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Grant: Collaborative Research and Development Grants

University of Saskatchewan

$56,620.00

Value based reliability investment in a modern power system

EF 2016-17

Résumé
Reliability assessment plays a major role in planning generating capacity and transmission network in order to arrive at optimum investment decisions. The reliability and economics of alternative planning options often compete with each other, and the investment cost required to achieve a certain level of reliability should be justified by the benefits derived by society with the improved reliability. Electric power utilities routinely apply established reliability criteria to determine appropriate capacity expansion projects. A reliability level approved as the planning criterion for an electric utility is perceived to provide an acceptable balance between reliability and economics. Many utilities use a loss of load expectation (LOLE) of 0.1 days per year as their reliability criteria in generation planning. Other utilities, including SaskPower, utilize generation planning criteria in other forms. It may be unrealistic to assume that one criterion, such as the LOLE of 0.1 days per year, fits all power systems that are inherently different. A comprehensive reliability cost and reliability worth evaluation is required to determine the most suitable criterion for a given power system. The researcher proposes to work jointly with SaskPower to determine the investment costs associated with generation expansion plans and the reliability worth of the projected expansion plans using customer surveys. Customer surveys are costly, time consuming and not favorably received by the public, but have been sporadically conducted in different parts of the world. A reliability criterion determined during a period of time may no longer be valid after a few years since power systems are rapidly changing in physical, operational and market structures which are mainly driven by de-regulation, renewable energy growth, emerging micro-grids and smart-grid initiatives. The proposed research will also develop a methodology based on fundamental principles of power system reliability and economics to estimate appropriate reliability criterion without having to carryout frequent customer surveys. These methods will be further extended to provide tools to conduct value based reliability evaluation that will provide valuable input in deciding investment in new system components and technologies.
Programme
Collaborative Research and Development Grants
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
486963-2015
Name nom
Karki, Rajesh
Department département
Electrical & Computer Engineering
Organization id
16
Institution établissement
University of Saskatchewan
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2015
Award amount
56620
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
1
Nb partie
2
Application title
Value based reliability investment in a modern power system
Keyword
NSERC
Application summary
Reliability assessment plays a major role in planning generating capacity and transmission network in order to arrive at optimum investment decisions. The reliability and economics of alternative planning options often compete with each other, and the investment cost required to achieve a certain level of reliability should be justified by the benefits derived by society with the improved reliability. Electric power utilities routinely apply established reliability criteria to determine appropriate capacity expansion projects. A reliability level approved as the planning criterion for an electric utility is perceived to provide an acceptable balance between reliability and economics. Many utilities use a loss of load expectation (LOLE) of 0.1 days per year as their reliability criteria in generation planning. Other utilities, including SaskPower, utilize generation planning criteria in other forms. It may be unrealistic to assume that one criterion, such as the LOLE of 0.1 days per year, fits all power systems that are inherently different. A comprehensive reliability cost and reliability worth evaluation is required to determine the most suitable criterion for a given power system. The researcher proposes to work jointly with SaskPower to determine the investment costs associated with generation expansion plans and the reliability worth of the projected expansion plans using customer surveys. Customer surveys are costly, time consuming and not favorably received by the public, but have been sporadically conducted in different parts of the world. A reliability criterion determined during a period of time may no longer be valid after a few years since power systems are rapidly changing in physical, operational and market structures which are mainly driven by de-regulation, renewable energy growth, emerging micro-grids and smart-grid initiatives. The proposed research will also develop a methodology based on fundamental principles of power system reliability and economics to estimate appropriate reliability criterion without having to carryout frequent customer surveys. These methods will be further extended to provide tools to conduct value based reliability evaluation that will provide valuable input in deciding investment in new system components and technologies.