Loading…
Optimal load shedding in distributed networks with sigmoid cost functions
The transformation of electric distribution networks towards active distribution networks leads to new possibilities in load shedding strategies, enabling more efficient load drop mechanisms in comparison to traditional networks. This paper presents an extended approach of the traditional load shedd...
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 | 164 |
container_issue | |
container_start_page | 159 |
container_title | |
container_volume | |
creator | Ruppert, Manuel Bertsch, Valentin Fichtner, Wolf |
description | The transformation of electric distribution networks towards active distribution networks leads to new possibilities in load shedding strategies, enabling more efficient load drop mechanisms in comparison to traditional networks. This paper presents an extended approach of the traditional load shedding formulation that also incorporates the cost of lost load of priority elements such as critical infrastructures, connected to the electricity grid. For this purpose, a sigmoid cost function is used. The proposed approach is formulated as a nonlinear optimization problem and solved by an interior-point method. The approach is tested using a 33 bus reference network and illustrative priority cost functions based on sigmoid functions. The results show that lost load at nodes with higher priority can be adjusted to individual demand characteristics in a more flexible way, leading to an improved overall solution in comparison to the traditional approach. |
doi_str_mv | 10.1109/SEDST.2015.7315200 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_7315200</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7315200</ieee_id><sourcerecordid>7315200</sourcerecordid><originalsourceid>FETCH-LOGICAL-i208t-dd1fbcec3f48261fe3745b197c57490742f797dcb0c07df20cd9efefed0f87a53</originalsourceid><addsrcrecordid>eNotj81OwkAURseFiQb7ArqZF2i988ftLA2ikpCwANaknTsDo6UlnSHEt5dE8i3O7uR8jD0LqIQA-7qev683lQRhKlTCSIA7VlishUZrEdXUPrAipW8AEFYbY9QjW6xOOR6bjndDQzwdPFHs9zz2nGLKY2zP2RPvfb4M40_il5gPPMX9cYjE3ZAyD-fe5Tj06Yndh6ZLvrhxwrYf883sq1yuPhezt2UZJdS5JBKhdd6poGs5FcEr1KYVFp1BbQG1DGiRXAsOkIIER9aH6whCjY1RE_by743e-91pvNaPv7vbYfUHqb9Nqg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Optimal load shedding in distributed networks with sigmoid cost functions</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ruppert, Manuel ; Bertsch, Valentin ; Fichtner, Wolf</creator><creatorcontrib>Ruppert, Manuel ; Bertsch, Valentin ; Fichtner, Wolf</creatorcontrib><description>The transformation of electric distribution networks towards active distribution networks leads to new possibilities in load shedding strategies, enabling more efficient load drop mechanisms in comparison to traditional networks. This paper presents an extended approach of the traditional load shedding formulation that also incorporates the cost of lost load of priority elements such as critical infrastructures, connected to the electricity grid. For this purpose, a sigmoid cost function is used. The proposed approach is formulated as a nonlinear optimization problem and solved by an interior-point method. The approach is tested using a 33 bus reference network and illustrative priority cost functions based on sigmoid functions. The results show that lost load at nodes with higher priority can be adjusted to individual demand characteristics in a more flexible way, leading to an improved overall solution in comparison to the traditional approach.</description><identifier>EISBN: 9781479977369</identifier><identifier>EISBN: 1479977365</identifier><identifier>DOI: 10.1109/SEDST.2015.7315200</identifier><language>eng</language><publisher>IEEE</publisher><subject>Convergence ; Cost function ; critical infrastructure ; distribution network ; interior-point method ; Load flow ; Load modeling ; Mathematical model ; nonlinear programming ; optimal load shedding ; Programming ; Reactive power ; sigmoid function</subject><ispartof>2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), 2015, p.159-164</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/7315200$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7315200$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ruppert, Manuel</creatorcontrib><creatorcontrib>Bertsch, Valentin</creatorcontrib><creatorcontrib>Fichtner, Wolf</creatorcontrib><title>Optimal load shedding in distributed networks with sigmoid cost functions</title><title>2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)</title><addtitle>SEDST</addtitle><description>The transformation of electric distribution networks towards active distribution networks leads to new possibilities in load shedding strategies, enabling more efficient load drop mechanisms in comparison to traditional networks. This paper presents an extended approach of the traditional load shedding formulation that also incorporates the cost of lost load of priority elements such as critical infrastructures, connected to the electricity grid. For this purpose, a sigmoid cost function is used. The proposed approach is formulated as a nonlinear optimization problem and solved by an interior-point method. The approach is tested using a 33 bus reference network and illustrative priority cost functions based on sigmoid functions. The results show that lost load at nodes with higher priority can be adjusted to individual demand characteristics in a more flexible way, leading to an improved overall solution in comparison to the traditional approach.