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Grant: Discovery Grants Program - Individual

Lakehead University

$42,000.00

Power Conversion, Fault Protection, and Power Management Schemes for Wind Energy Conversion Systems

FY 2023-24

Summary
Over the last two decades, wind energy has experienced significant growth as a reliable, clean, and low-cost source of electricity. In 2021, the installed wind energy capacity reached 840 GW (gigawatts) worldwide, which lead to a reduction of 1.2 billion tonnes of greenhouse gas (GHG) emissions per year. According to the Canadian Renewable Energy Association (CanREA), Canada is now the 9th largest producer of wind energy in the world with installed capacity reaching 14.3 GW in 2021. Wind energy is now the lowest-cost source of new electricity generation in Canada. As CanREA has stated, the "2050 Vision for Net-Zero GHG" can only be achieved by increasing Canada's wind and solar energy capacity by almost ten-fold over the next 30 years. This will create thousands of well-paying jobs in the construction of new facilities, ongoing operations, and maintenance of these sites. A wind energy conversion system (WECS) consists of a wind turbine, generator, energy storage, power converters and, a fault protection scheme. These systems are complex, nonlinear and are subject to system uncertainties. Despite tremendous growth and a lot of research in wind energy, some critical technical problems remain unsolved. For example, robust maximum power transfer from wind to the load/grid line at variable wind speeds, loss reduction in wind generator and power converters, optimal coordination of protective relays during fault/abnormal wind, and optimized power exchange management between energy storage device (e.g., Lithium-ion battery) and wind generator require further research. The main objectives of this research program are to develop advanced and innovative control technologies to achieve energy-efficient, robust and sustainable WECS for both grid-connected and standalone modes, including artificial intelligence algorithms-based robust maximum power transfer, machine loss minimization, optimal power exchange management, novel fast and efficient switching device (silicon-carbide)-based power converters and fault protection schemes to cope with system nonlinearities and wind uncertainties. The developed control technologies as well as the trained highly qualified personnel (two PhD and three master's students) from this research program are expected to be utilized by the Canadian power and wind energy industries to meet the ongoing and future green energy demands while improving the energy system's performance, cost, efficiency, robustness, and sustainability; thereby making contributions to Canada's economic growth.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2023-03323
Name nom
Uddin, Mohammad
Department département
Electrical Engineering - Electrical Engineering
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
42000
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
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Power Conversion, Fault Protection, and Power Management Schemes for Wind Energy Conversion Systems
Keyword
Artificial intelligence; Electric Machines; Machine loss minimization; Optimal power management; Wind energy conversion system; Wind farm protection
Application summary
Over the last two decades, wind energy has experienced significant growth as a reliable, clean, and low-cost source of electricity. In 2021, the installed wind energy capacity reached 840 GW (gigawatts) worldwide, which lead to a reduction of 1.2 billion tonnes of greenhouse gas (GHG) emissions per year. According to the Canadian Renewable Energy Association (CanREA), Canada is now the 9th largest producer of wind energy in the world with installed capacity reaching 14.3 GW in 2021. Wind energy is now the lowest-cost source of new electricity generation in Canada. As CanREA has stated, the "2050 Vision for Net-Zero GHG" can only be achieved by increasing Canada's wind and solar energy capacity by almost ten-fold over the next 30 years. This will create thousands of well-paying jobs in the construction of new facilities, ongoing operations, and maintenance of these sites. A wind energy conversion system (WECS) consists of a wind turbine, generator, energy storage, power converters and, a fault protection scheme. These systems are complex, nonlinear and are subject to system uncertainties. Despite tremendous growth and a lot of research in wind energy, some critical technical problems remain unsolved. For example, robust maximum power transfer from wind to the load/grid line at variable wind speeds, loss reduction in wind generator and power converters, optimal coordination of protective relays during fault/abnormal wind, and optimized power exchange management between energy storage device (e.g., Lithium-ion battery) and wind generator require further research. The main objectives of this research program are to develop advanced and innovative control technologies to achieve energy-efficient, robust and sustainable WECS for both grid-connected and standalone modes, including artificial intelligence algorithms-based robust maximum power transfer, machine loss minimization, optimal power exchange management, novel fast and efficient switching device (silicon-carbide)-based power converters and fault protection schemes to cope with system nonlinearities and wind uncertainties. The developed control technologies as well as the trained highly qualified personnel (two PhD and three master's students) from this research program are expected to be utilized by the Canadian power and wind energy industries to meet the ongoing and future green energy demands while improving the energy system's performance, cost, efficiency, robustness, and sustainability; thereby making contributions to Canada's economic growth.
Lakehead University - $42,000 Grant (2023-24) | Canada Spends