Project

Back to overview

Integration of Intermittent Widespread Energy Sources in Distribution Networks: Storage and Demand Response

English title Integration of Intermittent Widespread Energy Sources in Distribution Networks: Storage and Demand Response
Applicant Jones Colin
Number 154040
Funding scheme NRP 70 Energy Turnaround
Research institution Laboratoire d'automatique EPFL - STI - IGM - LA1
Institution of higher education EPF Lausanne - EPFL
Main discipline Information Technology
Start/End 01.12.2014 - 30.11.2018
Approved amount 691'627.00
Show all

All Disciplines (2)

Discipline
Information Technology
Electrical Engineering

Keywords (4)

Smart grids; Demand response; Hierarchical control; Optimization-based control

Lay Summary (French)

Lead
L'augmentation rapide de la production d'énergie renouvelable de nature fluctuante, ainsi que la décision de la Suisse de fermer ses centrales nucléaires dont la production est stable, conduira le réseau électrique à avoir recours au stockage d'énergie, sous forme physique ou virtuelle, ainsi qu’à moduler la consommation électrique pour compenser les variations dans la production. Ce projet permettra de développer des méthodes pour coordonner la consommation, la production et le stockage d’énergie de systèmes thermiques complexes (par exemple , les bâtiments), leur permettant d’offrir la capacité de stockage de l'énergie nécessaire pour gérer le futur réseau intelligent (smart grid). Un projet parallèle développera des techniques de gestion de ces ressources de stockage pour améliorer le contrôle des réseaux de distribution .
Lay summary

Objectifs du projet de recherche
Le projet proposé vise à développer de nouvelles méthodes de gestion pour les systèmes thermiques, permettant ainsi la commande en temps réel des flux d’énergie dans un réseau de distribution, ce qui permettra d’éviter l’utilisation des techniques à forte empreinte carbone qui consistent à maintenir des générateurs à combustibles fossiles comme réserve pour compenser l'incertitude inhérente à la production d'énergie renouvelable. Les principaux résultats attendus du projet incluent de nouvelles méthodes de contrôle pour utiliser la grande capacité de stockage électrique représentée par la capacité thermique des bâtiments commerciaux, des méthodes de conception des interfaces électriques pour ces futurs réseaux intelligents, ainsi qu'une démonstration des outils développés sur le nouveau bâtiment de génie mécanique à l'EPFL.

 

Contexte scientifique et social du projet de recherche
Notre projet permettra de développer des méthodes et des outils logiciels pour exploiter le stockage thermique des bâtiments commerciaux afin d’aider à stabiliser le futur réseau électrique, ce qui permettra d’augmenter l'utilisation des énergies renouvelables. Ensemble avec le partenaire du projet, nous allons faire la démonstration de ces techniques sur le réseau du campus de l'EPFL.

Direct link to Lay Summary Last update: 24.10.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
Multi-time scale coordination of complementary resources for the provision of ancillary services
Fabietti Luca, Qureshi Faran A., Gorecki Tomasz T., Salzmann Christophe, Jones Colin N. (2018), Multi-time scale coordination of complementary resources for the provision of ancillary services, in Applied Energy, 229, 1164-1180.
Enhancing the dispatchability of distribution networks through utility-scale batteries and flexible demand
Fabietti Luca, Gorecki Tomasz T., Namor Emil, Sossan Fabrizio, Paolone Mario, Jones Colin N. (2018), Enhancing the dispatchability of distribution networks through utility-scale batteries and flexible demand, in Energy and Buildings, 172, 125-138.
Contribution of Model Predictive Control in the Integration of Renewable Energy Sources within the Built Environment
Stadler Paul, Girardin Luc, Ashouri Araz, Maréchal François (2018), Contribution of Model Predictive Control in the Integration of Renewable Energy Sources within the Built Environment, in Frontiers in Energy Research, 6, NA.
Experimental Implementation of Frequency Regulation Services Using Commercial Buildings
Fabietti Luca, Gorecki Tomasz T., Qureshi Faran A., Bitlislioglu Altug, Lymperopoulos Ioannis, Jones Colin N. (2018), Experimental Implementation of Frequency Regulation Services Using Commercial Buildings, in IEEE Transactions on Smart Grid, 9(3), 1657-1666.
The swiss potential of model predictive control for building energy systems
Stadler Paul, Girardin Luc, Marechal Francois (2017), The swiss potential of model predictive control for building energy systems, in 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Torino, ItalyIEEE, Torino, Italy.
Dispatching active distribution networks through electrochemical storage systems and demand side management
Fabietti Luca, Gorecki Tomasz T., Namor Emil, Sossan Fabrizio, Paolone Mario, Jones Colin N. (2017), Dispatching active distribution networks through electrochemical storage systems and demand side management, in 2017 IEEE Conference on Control Technology and Applications (CCTA), Mauna Lani Resort, HI, USAIEEE, Mauna Lani Resort, HI, USA.
Experimental demonstration of buildings providing frequency regulation services in the Swiss market
Gorecki Tomasz T., Fabietti Luca, Qureshi Faran A., Jones Colin N. (2017), Experimental demonstration of buildings providing frequency regulation services in the Swiss market, in Energy and Buildings, 144, 229-240.
Stochastic MPC for controlling the average constraint violation of periodic linear systems with additive disturbances
Fabietti Luca, Jones Colin N. (2016), Stochastic MPC for controlling the average constraint violation of periodic linear systems with additive disturbances, in 2016 American Control Conference (ACC), Boston, MA, USAIEEE, Boston, MA, USA.
Distributed model predictive control of energy systems in microgrids
Stadler Paul, Ashouri Araz, Marechal Francois (2016), Distributed model predictive control of energy systems in microgrids, in 2016 Annual IEEE Systems Conference (SysCon), Orlando, FL, USAIEEE, Orlando, FL, USA.
A Multiport Isolated DC-DC Converter
Tran Yan-Kim, Dujic Drazen (2016), A Multiport Isolated DC-DC Converter, in Proceedings of the Applied Power Electronics Conference and Exposition - APEC.
Model-based optimization of distributed and renewable energy systems in buildings
Stadler Paul, Ashouri Araz, Maréchal François (2016), Model-based optimization of distributed and renewable energy systems in buildings, in Energy and Buildings , 120, 103-113.
Day-ahead promised load as alternative to real-time pricing
Ashouri Araz, Stadler Paul, Marechal Francois (2015), Day-ahead promised load as alternative to real-time pricing, in 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, USA.
Multiport Resonant DC-DC Converter
Tran Yan-Kim, Dujic Drazen, Barrade Philippe (2015), Multiport Resonant DC-DC Converter, in The 41st Annual Conference of the IEEE Industrial Electronics .
Stochastic {MPC} for Controlling the Average Constraint Violation of Periodic Linear Systems with Additive Disturbances
Fabietti Luca, Jones Colin, Stochastic {MPC} for Controlling the Average Constraint Violation of Periodic Linear Systems with Additive Disturbances, in Proceedings of the American Control Conference, American Automatic Control Council, Green Valley, AZ, United States.

