15h30 - 15h55
Ambitious GHG reduction targets in Canada: Insights from an optimization energy model
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
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
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
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.