4 présentations

• 
  15h30 - 15h55

  A flexibility product for water-heater aggregators on the electricity markets

  • Marie Pied, prés., Polytechnique Montréal / GERAD
  • Miguel F. Anjos, GERAD, Polytechnique Montréal
  • Roland Malhamé, GERAD - Polytechnique Montréal

  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
• 
  15h55 - 16h20

  Energy management in hospitals using demand dispatch

  • Shabnam Mahmoudzadeh Vaziri, prés., Department of Mechanical, Industrial & Aerospace, Concordia University, Montral, Canada
  • Babak Rezaee, Faculty of Engineering, Industrial Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran

  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
• 
  16h20 - 16h45

  Evaluation of the impact of the power production function approximation on the maintenance scheduling

  • Éloïse Edom, prés., GERAD
  • Miguel F. Anjos, GERAD
  • Pascal Côté, Énergie électrique, Rio Tinto Aluminium
  • Sara Séguin, Université du Québec à Chicoutimi

  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.
• 
  16h45 - 17h10

  Optimal allocation of demand response resources considering the electric transmission network

  • Vinicius Motta, prés.,
  • Michel Gendreau, Polytechnique Montréal
  • Miguel F. Anjos, GERAD, Polytechnique Montréal
  • Michel Gendreau, Polytechnique Montréal
  • Miguel F. Anjos, GERAD, Polytechnique Montréal

  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