Loading…
Synthetic quantitative assessment of power quality in competition market environment
A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; t...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 4 |
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Yonghai Xu Lei Chen Xiangning Xiao |
description | A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; the global unique index of these indexes can be obtained. The results obtained from each index unified are unified again using fuzzy synthetic appraisal in order to give an objective, overall and unique index of power quality. The special assessment method for voltage sag using the average sag energy index is also discussed. Finally, a transaction mode makes the maximum benefits for different unit commitment as objective function and takes the power quality into account is presented, and then power energy really becomes a commodity which would be evaluated a price according to power quality |
doi_str_mv | 10.1109/TDC.2005.1546836 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_1546836</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1546836</ieee_id><sourcerecordid>1546836</sourcerecordid><originalsourceid>FETCH-LOGICAL-i160t-3e6bd3ac05b85c37eed24098dfcb2b426fa7a27aa900c1cd5ac12ecab5a3980f3</originalsourceid><addsrcrecordid>eNo9kMtOwzAURC0eEqV0j8TGP5By_YyzRIUCUiUWhHV149wIQ-uU2BT172lFxWoWM2c0GsauBUyFgOq2vp9NJYCZCqOtU_aEjaSwUDir9Sm7hNKBqoTQ-uzfUPaCTVL6AABhnVSlGbH6dRfzO-Xg-dc3xhwy5rAljilRSmuKmfcd3_Q_NBwCq5B3PETu-_VmD-XQR77G4ZMyp7gNQx8PyBU773CVaHLUMXubP9Szp2Lx8vg8u1sUYT8oF4ps0yr0YBpnvCqJWqmhcm3nG9loaTssUZaIFYAXvjXohSSPjUFVOejUmN389QYiWm6GsJ-yWx4PUb8nblU4</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Synthetic quantitative assessment of power quality in competition market environment</title><source>IEEE Xplore All Conference Series</source><creator>Yonghai Xu ; Lei Chen ; Xiangning Xiao</creator><creatorcontrib>Yonghai Xu ; Lei Chen ; Xiangning Xiao</creatorcontrib><description>A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; the global unique index of these indexes can be obtained. The results obtained from each index unified are unified again using fuzzy synthetic appraisal in order to give an objective, overall and unique index of power quality. The special assessment method for voltage sag using the average sag energy index is also discussed. Finally, a transaction mode makes the maximum benefits for different unit commitment as objective function and takes the power quality into account is presented, and then power energy really becomes a commodity which would be evaluated a price according to power quality</description><identifier>ISSN: 2160-8636</identifier><identifier>ISBN: 0780391144</identifier><identifier>ISBN: 9780780391147</identifier><identifier>EISSN: 2160-8644</identifier><identifier>DOI: 10.1109/TDC.2005.1546836</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algebra ; Appraisal ; fuzzy mathematics ; Mathematics ; power market ; Power markets ; Power quality ; power quality assessment ; Power system economics ; Power system harmonics ; Probability ; probability and mathematical statistics ; Statistics ; Voltage fluctuations</subject><ispartof>2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific, 2005, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1546836$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,27904,54533,54898,54910</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1546836$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yonghai Xu</creatorcontrib><creatorcontrib>Lei Chen</creatorcontrib><creatorcontrib>Xiangning Xiao</creatorcontrib><title>Synthetic quantitative assessment of power quality in competition market environment</title><title>2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific</title><addtitle>TDC</addtitle><description>A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; the global unique index of these indexes can be obtained. The results obtained from each index unified are unified again using fuzzy synthetic appraisal in order to give an objective, overall and unique index of power quality. The special assessment method for voltage sag using the average sag energy index is also discussed. Finally, a transaction mode makes the maximum benefits for different unit commitment as objective function and takes the power quality into account is presented, and then power energy really becomes a commodity which would be evaluated a price according to power quality</description><subject>Algebra</subject><subject>Appraisal</subject><subject>fuzzy mathematics</subject><subject>Mathematics</subject><subject>power market</subject><subject>Power markets</subject><subject>Power