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A maximum-entropy based fast estimation of power quality for smart microgrid

Sardar Ali, Kui Wu, Dimitri Marinakis

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Power quality plays a critical role in the reliability of power networks. The monitoring of power quality, however, is a non-trivial task due to the high cost of measurement devices and the requirement on real-time responses. As a result, we need fast algorithms to estimate the power quality in various segments of a power network, using only a small number of measurement points. In this paper, we propose a maximum-entropy (MaxEnt) based approach to estimating power quality in smart microgrid. Compared to other existing methods such as Monte Carlo Expectation Maximization (MCEM), the MaxEnt based approach is much faster. © 2013 IEEE.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Pages354-359
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 - Vancouver, BC, Canada
Duration: 21 Oct 201324 Oct 2013

Publication series

Name2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013

Conference

Conference2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
PlaceCanada
CityVancouver, BC
Period21/10/1324/10/13

Bibliographical note

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