Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Intelligent control design for high performance wind farm with PV integration within micro grid
EF 2016-17
Résumé
Over the past two decades, there are many studies that work for directing sustainable energy sources and Smart Grid System as a commendable solution for managing integrated energy solutions. The main research activity will be focused on developing new intelligent methodologies to provide important contributions making use of hybrid renewable energy resources of wind farm with PV in an integrated applicable power system. The traditional power grids are characterized by simplicity in centralizing energy production and consumption; but are undergoing to much more complex conditions with interconnected models. However, Micro-grids become intelligent and smooth for energy production especially solar PV panels, wind-farm turbines whereas they have advantages of the reduction in pollution and green-house gas emission, and the reduced dependence of the nation from oil suppliers.So the integration of Micro-grid resources will characterized by increased utilization of renewable energies, the widespread application of new power electronic devices with application of intelligent control strategies. The MG must have also robustness power control system that controls and allows its connection to the electric grid. The Hybrid energy integration enables the use and exploitation of on-shore and off-shore wind energy, PV solar energy, but this requires the development of appropriate power-intelligent control strategy for a grid-connected hybrid generation to make consistent power transfer to the system.Hence, the project task will be focused towards the implementation of flexible solutions that investigating economic operation, minimization of their environmental impact and efficient utilization of resources with reducing the failure in energy supply and allowing a transfer to the utility power network of not consumed energy, reducing the necessity of increasing power plant number or their power capacity. Recently, there are many artificial intelligent controller can be applied for designing the controller. And, toachieve the optimal performance, many recent innovated heuristics optimization methods will be presented and
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
500390-2016
Name nom
Gaber, Hossam
Department département
Energy Systems & Nuclear Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
306
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy efficiency
Area of application fr
Efficacité énergétique
Research subject code
2300
Research subject group en
Fuel and energy technology
Research subject group fr
Combustibles et technologie de l'énergie
Research subject en
Fuel and energy technology (economic geology, use 4003)
Research subject fr
Combustibles et technologie de l'énergie (géologie économique, utiliser 4003)
Partie
1
Nb partie
1
Application title
Intelligent control design for high performance wind farm with PV integration within micro grid
Keyword
NSERC
Application summary
Over the past two decades, there are many studies that work for directing sustainable energy sources and Smart Grid System as a commendable solution for managing integrated energy solutions. The main research activity will be focused on developing new intelligent methodologies to provide important contributions making use of hybrid renewable energy resources of wind farm with PV in an integrated applicable power system. The traditional power grids are characterized by simplicity in centralizing energy production and consumption; but are undergoing to much more complex conditions with interconnected models. However, Micro-grids become intelligent and smooth for energy production especially solar PV panels, wind-farm turbines whereas they have advantages of the reduction in pollution and green-house gas emission, and the reduced dependence of the nation from oil suppliers.So the integration of Micro-grid resources will characterized by increased utilization of renewable energies, the widespread application of new power electronic devices with application of intelligent control strategies. The MG must have also robustness power control system that controls and allows its connection to the electric grid. The Hybrid energy integration enables the use and exploitation of on-shore and off-shore wind energy, PV solar energy, but this requires the development of appropriate power-intelligent control strategy for a grid-connected hybrid generation to make consistent power transfer to the system.Hence, the project task will be focused towards the implementation of flexible solutions that investigating economic operation, minimization of their environmental impact and efficient utilization of resources with reducing the failure in energy supply and allowing a transfer to the utility power network of not consumed energy, reducing the necessity of increasing power plant number or their power capacity. Recently, there are many artificial intelligent controller can be applied for designing the controller. And, toachieve the optimal performance, many recent innovated heuristics optimization methods will be presented and