Loading…
On the Implementation of OPF-Based Setpoints for Active Distribution Networks
In the context of active distribution networks, AC Optimal Power Flow (OPF) has shown great potential to calculate setpoints for controllable devices. Although considerable literature exists, temporal aspects that may affect the actual execution of these setpoints are rarely investigated. Due to the...
Saved in:
Published in: | IEEE transactions on smart grid 2021-07, Vol.12 (4), p.2929-2940 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333 |
---|---|
cites | cdi_FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333 |
container_end_page | 2940 |
container_issue | 4 |
container_start_page | 2929 |
container_title | IEEE transactions on smart grid |
container_volume | 12 |
creator | Liu, Michael Z. Ochoa, Luis F. Low, Steven H. |
description | In the context of active distribution networks, AC Optimal Power Flow (OPF) has shown great potential to calculate setpoints for controllable devices. Although considerable literature exists, temporal aspects that may affect the actual execution of these setpoints are rarely investigated. Due to the diverse operating characteristics of controllable devices (i.e., delays, ramp rates and deadbands), when these setpoints are executed by multiple devices without adequate considerations, the resulting outcome can differ drastically from what is expected; leading to violations of network constraints and excessive control actions. Therefore, this work proposes a series of necessary adaptations within the controllers of existing devices as well as in the OPF formulation to cater for the diversity in operating characteristics, ensuring that calculated setpoints are adequately implemented by controllable devices. This involves the direct control of conventional devices and enforcing a new ramping behavior for inverter-interfaced devices. Furthermore, a linear, mixed-integer formulation is proposed to handle discrete devices and improve scalability in large networks. Co-simulation results (using a U.K. test network with the objective of maximizing renewable energy production and considering 1s time-step) demonstrate that, by catering for the operating characteristics of controllable devices, the expected outcome from OPF-based setpoints can be achieved. |
doi_str_mv | 10.1109/TSG.2021.3054387 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2542499975</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9335984</ieee_id><sourcerecordid>2542499975</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333</originalsourceid><addsrcrecordid>eNo9kEFPAjEQhRujiQS5m3hp4nmx3bZbekQUJEExAc_N7jKNRdiubcH47y1CmMvM4XvvTR5Ct5T0KSXqYbmY9HOS0z4jgrOBvEAdqrjKGCno5fkW7Br1QliTNIyxIlcd9DpvcPwEPN22G9hCE8toXYOdwfP3cfZYBljhBcTW2SYGbJzHwzraPeAnG6K31e4ff4P44_xXuEFXptwE6J12F32Mn5ejl2w2n0xHw1lWp9yYFRw4yLpI71VKFaaoKBAquJBS1cQIwaUUZrUCYwohSG1yAqWipiypJFWy6KL7o2_r3fcOQtRrt_NNitS54DlXSkmRKHKkau9C8GB06-229L-aEn3oTafe9KE3feotSe6OEgsAZ1wxJtSAsz8zgGf-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2542499975</pqid></control><display><type>article</type><title>On the Implementation of OPF-Based Setpoints for Active Distribution Networks</title><source>IEEE Xplore (Online service)</source><creator>Liu, Michael Z. ; Ochoa, Luis F. ; Low, Steven H.</creator><creatorcontrib>Liu, Michael Z. ; Ochoa, Luis F. ; Low, Steven H.</creatorcontrib><description>In the context of active distribution networks, AC Optimal Power Flow (OPF) has shown great potential to calculate setpoints for controllable devices. Although considerable literature exists, temporal aspects that may affect the actual execution of these setpoints are rarely investigated. Due to the diverse operating characteristics of controllable devices (i.e., delays, ramp rates and deadbands), when these setpoints are executed by multiple devices without adequate considerations, the resulting outcome can differ drastically from what is expected; leading to violations of network constraints and excessive control actions. Therefore, this work proposes a series of necessary adaptations within the controllers of existing devices as well as in the OPF formulation to cater for the diversity in operating characteristics, ensuring that calculated setpoints are adequately implemented by controllable devices. This involves the direct control of conventional devices and enforcing a new ramping behavior for inverter-interfaced devices. Furthermore, a linear, mixed-integer formulation is proposed to handle discrete devices and improve scalability in large networks. Co-simulation results (using a U.K. test network with the objective of maximizing renewable energy production and considering 1s time-step) demonstrate that, by catering for the operating characteristics of controllable devices, the expected outcome from OPF-based setpoints can be achieved.