Grant: Collaborative Research and Development Grants
University of Waterloo
$120,000.00
Impact of electric vehicles on the grid
FY 2013-14
Summary
Several powerful forces are gathering to make fundamental and irrevocable changes to the century-old grid. The next-generation grid, often called the `smart grid,' will feature distributed energy production, vastly more storage, tens of millions of stochastic renewable-energy sources, and the use of communication technologies both to allow precise matching of supply to demand and to incentivize appropriate consumer behavior. These changes will have the effect of reducing energy waste and reducing the carbon footprint of the grid, making it smarter and greener. Our proposal focuses on one aspect of the smart grid: the integration of electric vehicles (EVs). This is an important technical challenge because the introduction of EVs will greatly affect the distribution network but, if properly controlled, can serve to mitigate other elements of the smart grid. The collaborative research project proposed here has three thrusts: modelling, control, and prototyping. First, we will use advanced modeling techniques, such as exact simulation of distribution networks using both proprietary and open-source simulators, to study the effect of EVs on distribution networks. Our modeling approach, unlike past efforts, will take into account the stochastic nature of EV loads. We will also use advanced telemetry technique to construct mobility models for EVs. Finally, we will model the effect of advanced Lithium-air batteries on the EV ecosystem. Second, we will study techniques to control the charging current delivered to each EV in a fleet. In doing so, we hope to simultaneously meet the needs of the grid and the EV fleet owner. Our second project in the area of control is to use game theory to study control techniques for EVs in residences. We will also design control mechanisms for EV billing and to prevent unauthorized EV charging. Third, we will design a smart charger that could control the charge current and also communicate with the grid to decide whether to allow charging, at what rate to charge, and whom to bill for the electricity. These issues are clearly inter-related and hence can only be addressed together. The commercial and economic reasons for this research are compelling. This is reflected by a strong commitment from our industrial partners, Hydro One and IBM.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
422264-2011
Name nom
Rosenberg, Catherine
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2011
Award amount
120000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
304
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Electrical energy
Area of application fr
Énergie électrique
Research subject code
2516
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Energy conversion and distribution
Research subject fr
Conversion et distribution de l'énergie
Partie
2
Nb partie
4
Application title
Impact of electric vehicles on the grid
Keyword
NSERC
Application summary
Several powerful forces are gathering to make fundamental and irrevocable changes to the century-old grid. The next-generation grid, often called the `smart grid,' will feature distributed energy production, vastly more storage, tens of millions of stochastic renewable-energy sources, and the use of communication technologies both to allow precise matching of supply to demand and to incentivize appropriate consumer behavior. These changes will have the effect of reducing energy waste and reducing the carbon footprint of the grid, making it smarter and greener. Our proposal focuses on one aspect of the smart grid: the integration of electric vehicles (EVs). This is an important technical challenge because the introduction of EVs will greatly affect the distribution network but, if properly controlled, can serve to mitigate other elements of the smart grid. The collaborative research project proposed here has three thrusts: modelling, control, and prototyping. First, we will use advanced modeling techniques, such as exact simulation of distribution networks using both proprietary and open-source simulators, to study the effect of EVs on distribution networks. Our modeling approach, unlike past efforts, will take into account the stochastic nature of EV loads. We will also use advanced telemetry technique to construct mobility models for EVs. Finally, we will model the effect of advanced Lithium-air batteries on the EV ecosystem. Second, we will study techniques to control the charging current delivered to each EV in a fleet. In doing so, we hope to simultaneously meet the needs of the grid and the EV fleet owner. Our second project in the area of control is to use game theory to study control techniques for EVs in residences. We will also design control mechanisms for EV billing and to prevent unauthorized EV charging. Third, we will design a smart charger that could control the charge current and also communicate with the grid to decide whether to allow charging, at what rate to charge, and whom to bill for the electricity. These issues are clearly inter-related and hence can only be addressed together. The commercial and economic reasons for this research are compelling. This is reflected by a strong commitment from our industrial partners, Hydro One and IBM.