Collaboration

Group / person Country
Types of collaboration
Nano-Tera projects S3 grids Switzerland (Europe)
- Research Infrastructure

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
2018 PSE Talk given at a conference The Nexus of Smart Grids and
Process Systems Engineering 01.07.2018 San Diego (CA), United States of America Marechal François;
2017 SCCER-FURIES Annual Conference Poster The national potential for model predictive control in the built environment 02.11.2017 Lausanne, Switzerland STADLER Paul;
IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Talk given at a conference The Swiss potential of model predictive control for building energy systems 26.09.2017 Turino, Italy STADLER Paul;
1st IEEE Conference on Control Technology and Applications Talk given at a conference Dispatching active distribution networks through electrochemical storage systems and demand side management 27.08.2017 Big Island, Hawaii, United States of America FABIETTI Luca;
2016 SCCER-FURIES Annual Conference Poster The national potential for model predictive control of building energy systems 02.12.2016 Lausanne, Switzerland STADLER Paul;
American Control Conference (ACC) Talk given at a conference Stochastic MPC for controlling the average constraint violation of periodic linear systems with additive disturbances 06.07.2016 Boston, MA, United States of America FABIETTI Luca;
Annual IEEE Systems Conference (SysCon) Talk given at a conference Distributed model predictive control of energy systems in microgrids 18.04.2016 Orlando (FL), United States of America STADLER Paul;
2016 IEEE International Systems Conference Talk given at a conference Distributed Model Predictive Control of Energy Systems in Microgrids 18.04.2016 Orlando, Florida, United States of America STADLER Paul;
Advanced Control of Chemical Processes - 9th ADCHEM 2015 Talk given at a conference Providing ancillary service with commercial buildings: the Swiss perspective 07.06.2015 Whistler, BC, Canada, Canada Jones Colin;


Communication with the public

Communication Title Media Place Year
Talks/events/exhibitions TEDx Martigny International Western Switzerland 2018

Awards

Title Year
Paul Stadler was awarded the "Best student paper" for his work entitled "Distributed Model Predictive Control of Energy Systems in Microgrids" at the 10th annual IEEE International Systems Conference in Orlando Florida 2016

Patents

Title Date Number Inventor Owner
System and Method for Operating a Combination of Heterogeneous Energy Resources for fast grid Services 14.02.2018 6053730

Associated projects

Number Title Start Funding scheme
175627 Risk Aware Data Driven Demand Response (RISK) 01.08.2018 Project funding (Div. I-III)
165566 Solid State Resonant Conversion 01.06.2016 Project funding (Div. I-III)

Abstract

The rapid increase of uncertain renewable generation, coupled with the Swiss goal of reducing reliable and controllable nuclear power plants will result in an electrical grid that is strongly reliant on the active control of both physical storage systems, as well as virtual storage methods, commonly referred to as demand response, in which consumption patterns can be actively modulated to compensate for variation in production. This project will develop techniques for coordinating the energy consumption, generation and storage of complex thermal devices, enabling them to provide the high-frequency power variation and energy storage required to autonomously manage the future smart grid.The proposed project will develop novel demand-response methodologies for thermal systems at extremely high speeds (~10Hz), which will enable the real time control of power flows inside the distribution network, which in turn will stop the current carbon-intensive practice of maintaining fossil fuel based spinning reserves to compensate for the uncertainty inherent in renewable generation. These expensive and purpose-defeating standby elements can only be removed if sufficient storage capacity exists with very high ramp-rates.The key outcomes of the project are expected to be: - Control scheme to optimize slow (thermal) and fast (ancillary services) dynamics simultaneously - Design process for power electronic interfaces between various thermal and mechanical devices that are optimized for use in high-frequency demand response programs - System design methodologies incorporating benefits of demand response - Proof-of-concept implementation on the low- and medium-voltage grid of the EPFL campus
-