Consequence-based framework for electric power providers using Bayesian belief network. (January 2015)

• Record Type: Journal Article
• Authors: Buriticá, Jessica A.; Tesfamariam, Solomon
• Is Part Of: International journal of electrical power & energy systems. Volume 64(2015:Jan.)
• Page Start: 233
• Page End: 241
• Publication Date: 2015-01
• Subjects: Consequence-based framework -- Bayesian belief network -- Power utility -- Decision making; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2014.07.034
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Consequence-based framework for decision-making in electrical power systems using Bayesian belief network. Identification of performance objectives and its corresponding key performance indicators. Sensitivity analysis for the identification of high consequence objectives and indicators. Consequence-based analysis is applied to 10 Canadian power utilities. Abstract: Novel consequence-based framework for electric power providers is proposed. This framework includes six performance objectives, such as reputation, health and safety, environmental, financial, reliability, and system conditions. The six performance objectives are quantified with the consideration of 41 key performance indicators (KPIs). The framework is illustrated with a case study of 10 Canadian power utilities. Furthermore, a sensitivity analysis is undertaken to identify importance of the KPIs on the decision framework.