Andrea Michiorri

Research Director

Center · PERSEE

Discipline(s): Energy, Thermal Sciences
Topic(s): Grid/Network

Keywords

Awards & distinctions

2022 Best national programs in “Sustainable Development”: The PERSEE Center’s Specialized Master’s in Renewable Energy is ranked among the best (Top 3 in “Energy – Renewable Energy” programs) by the specialized magazine Eduniversal.
2019 Elected to the Board of Directors of the European Association of Renewable Energy Research Centers (EUREC)
2016 First Prize in the Franco-German Innovation Award for Renewable Energy: the REstable project—coordinated by the PERSEE Center

Team

ERSEI - Energies Renouvelables et Systèmes Energétiques Intelligents

Biography

Andrea Michiorri is a researcher specializing in smart grid systems and the optimized management of electricity transmission and distribution networks. His work focuses on the integration of renewable energy, the optimization of electrical infrastructure under climatic and operational constraints, and the improvement of real-time forecasting and decision-making models. His research notably addresses *Dynamic Line Rating* (DLR), a method for dynamically adjusting the capacity of power lines based on weather conditions, thereby reducing congestion and infrastructure costs. He also explores the impact of socioeconomic factors and external events on energy demand, incorporating advanced techniques such as natural language processing (NLP) to refine forecasts. His expertise extends to the modeling of storage systems, the participation of distributed energy resources (DERs) in energy and system services markets, and the assessment of the effects of climate change on grid components, such as transformers.

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

Teaching

Introduction to power system analysis

Course Director

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. Program: Monday 20/11 Morning – Power system and plants - Andrea Michiorri Monday 20/11 Afternoon – AC and phasors - Andrea Michiorri Tuesday 21/11 Morning – AC and DC power flows - Andrea Michiorri Tuesday 21/11 Afternoon – Optimal power flows - Andrea Michiorri Wednesday 22/11 Morning – Tutorial pandapower - Roman Bolgaryn Wednesday 22/11 Afternoon – Tutorial pandapower - Roman Bolgaryn Thursday 23/11 Morning – Power System Planning - Tanguy Janssen Thursday 23/11 Afternoon – Electricity Markets - Tanguy Janssen Friday 24/11 Morning – Stability and control for low inertia systems - Fei Teng Friday 24/11 Afternoon – Project Q&A – Andrea MICHIORRI: “Project Q&A” Speakers: Andrea MICHIORRI: He obtained a MEng in Mechanical Engineering at the University of Rome ""La Sapienza"" and a PhD from the School of Engineering of Durham University. He is a Research Engineer at the Centre for Energy and Process of Mines Paris – PSL within the group ERSEI. Here he is the responsible for researches on the area of smart grids and the integration of distributed and renewable resources. His current research interests are in the application of proactive predictive techniques to the management of the power system and on power system components dynamic thermal rating. Tanguy JANSSEN: Formation d'ingénieur en électrotechnique, doctorat en économie sur l'intégration des marchés européens de l'électricité, travail à RTE 2013 à 2016 sur l'organisation des marchés d'électricité, puis de 2017 à 2021 sur le processus de décision d'investissement dans le réseau public de transport. Fei Teng received the B.Eng. degree in electrical engineering from Beihang University, Beijing, China, in 2009, and the M.Sc. and Ph.D. degrees in electrical engineering from Imperial College London, London, U.K., in 2010 and 2015, respectively.,He is currently a Senior Lecturer with the Department of Electrical and Electronic Engineering, Imperial College London. His research focuses on the power system operation with high penetration of inverter-based resources and the cyber-resilient and privacy-preserving cyber–physical power grid. Roman Bolgaryn received the master’s degree in urbane renewable energy systems from UAS Technikum Wien, Vienna, Austria, in 2016. He worked as an Intern and a Research Assistant at the Austrian Institute of Technology, Vienna, from 2014 to 2016. He has been with the Division of Grid Planning and Operation, Fraunhofer Institute for Energy Economics and Energy System Technology, Kassel, Germany, since 2016. His main interests are renewable energy and automated grid planning.

PhD supervision

2022 Textual data for advanced modeling of electricity demand and price dynamics BAI Yun
2022 The impact of climate change on the transport capacity of electrical networks MONTAÑA SALAS Sergio
2020 Towards the paradigm of prescriptive analytics for energy forecasting and power system optimization STRATIGAKOS Akylas
2016 Optimization of flexibilities of "prosumers" in the context of electricity markets CORREA FLOREZ Carlos Adrian
2016 Forecasting and optimization of system service supply by renewable energies CAMAL Simon
2015 Prévision du Dynamic Line Rating et impact sur la gestion du système électrique Romain DUPIN