4 présentations

• 
  15h30 - 15h55

  Ambitious GHG reduction targets in Canada: Insights from an optimization energy model

  • Olivier Bahn, prés., HEC Montréal
  • Kathleen Vaillancourt, ESMIA Consultants
  • Erik Frenette, HEC Montréal
  • Oskar Sigvaldason, SCMS Global

  The objective of this presentation is to explore deep decarbonization pathways for the Canadian energy sector Our approach consists in deriving minimum cost solutions for achieving progressive emission reductions up to 2050 using the North American TIMES Energy Model, a detailed multi-regional and integrated optimization energy model.

• 
  15h55 - 16h20

  Robust self-scheduling for a price-maker energy storage facility in the New-York state electricity market

  • Adrien Barbry, prés., GERAD
  • Miguel F. Anjos, GERAD, Polytechnique Montréal
  • Erick Delage, GERAD, HEC Montréal

  Recent progress in energy storage have contributed to create large-scale storage facilities and to decrease their costs. This may bring economic opportunities for storage operators, especially via energy arbitrage. However, storage operation in the market could have significant impact on electricity prices. This work aims at evaluating jointly the potential operating profit for a price-maker storage facility and its impact on the electricity prices in
  New-York state. Based on historical data, lower and upper bounds on the supply curve of the market are constructed. These bounds are used as an input for the robust self-scheduling problem of a price-maker storage facility.

• 
  16h20 - 16h45

  ESCOF: an Energy Storage based Co-Optimization Framework in Smart Grid

  • Ahmed Chaouachi, prés., Université de Montréal
  • Martin De Montigny, IREQ, Hydro Québec
  • Miguel F. Anjos, GERAD, Polytechnique Montréal
  • Patrice Marcotte, Université de Montréal

  In this presentation, we will motivate the importance of studying the
  interactions between all parts of electrical power transmission (T) and
  distribution (D) networks including storage, distributed generation, electric
  vehicles, and loads. We will present a co-optimization framework based on
  energy storage batteries connected at the distribution level enabling a
  transversal study. As a proof of concept, the Optimal Power Flow is adopted as
  an analysis tool in T&D co-optimization with the aim of maximizing the sparsity
  of the matrix modelling the control decisions and at the same time minimizing
  the deviation from the previous day's operation schedule. A distributed optimization
  algorithm is designed to synchronize the decision flows. We will conclude with
  open research questions.

• 
  16h45 - 17h10

  Aggregation models for the grid integration of distributed energy storage

  • Mathieu Tanneau, prés.,
  • Miguel F. Anjos, GERAD, Polytechnique Montréal
  • Andrea Lodi, Polytechnique Montreal

  Although challenging, successfully integrating distributed energy storage could prove highly valuable to the electric grid. We formulate the aggregation problem for distributed storage, and propose a novel resolution method, aiming at practical, real-time implementation. The proposed approach leverages the problem’s structure through decomposition and constraint aggregation, naturally addressing resources’ heterogeneity.