Grant: Discovery Grants Program - Individual
University of Alberta
$94,000.00
Power Quality: Contemporary Issues and Solutions
EF 2022-23
Résumé
Electric power grids are experiencing unprecedented pressure to modernize in recent years, driven by government policies, technology developments and social expectations. Key drivers for the change include (1) the emergence of large scale renewable energy sources, (2) increased public interest in energy efficiency and conservation, (3) high social expectations for resilient, reliable, and high quality electricity supply and (4) the advancement in information and computing technology. These developments have led to a series of research, development, and application activities, resulting in an industry-wide movement called “electric grid modernization”.Power quality, as an essential component of grid modernization, is facing similar challenges. For example, the grid is experiencing increased power disturbances due to renewable energy sources and energy efficient appliances. Yet systematic and efficient solutions to deal with such problems are still elusive. On the other hand, massive amount of disturbance data with a granularity as fine as multi-cycle waveforms have been collected. Industry is still searching for ways to make good use of the data. The proposed discovery grant program is designed to address such contemporary power quality issues and, more specifically, to develop innovative disturbance diagnosis and data analytics solutions. The envisioned program is composed of two main themes: (1) power quality disturbance diagnosis and (2) power disturbance data analytics. For the first theme, the program will investigate the power quality impact of mass adoption of energy efficient home appliances and distributed energy sources. It will focus on creating innovative troubleshooting techniques. For the second theme, a data analytics based framework to harvest information from power disturbance data will be developed. The goal is to establish a new form of situational awareness for modern power grids. Potential impact of this proposed program includes (a) reducing the negative power quality impact of energy efficient and renewable technologies, (b) improving industry standards on power quality, and (c) introducing a new platform for grid monitoring.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2017-03806
Name nom
Xu, Wilsun
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2017
Award amount
94000
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
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Power Quality: Contemporary Issues and Solutions
Application summary
Electric power grids are experiencing unprecedented pressure to modernize in recent years, driven by government policies, technology developments and social expectations. Key drivers for the change include (1) the emergence of large scale renewable energy sources, (2) increased public interest in energy efficiency and conservation, (3) high social expectations for resilient, reliable, and high quality electricity supply and (4) the advancement in information and computing technology. These developments have led to a series of research, development, and application activities, resulting in an industry-wide movement called “electric grid modernization”.Power quality, as an essential component of grid modernization, is facing similar challenges. For example, the grid is experiencing increased power disturbances due to renewable energy sources and energy efficient appliances. Yet systematic and efficient solutions to deal with such problems are still elusive. On the other hand, massive amount of disturbance data with a granularity as fine as multi-cycle waveforms have been collected. Industry is still searching for ways to make good use of the data. The proposed discovery grant program is designed to address such contemporary power quality issues and, more specifically, to develop innovative disturbance diagnosis and data analytics solutions. The envisioned program is composed of two main themes: (1) power quality disturbance diagnosis and (2) power disturbance data analytics. For the first theme, the program will investigate the power quality impact of mass adoption of energy efficient home appliances and distributed energy sources. It will focus on creating innovative troubleshooting techniques. For the second theme, a data analytics based framework to harvest information from power disturbance data will be developed. The goal is to establish a new form of situational awareness for modern power grids. Potential impact of this proposed program includes (a) reducing the negative power quality impact of energy efficient and renewable technologies, (b) improving industry standards on power quality, and (c) introducing a new platform for grid monitoring.