Fuzzy Logic Approach to Predictive Risk Analysis in Distribution Outage Management Academic Article

abstract

• 2010-2012 IEEE. Weather impacts are one of the main causes of distribution outages. To devise strategies to mitigate weather impacts, a fuzzy logic system for decision making is introduced. It allows utility operators to achieve more precise outage predictions and optimize real time operation and maintenance scheduling. A novel approach for weather-driven risk framework is applied to process the data and produce risk maps for better decision making. The use of weather data in reducing fault location time, an important performance improvement in outage management, is also presented.

authors

• Kezunovic, Mladen

published proceedings

• IEEE TRANSACTIONS ON SMART GRID

altmetric score

• 29.016

author list (cited authors)

• Chen, P., & Kezunovic, M.

citation count

• 42

complete list of authors

• Chen, Po-Chen||Kezunovic, Mladen

publication date

• November 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Analytical Models
• Big Data
• Fault Location
• Fuzzy Systems
• Geographic Information Systems
• Meteorology
• Outage Management
• Power Distribution
• Risk Analysis
• Smart Grids

Digital Object Identifier (DOI)

• 10.1109/TSG.2016.2576282

start page

• 2827

end page

• 2836

volume

• 7

issue

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftsg.2016.2576282