA FLOREZ Carlos Adrian
2016 Prévision et optimisation de l'offre de services système par des énergies renouvelables CAMAL Simon
2015 Prévision du Dynamic Line Rating et impact sur la gestion du système électrique Romain DUPIN