</description><subject>Convergence</subject><subject>Cost function</subject><subject>critical infrastructure</subject><subject>distribution network</subject><subject>interior-point method</subject><subject>Load flow</subject><subject>Load modeling</subject><subject>Mathematical model</subject><subject>nonlinear programming</subject><subject>optimal load shedding</subject><subject>Programming</subject><subject>Reactive power</subject><subject>sigmoid function</subject><isbn>9781479977369</isbn><isbn>1479977365</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2015</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj81OwkAURseFiQb7ArqZF2i988ftLA2ikpCwANaknTsDo6UlnSHEt5dE8i3O7uR8jD0LqIQA-7qev683lQRhKlTCSIA7VlishUZrEdXUPrAipW8AEFYbY9QjW6xOOR6bjndDQzwdPFHs9zz2nGLKY2zP2RPvfb4M40_il5gPPMX9cYjE3ZAyD-fe5Tj06Yndh6ZLvrhxwrYf883sq1yuPhezt2UZJdS5JBKhdd6poGs5FcEr1KYVFp1BbQG1DGiRXAsOkIIER9aH6whCjY1RE_by743e-91pvNaPv7vbYfUHqb9Nqg</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Ruppert, Manuel</creator><creator>Bertsch, Valentin</creator><creator>Fichtner, Wolf</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20150901</creationdate><title>Optimal load shedding in distributed networks with sigmoid cost functions</title><author>Ruppert, Manuel ; Bertsch, Valentin ; Fichtner, Wolf</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-dd1fbcec3f48261fe3745b197c57490742f797dcb0c07df20cd9efefed0f87a53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Convergence</topic><topic>Cost function</topic><topic>critical infrastructure</topic><topic>distribution network</topic><topic>interior-point method</topic><topic>Load flow</topic><topic>Load modeling</topic><topic>Mathematical model</topic><topic>nonlinear programming</topic><topic>optimal load shedding</topic><topic>Programming</topic><topic>Reactive power</topic><topic>sigmoid function</topic><toplevel>online_resources</toplevel><creatorcontrib>Ruppert, Manuel</creatorcontrib><creatorcontrib>Bertsch, Valentin</creatorcontrib><creatorcontrib>Fichtner, Wolf</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ruppert, Manuel</au><au>Bertsch, Valentin</au><au>Fichtner, Wolf</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal load shedding in distributed networks with sigmoid cost functions</atitle><btitle>2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)</btitle><stitle>SEDST</stitle><date>2015-09-01</date><risdate>2015</risdate><spage>159</spage><epage>164</epage><pages>159-164</pages><eisbn>9781479977369</eisbn><eisbn>1479977365</eisbn><abstract>The transformation of electric distribution networks towards active distribution networks leads to new possibilities in load shedding strategies, enabling more efficient load drop mechanisms in comparison to traditional networks. This paper presents an extended approach of the traditional load shedding formulation that also incorporates the cost of lost load of priority elements such as critical infrastructures, connected to the electricity grid. For this purpose, a sigmoid cost function is used. The proposed approach is formulated as a nonlinear optimization problem and solved by an interior-point method. The approach is tested using a 33 bus reference network and illustrative priority cost functions based on sigmoid functions. The results show that lost load at nodes with higher priority can be adjusted to individual demand characteristics in a more flexible way, leading to an improved overall solution in comparison to the traditional approach.</abstract><pub>IEEE</pub><doi>10.1109/SEDST.2015.7315200</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISBN: 9781479977369 |
ispartof | 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), 2015, p.159-164 |
issn | |
language | eng |
recordid | cdi_ieee_primary_7315200 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Convergence Cost function critical infrastructure distribution network interior-point method Load flow Load modeling Mathematical model nonlinear programming optimal load shedding Programming Reactive power sigmoid function |
title | Optimal load shedding in distributed networks with sigmoid cost functions |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T16%3A32%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optimal%20load%20shedding%20in%20distributed%20networks%20with%20sigmoid%20cost%20functions&rft.btitle=2015%20International%20Symposium%20on%20Smart%20Electric%20Distribution%20Systems%20and%20Technologies%20(EDST)&rft.au=Ruppert,%20Manuel&rft.date=2015-09-01&rft.spage=159&rft.epage=164&rft.pages=159-164&rft_id=info:doi/10.1109/SEDST.2015.7315200&rft.eisbn=9781479977369&rft.eisbn_list=1479977365&rft_dat=%3Cieee_6IE%3E7315200%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i208t-dd1fbcec3f48261fe3745b197c57490742f797dcb0c07df20cd9efefed0f87a53%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=7315200&rfr_iscdi=true |