quality</subject><subject>power quality assessment</subject><subject>Power system economics</subject><subject>Power system harmonics</subject><subject>Probability</subject><subject>probability and mathematical statistics</subject><subject>Statistics</subject><subject>Voltage fluctuations</subject><issn>2160-8636</issn><issn>2160-8644</issn><isbn>0780391144</isbn><isbn>9780780391147</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMtOwzAURC0eEqV0j8TGP5By_YyzRIUCUiUWhHV149wIQ-uU2BT172lFxWoWM2c0GsauBUyFgOq2vp9NJYCZCqOtU_aEjaSwUDir9Sm7hNKBqoTQ-uzfUPaCTVL6AABhnVSlGbH6dRfzO-Xg-dc3xhwy5rAljilRSmuKmfcd3_Q_NBwCq5B3PETu-_VmD-XQR77G4ZMyp7gNQx8PyBU773CVaHLUMXubP9Szp2Lx8vg8u1sUYT8oF4ps0yr0YBpnvCqJWqmhcm3nG9loaTssUZaIFYAXvjXohSSPjUFVOejUmN389QYiWm6GsJ-yWx4PUb8nblU4</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Yonghai Xu</creator><creator>Lei Chen</creator><creator>Xiangning Xiao</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>Synthetic quantitative assessment of power quality in competition market environment</title><author>Yonghai Xu ; Lei Chen ; Xiangning Xiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i160t-3e6bd3ac05b85c37eed24098dfcb2b426fa7a27aa900c1cd5ac12ecab5a3980f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algebra</topic><topic>Appraisal</topic><topic>fuzzy mathematics</topic><topic>Mathematics</topic><topic>power market</topic><topic>Power markets</topic><topic>Power quality</topic><topic>power quality assessment</topic><topic>Power system economics</topic><topic>Power system harmonics</topic><topic>Probability</topic><topic>probability and mathematical statistics</topic><topic>Statistics</topic><topic>Voltage fluctuations</topic><toplevel>online_resources</toplevel><creatorcontrib>Yonghai Xu</creatorcontrib><creatorcontrib>Lei Chen</creatorcontrib><creatorcontrib>Xiangning Xiao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yonghai Xu</au><au>Lei Chen</au><au>Xiangning Xiao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Synthetic quantitative assessment of power quality in competition market environment</atitle><btitle>2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific</btitle><stitle>TDC</stitle><date>2005</date><risdate>2005</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2160-8636</issn><eissn>2160-8644</eissn><isbn>0780391144</isbn><isbn>9780780391147</isbn><abstract>A new method, which integrates the virtue of the probability and mathematical statistics with that of the fuzzy mathematics for power quality assessment, is proposed in this paper. The index showing an aspect of power quality is evaluated using probability and mathematical statistics respectively; the global unique index of these indexes can be obtained. The results obtained from each index unified are unified again using fuzzy synthetic appraisal in order to give an objective, overall and unique index of power quality. The special assessment method for voltage sag using the average sag energy index is also discussed. Finally, a transaction mode makes the maximum benefits for different unit commitment as objective function and takes the power quality into account is presented, and then power energy really becomes a commodity which would be evaluated a price according to power quality</abstract><pub>IEEE</pub><doi>10.1109/TDC.2005.1546836</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2160-8636 |
ispartof | 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific, 2005, p.1-4 |
issn | 2160-8636 2160-8644 |
language | eng |
recordid | cdi_ieee_primary_1546836 |
source | IEEE Xplore All Conference Series |
subjects | Algebra Appraisal fuzzy mathematics Mathematics power market Power markets Power quality power quality assessment Power system economics Power system harmonics Probability probability and mathematical statistics Statistics Voltage fluctuations |
title | Synthetic quantitative assessment of power quality in competition market environment |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T01%3A34%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Synthetic%20quantitative%20assessment%20of%20power%20quality%20in%20competition%20market%20environment&rft.btitle=2005%20IEEE/PES%20Transmission%20&%20Distribution%20Conference%20&%20Exposition:%20Asia%20and%20Pacific&rft.au=Yonghai%20Xu&rft.date=2005&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=2160-8636&rft.eissn=2160-8644&rft.isbn=0780391144&rft.isbn_list=9780780391147&rft_id=info:doi/10.1109/TDC.2005.1546836&rft_dat=%3Cieee_CHZPO%3E1546836%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i160t-3e6bd3ac05b85c37eed24098dfcb2b426fa7a27aa900c1cd5ac12ecab5a3980f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1546836&rfr_iscdi=true |