Energy Days 2020

Aula Magna, Place Raymond Lemaire, UCLouvain, Louvain la Neuve, Belgium

We are celebrating the PhD graduation of Yuting Mou, Gilles Bertrand and Ilyès Mezghani by putting together a 2-day energy event at UCLouvain. The event is targeted toward an audience of academics, policy makers, and industrial stakeholders.

Dates: The event will be held on December 7-8, 2020.

Location. The event will be held fully online due to COVID-19.

Online participation information. The event will be held as a Teams Meeting. Participants will be able to join through the Teams app or on a browser directly (Chrome or Microsoft Edge only). To join, you will only need an event link that we will communicate to registered participants. You will be able to intervene with voice and camera during the Q&A, if you so desire. Please note that Teams Meetings are limited to 250 participants. Only registered participants will receive a link to the event. The event will be recorded. Therefore, by registering you consent to having your interventions being recorded during the Q&A.

Registration. The event will target 250 participants. Registrations are free but mandatory. Registrations will be served on a first-come-first-served basis. Participants are asked to register in the following link: https://docs.google.com/forms/d/e/1FAIpQLScOScMZaBKSfxB_Agg_Yk7lRYZuQxA7Ze4CMLbs8lDQfzBttQ/viewform.

Cancellations. In order to better plan the event, we kindly ask registered participants to inform us at the latest two days in advance of the event about possible cancellation of their registration.

Abstracts. The list of abstracts for the presentations is available in the following link.

Programme Day 1 (all times are in CET)

11:15 – 11:30 Welcome by Anthony Papavasiliou (UCLouvain)
11:30 – 12:30Keynote presentation by Andreas Tirez (CREG)
Fundamentals of market functioning: the role of price signals and how to come to good price signals in power markets
12:30 – 14:00Break
14:00 – 17:00Session 1: Machine and Reinforcement Learning Problems in Electricity Markets
Moderator: Gilles Bertrand (UCLouvain)
14:00 – 14:40Johan Maricq (ELIA) and Wolf Berwouts (N-SIDE)
Using reinforcement learning to perform topology optimisation
14:40 – 15:20Anthony Papavasiliou (UCLouvain)
A Modeling Framework for Analyzing European Balancing Markets
15:20 – 15:40Break
15:40 – 16:20Olivier Martin (ENGIE)
Algorithmic Trading on German Intraday Power Markets
16:20 – 17:00Gilles Bertrand (UCLouvain)
Adaptive trading in the Continuous Intraday Market using Reinforcement Learning

Programme Day 2 (all times are in CET)

09:30 – 12:30Session 2: Mobilizing distributed demand-side flexibility through advanced analytics
Moderator: Yuting Mou (UCLouvain)
09:30 – 10:10Dimitrios Papadaskalopoulos (Imperial College London and NTUA)
Distributed optimisation, game-theoretic and reinforcement learning approaches for investigating the impacts of demand flexibility in emerging electricity markets
10:10 – 10:50Leonardo Meeus (Vlerick School of Business and Florence School of Regulation)
The Future of Electricity Markets with Distribution Network Constraints
10:50 – 11:10Break
11:10 – 11:50Dimitri Tomanos (ENGIE Impact)
Integration of Flexibility Mechanisms into Decentralized Systems Energy Production Sizing Optimization Problem
11:50 – 12:30Yuting Mou (VITO)
Comparison of Priority Service and Multilevel Demand Subscription for Mobilizing Residential Demand Respone
12:30 – 14:00Break
14:00 – 17:00Session 3: Algorithmic and Market Design Topics in T&D Coordination and Local Energy Markets
Moderator: Ilyès Mezghani (UCLouvain)
14:00 – 14:40Ibrahim Abada (ENGIE Impact)
The Snowball Effect of Energy Communities
14:40 – 15:20Ilyès Mezghani (UCLouvain)
Models and Algorithms for Clearing Integrated T&D Markets with ACOPF and Non-Convex Offers
15:20 – 15:40Break
15:40 – 16:20Burak Kocuk (Sabancı University)
An Analysis of the Multi-Period Optimal Power Flow Problem with Electric Vehicles under Emission Considerations
16:20 – 17:00Ignacio Aravena (Lawrence Livermore National Laboratory)
Solving realistic security-constrained optimal power flow problems: lessons learned from ARPA-E Grid Optimization Competition Challenge 1