Grant: Discovery Grants Program - Individual
Saint Mary's University
$40,000.00
Optimization, Management, and Supervision of Clustered Microgrids for Sustainable Energy in Smart Communities and Cities
FY 2024-25
Summary
Canada is a large country with metropolitan cities and numerous remote communities. Renewable resources based microgrids can be a cost-effective solution to increase the electricity generation and help the current utilities to meet the increased demand due to population growth in metropolitan cities and reduce the reliance on fossil fuel sources in remote communities. Furthermore, clustered microgrids can reduce the stress on the main utility and increase reliability and resilience at reduced costs. Clustered microgrids can provide financial benefits through generating and exchanging low-cost electricity and offer energy solutions for smart communities and cities.
A microgrid is a small-scale electric network that includes several connected distributed energy resources to meet the load demand for different end-users such as residential, industries, businesses, and communities. It can operate as a standalone system, with storage capabilities, and/or connected to the main utility grid. Furthermore, it includes hardware and software platforms for the energy conversion, distribution, and monitoring. Microgrids can have the capability to communicate between each other, in a clustered mode, and with the main utility grid to exchange the energy for more electric reliability and resilience.
The efficient operation of clustered microgrids requires optimization, management, and supervision due to the intermittence of the renewable resources, the unbalanced load distribution in communities and cities and the unbalance between the individual microgrids supply and the demand. These topics will be investigated in this proposed research.
Different economic, environmental and health objectives will be assessed in the optimization using advanced tools based on modelling and artificial intelligence.
This research will be committed to finding innovative, cost-effective solutions to enhance the operation and usage of microgrids in a clustered manner to provide efficient energy solutions for smart communities and cities. It will contribute to the research community aiming to find new ways to generate and distribute the electric energy and move away from the conventional centralized main grid. At the laboratory facility at Saint Mary's University, different platforms will be used for simulation, design, monitoring, control, and optimizing of microgrids. Large scale microgrids will be investigated in collaboration with research laboratories from national and international universities, local and national industries.
This research will provide an excellent environment for the training of Highly Qualified Personnel (HQP) at undergraduate and graduate levels in different engineering fields such as power electronics, control, electric drives, power systems and computer software.
The proposed research will bring contributions to scientific knowledge, solutions for industry and success for HQP training in a wide range of fields involving multidisciplinary engineering.
Program
Discovery Grants Program - Individual
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2024-04568
Name nom
Merabet, Adel
Department département
Engineering
Organization id
85
Institution établissement
Saint Mary's University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
40000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
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
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Optimization, Management, and Supervision of Clustered Microgrids for Sustainable Energy in Smart Communities and Cities
Keywords
renewable energy; microgrid; cluster; optimization; management; supervision; control; artificial intelligence
Application summary
Canada is a large country with metropolitan cities and numerous remote communities. Renewable resources based microgrids can be a cost-effective solution to increase the electricity generation and help the current utilities to meet the increased demand due to population growth in metropolitan cities and reduce the reliance on fossil fuel sources in remote communities. Furthermore, clustered microgrids can reduce the stress on the main utility and increase reliability and resilience at reduced costs. Clustered microgrids can provide financial benefits through generating and exchanging low-cost electricity and offer energy solutions for smart communities and cities.
A microgrid is a small-scale electric network that includes several connected distributed energy resources to meet the load demand for different end-users such as residential, industries, businesses, and communities. It can operate as a standalone system, with storage capabilities, and/or connected to the main utility grid. Furthermore, it includes hardware and software platforms for the energy conversion, distribution, and monitoring. Microgrids can have the capability to communicate between each other, in a clustered mode, and with the main utility grid to exchange the energy for more electric reliability and resilience.
The efficient operation of clustered microgrids requires optimization, management, and supervision due to the intermittence of the renewable resources, the unbalanced load distribution in communities and cities and the unbalance between the individual microgrids supply and the demand. These topics will be investigated in this proposed research.
Different economic, environmental and health objectives will be assessed in the optimization using advanced tools based on modelling and artificial intelligence.
This research will be committed to finding innovative, cost-effective solutions to enhance the operation and usage of microgrids in a clustered manner to provide efficient energy solutions for smart communities and cities. It will contribute to the research community aiming to find new ways to generate and distribute the electric energy and move away from the conventional centralized main grid. At the laboratory facility at Saint Mary's University, different platforms will be used for simulation, design, monitoring, control, and optimizing of microgrids. Large scale microgrids will be investigated in collaboration with research laboratories from national and international universities, local and national industries.
This research will provide an excellent environment for the training of Highly Qualified Personnel (HQP) at undergraduate and graduate levels in different engineering fields such as power electronics, control, electric drives, power systems and computer software.
The proposed research will bring contributions to scientific knowledge, solutions for industry and success for HQP training in a wide range of fields involving multidisciplinary engineering.