Locating major harmonic current contributors by layered knowledge discovery in database

M. K. So; W. H. Lau; C. F. Tse Norman; K. F. Tsang; M. C. Leung

doi:10.1109/PES.2011.6039139

Locating major harmonic current contributors by layered knowledge discovery in database

M. K. So
, W. H. Lau
, C. F. Tse Norman
, K. F. Tsang
, M. C. Leung

Department of Electrical Engineering

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

1 Citation (Scopus)

Abstract

Harmonic monitoring becomes increasingly important in harmonic management of building low voltage power distribution system (LVPDS). Excessive harmonic currents result in decreasing energy efficiency. It is also harmful to the sensitive devices and can even lead to the failure of devices. As a result, power quality monitoring system (PQMS) has been widely installed in a facility management to monitor building LVPDS. This paper presents a diagnosis approach for the PQMS to locate major harmonic currents contributors based on a knowledge discovery in database (KDD) procedure. The key data used for the analysis includes the normalized values of instant power consumption and total harmonic distortion of current (THDI). The diagnosis is illustrated with a case study for which a PQMS is installed in an education institute. The results obtained from the PQMS are also useful for demand-side management and demand dispatch in future microgrid system. © 2011 IEEE.

Original language	English
Title of host publication	IEEE Power and Energy Society General Meeting
DOIs	https://doi.org/10.1109/PES.2011.6039139
Publication status	Published - 2011
Event	2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future - Detroit, MI, United States Duration: 24 Jul 2011 → 28 Jul 2011

Publication series

Name
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future
Place	United States
City	Detroit, MI
Period	24/07/11 → 28/07/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 12 Responsible Consumption and Production

Research Keywords

Harmonic monitoring
knowledge discovery in database
low voltage electric power system
major harmonic currents contributors
total harmonic distortion of current

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10.1109/PES.2011.6039139

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@inproceedings{8b28be19274f4ec0985bd4d48858fa1c,

title = "Locating major harmonic current contributors by layered knowledge discovery in database",

abstract = "Harmonic monitoring becomes increasingly important in harmonic management of building low voltage power distribution system (LVPDS). Excessive harmonic currents result in decreasing energy efficiency. It is also harmful to the sensitive devices and can even lead to the failure of devices. As a result, power quality monitoring system (PQMS) has been widely installed in a facility management to monitor building LVPDS. This paper presents a diagnosis approach for the PQMS to locate major harmonic currents contributors based on a knowledge discovery in database (KDD) procedure. The key data used for the analysis includes the normalized values of instant power consumption and total harmonic distortion of current (THDI). The diagnosis is illustrated with a case study for which a PQMS is installed in an education institute. The results obtained from the PQMS are also useful for demand-side management and demand dispatch in future microgrid system. {\textcopyright} 2011 IEEE.",

keywords = "Harmonic monitoring, knowledge discovery in database, low voltage electric power system, major harmonic currents contributors, total harmonic distortion of current",

author = "So, \{M. K.\} and Lau, \{W. H.\} and Norman, \{C. F. Tse\} and Tsang, \{K. F.\} and Leung, \{M. C.\}",

year = "2011",

doi = "10.1109/PES.2011.6039139",

language = "English",

isbn = "9781457710018",

booktitle = "IEEE Power and Energy Society General Meeting",

note = "2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future ; Conference date: 24-07-2011 Through 28-07-2011",

}

So, MK, Lau, WH , Norman, CFT , Tsang, KF & Leung, MC 2011, Locating major harmonic current contributors by layered knowledge discovery in database. in IEEE Power and Energy Society General Meeting., 6039139, 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future, Detroit, MI, United States, 24/07/11. https://doi.org/10.1109/PES.2011.6039139

TY - GEN

T1 - Locating major harmonic current contributors by layered knowledge discovery in database

AU - So, M. K.

AU - Lau, W. H.

AU - Norman, C. F. Tse

AU - Tsang, K. F.

AU - Leung, M. C.

PY - 2011

Y1 - 2011

N2 - Harmonic monitoring becomes increasingly important in harmonic management of building low voltage power distribution system (LVPDS). Excessive harmonic currents result in decreasing energy efficiency. It is also harmful to the sensitive devices and can even lead to the failure of devices. As a result, power quality monitoring system (PQMS) has been widely installed in a facility management to monitor building LVPDS. This paper presents a diagnosis approach for the PQMS to locate major harmonic currents contributors based on a knowledge discovery in database (KDD) procedure. The key data used for the analysis includes the normalized values of instant power consumption and total harmonic distortion of current (THDI). The diagnosis is illustrated with a case study for which a PQMS is installed in an education institute. The results obtained from the PQMS are also useful for demand-side management and demand dispatch in future microgrid system. © 2011 IEEE.

AB - Harmonic monitoring becomes increasingly important in harmonic management of building low voltage power distribution system (LVPDS). Excessive harmonic currents result in decreasing energy efficiency. It is also harmful to the sensitive devices and can even lead to the failure of devices. As a result, power quality monitoring system (PQMS) has been widely installed in a facility management to monitor building LVPDS. This paper presents a diagnosis approach for the PQMS to locate major harmonic currents contributors based on a knowledge discovery in database (KDD) procedure. The key data used for the analysis includes the normalized values of instant power consumption and total harmonic distortion of current (THDI). The diagnosis is illustrated with a case study for which a PQMS is installed in an education institute. The results obtained from the PQMS are also useful for demand-side management and demand dispatch in future microgrid system. © 2011 IEEE.

KW - Harmonic monitoring

KW - knowledge discovery in database

KW - low voltage electric power system

KW - major harmonic currents contributors

KW - total harmonic distortion of current

UR - https://www.scopus.com/pages/publications/82855181106

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-82855181106&origin=recordpage

U2 - 10.1109/PES.2011.6039139

DO - 10.1109/PES.2011.6039139

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781457710018

BT - IEEE Power and Energy Society General Meeting

T2 - 2011 IEEE PES General Meeting: The Electrification of Transportation and the Grid of the Future

Y2 - 24 July 2011 through 28 July 2011

ER -

Locating major harmonic current contributors by layered knowledge discovery in database

Abstract

Publication series

Conference

UN SDGs

Research Keywords

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