Robust Phase Detection in Distribution Systems Conference Paper

abstract

• 2017 IEEE. This paper proposes an on-line algorithm to detect the phase connection for end users in a power distribution system. In distribution systems, feeder switching often changes the phase connection information of end users in the real-time operation. Recently, Advanced Metering infrastructure (AMI) are being installed in distribution systems. They enable utilities to record end-point voltages in defined intervals. This paper first presents a method to find phases belonging to same phase using synchronized data and fixed topology of distribution grid. Then, this paper presents a method to clean the noisy data through Artificial Neural Network (ANN) trained by the historical data. The proposed methods is tested using modified 13-bus IEEE distribution test system on the low-voltage side.

name of conference

• 2017 IEEE Texas Power and Energy Conference (TPEC)

authors

• Xie, Le

published proceedings

• 2017 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC)

author list (cited authors)

• Modarresi, M. S., Huang, T., Ming, H., & Xie, L. e.

citation count

• 5

complete list of authors

• Modarresi, M Sadegh||Huang, Tong||Ming, Hao||Xie, Le

publication date

• February 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Artificial Neural Network
• Covariance Matrix
• Distribution Systems
• K-means Algorithm
• Phase Detection
• State Estimation

Digital Object Identifier (DOI)

• 10.1109/tpec.2017.7868279

International Standard Book Number (ISBN) 13

• 9781509066179

start page

• 1

end page

• 5