Grant: Collaborative Research and Development Grants
University of Waterloo
$72,350.00
Advanced control and operation algorithms for smart distribution systems
FY 2013-14
Summary
The energy sector is moving into the era of smart grid. The natural evolution of this vision is the transformation of conventional distribution systems into Smart Distribution Systems (SDSs), which host distributed and renewable generation units, energy storage device, load management controllers, grid-automation devices and algorithms with seamless integration characteristics. SDS research is still in its infancy. Significant research efforts are need to realize this vision. The proposed research work aims to the development of advanced modeling, operation and control algorithms that will facilitate timely and safe integration of SDSs devices into existing networks. The project is mainly dealing with developing new control and operational algorithms for SDSs. This research will help the utilities to eliminate the current barriers towards the deployment of sustainable and other clean sources, intelligent automation devices and control algorithms into the utility grid. The proliferation of these new elements will help improve the overall distribution system performance by increasing the system reliability, power quality and efficiency while minimizing the adverse environmental impacts of centralized generation plants. With close cooperation with the industrial partner of this project (Hydro One Networks), the proposed work is expected to create a knowledge-base and tools that are immensely useful to the energy system industry. It will also lay the theoretical foundations in the emerging area of SDSs research.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
413407-2011
Name nom
ElSaadany, Ehab
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
72350
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
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Partie
3
Nb partie
3
Application title
Advanced control and operation algorithms for smart distribution systems
Keyword
NSERC
Application summary
The energy sector is moving into the era of smart grid. The natural evolution of this vision is the transformation of conventional distribution systems into Smart Distribution Systems (SDSs), which host distributed and renewable generation units, energy storage device, load management controllers, grid-automation devices and algorithms with seamless integration characteristics. SDS research is still in its infancy. Significant research efforts are need to realize this vision. The proposed research work aims to the development of advanced modeling, operation and control algorithms that will facilitate timely and safe integration of SDSs devices into existing networks. The project is mainly dealing with developing new control and operational algorithms for SDSs. This research will help the utilities to eliminate the current barriers towards the deployment of sustainable and other clean sources, intelligent automation devices and control algorithms into the utility grid. The proliferation of these new elements will help improve the overall distribution system performance by increasing the system reliability, power quality and efficiency while minimizing the adverse environmental impacts of centralized generation plants. With close cooperation with the industrial partner of this project (Hydro One Networks), the proposed work is expected to create a knowledge-base and tools that are immensely useful to the energy system industry. It will also lay the theoretical foundations in the emerging area of SDSs research.