Optimization Days 2019
HEC Montréal, May 13-15, 2019
JOPT2019
HEC Montréal, 13 — 15 May 2019

MD6 OR/MS Scientific Writing Activity - Electricity
May 13, 2019 03:30 PM – 05:10 PM
Location: Marie-Husny
Chaired by Marilène Cherkesly
4 Presentations
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03:30 PM - 03:55 PM
A flexibility product for water-heater aggregators on the electricity markets
Intermittent renewable energy, such as solar and wind, bring uncertainty into the grid. To increase their contribution into the energy mix, load management solutions are necessary. In this work, a mean field control of water-heaters is used to provide load flexibility to the grid while keeping the disturbance of the consumption, after the control, as low as possible.
Mean Field Game - Smart Grid - Load Management
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03:55 PM - 04:20 PM
Energy management in hospitals using demand dispatch
In this paper, we present a bi-objective formulation for using renewable energy sources (RESs) in hospitals to minimize costs and dissatisfaction by scheduling activities of hospitals. Since the main goal of the hospital is providing health care services, they will decrease energy costs while maintaining the comfort of patients and surgeons using the proposed model.
Keywords: Demand Dispatch, Energy Management, Bi-objective optimization -
04:20 PM - 04:45 PM
Evaluation of the impact of the power production function approximation on the maintenance scheduling
Maintenance planning for hydropower plants is a crucial problem. We evaluate the impact of the HPF formulation on the maintenance scheduling. We compare three approximations: first a convex hull approximation, then a piecewise linear approximation and third, a nonlinear approach using a polynomial function fitted on real data.
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04:45 PM - 05:10 PM
Optimal allocation of demand response resources considering the electric transmission network
The growing concern about the environmental impacts caused by energy generation has incentived investment in renewable energies and in demand response (DR), which creates several challenges when operating the grid. Thus, we develop a short-term horizon
model for allocating optimally the DR and generators resources when supplying un-
expected demand considering the network topology.demand response, semidefinite programming, OPF