Grant: Strategic Projects - Group
University of Alberta
$180,700.00
Advanced dynamic thermal rating system using numerical weather prediction
EF 2010-11
Résumé
Society's demand for electricity continues to grow, yet environmental, regulatory and economic constraints often preclude the construction of new power plants and transmission lines. The challenge now faced by engineers, equipment manufacturers, and regulatory agencies is to find ways to maximize the capacity of existing power lines, derived from the maximum allowable flow of power. The most important factor limiting this flow is thermal, as overloading of thermally limited circuits can result in physical failures. It is typically based on conservative weather assumptions to ensure that safety and reliability requirements are met. As a result, transmission lines are generally underutilized. At the same time, the risk of circuit failure is not completely eliminated, because the assumptions, while conservative, do not represent a true worst-case scenario. This project will develop a system for dynamic rating of transmission lines based on mesoscale Numerical Weather Prediction (NWP) models, that have recently become commonly available and that can be run with relatively modest computing resources. These models can provide much more detailed information than any observation or measurement network. Rating systems using outputs of such models will provide relevant meteorological parameters with a spatial resolution comparable to the spans of overhead lines themselves. Besides better utilization of existing transmission lines, the proposed system will provide a number of other
benefits, such as: 1) Construction of new transmission circuits can be deferred or avoided based on the knowledge of true line ampacities; 2) Continuous monitoring and comparison of ratings and actual loads can be used for asset management and maintenance purposes; 3) Energy losses can be minimized by avoiding operation of lines close to their actual thermal limit; 4) Unused line capacity can be harnessed for new developments of alternative (e.g. wind power) generation assets ; 5) Electricity trading opportunities can be seized and unnecessary load shedding avoided.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
364982-2008
Name nom
Musilek, Petr
Department département
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
2010
Competition year année de concours
2008
Award amount
180700
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1047
Committee name en
Strategic Projects Selection Panel - Energy
Committee name fr
Comité de sélection des projets stratégiques - Énergie
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
2501
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Power systems
Research subject fr
Réseaux électriques
Partie
3
Nb partie
3
Application title
Advanced dynamic thermal rating system using numerical weather prediction
Keyword
NSERC
Application summary
Society's demand for electricity continues to grow, yet environmental, regulatory and economic constraints often preclude the construction of new power plants and transmission lines. The challenge now faced by engineers, equipment manufacturers, and regulatory agencies is to find ways to maximize the capacity of existing power lines, derived from the maximum allowable flow of power. The most important factor limiting this flow is thermal, as overloading of thermally limited circuits can result in physical failures. It is typically based on conservative weather assumptions to ensure that safety and reliability requirements are met. As a result, transmission lines are generally underutilized. At the same time, the risk of circuit failure is not completely eliminated, because the assumptions, while conservative, do not represent a true worst-case scenario. This project will develop a system for dynamic rating of transmission lines based on mesoscale Numerical Weather Prediction (NWP) models, that have recently become commonly available and that can be run with relatively modest computing resources. These models can provide much more detailed information than any observation or measurement network. Rating systems using outputs of such models will provide relevant meteorological parameters with a spatial resolution comparable to the spans of overhead lines themselves. Besides better utilization of existing transmission lines, the proposed system will provide a number of other
benefits, such as: 1) Construction of new transmission circuits can be deferred or avoided based on the knowledge of true line ampacities; 2) Continuous monitoring and comparison of ratings and actual loads can be used for asset management and maintenance purposes; 3) Energy losses can be minimized by avoiding operation of lines close to their actual thermal limit; 4) Unused line capacity can be harnessed for new developments of alternative (e.g. wind power) generation assets ; 5) Electricity trading opportunities can be seized and unnecessary load shedding avoided.