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2021.3054387</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Active distribution network ; Australia ; Delays ; distributed generation ; Distribution networks ; Electric potential ; Electric power distribution ; Fluctuations ; implementation ; Load flow ; Mathematical analysis ; Mixed integer ; Networks ; optimal power flow (OPF) ; Optimization ; Power flow ; Stability ; Voltage control</subject><ispartof>IEEE transactions on smart grid, 2021-07, Vol.12 (4), p.2929-2940</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333</citedby><cites>FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333</cites><orcidid>0000-0001-6476-3048 ; 0000-0002-9609-4544 ; 0000-0002-7853-4286</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9335984$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,54774</link.rule.ids></links><search><creatorcontrib>Liu, Michael Z.</creatorcontrib><creatorcontrib>Ochoa, Luis F.</creatorcontrib><creatorcontrib>Low, Steven H.</creatorcontrib><title>On the Implementation of OPF-Based Setpoints for Active Distribution Networks</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>In the context of active distribution networks, AC Optimal Power Flow (OPF) has shown great potential to calculate setpoints for controllable devices. Although considerable literature exists, temporal aspects that may affect the actual execution of these setpoints are rarely investigated. Due to the diverse operating characteristics of controllable devices (i.e., delays, ramp rates and deadbands), when these setpoints are executed by multiple devices without adequate considerations, the resulting outcome can differ drastically from what is expected; leading to violations of network constraints and excessive control actions. Therefore, this work proposes a series of necessary adaptations within the controllers of existing devices as well as in the OPF formulation to cater for the diversity in operating characteristics, ensuring that calculated setpoints are adequately implemented by controllable devices. This involves the direct control of conventional devices and enforcing a new ramping behavior for inverter-interfaced devices. Furthermore, a linear, mixed-integer formulation is proposed to handle discrete devices and improve scalability in large networks. Co-simulation results (using a U.K. test network with the objective of maximizing renewable energy production and considering 1s time-step) demonstrate that, by catering for the operating characteristics of controllable devices, the expected outcome from OPF-based setpoints can be achieved.</description><subject>Active distribution network</subject><subject>Australia</subject><subject>Delays</subject><subject>distributed generation</subject><subject>Distribution networks</subject><subject>Electric potential</subject><subject>Electric power distribution</subject><subject>Fluctuations</subject><subject>implementation</subject><subject>Load flow</subject><subject>Mathematical analysis</subject><subject>Mixed integer</subject><subject>Networks</subject><subject>optimal power flow (OPF)</subject><subject>Optimization</subject><subject>Power flow</subject><subject>Stability</subject><subject>Voltage control</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9kEFPAjEQhRujiQS5m3hp4nmx3bZbekQUJEExAc_N7jKNRdiubcH47y1CmMvM4XvvTR5Ct5T0KSXqYbmY9HOS0z4jgrOBvEAdqrjKGCno5fkW7Br1QliTNIyxIlcd9DpvcPwEPN22G9hCE8toXYOdwfP3cfZYBljhBcTW2SYGbJzHwzraPeAnG6K31e4ff4P44_xXuEFXptwE6J12F32Mn5ejl2w2n0xHw1lWp9yYFRw4yLpI71VKFaaoKBAquJBS1cQIwaUUZrUCYwohSG1yAqWipiypJFWy6KL7o2_r3fcOQtRrt_NNitS54DlXSkmRKHKkau9C8GB06-229L-aEn3oTafe9KE3feotSe6OEgsAZ1wxJtSAsz8zgGf-</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Liu, Michael Z.</creator><creator>Ochoa, Luis F.</creator><creator>Low, Steven H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-6476-3048</orcidid><orcidid>https://orcid.org/0000-0002-9609-4544</orcidid><orcidid>https://orcid.org/0000-0002-7853-4286</orcidid></search><sort><creationdate>20210701</creationdate><title>On the Implementation of OPF-Based Setpoints for Active Distribution Networks</title><author>Liu, Michael Z. ; Ochoa, Luis F. ; Low, Steven H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Active distribution network</topic><topic>Australia</topic><topic>Delays</topic><topic>distributed generation</topic><topic>Distribution networks</topic><topic>Electric potential</topic><topic>Electric power distribution</topic><topic>Fluctuations</topic><topic>implementation</topic><topic>Load flow</topic><topic>Mathematical analysis</topic><topic>Mixed integer</topic><topic>Networks</topic><topic>optimal power flow (OPF)</topic><topic>Optimization</topic><topic>Power flow</topic><topic>Stability</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Michael Z.</creatorcontrib><creatorcontrib>Ochoa, Luis F.</creatorcontrib><creatorcontrib>Low, Steven H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on smart grid</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Michael Z.</au><au>Ochoa, Luis F.</au><au>Low, Steven H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Implementation of OPF-Based Setpoints for Active Distribution Networks</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2021-07-01</date><risdate>2021</risdate><volume>12</volume><issue>4</issue><spage>2929</spage><epage>2940</epage><pages>2929-2940</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>In the context of active distribution networks, AC Optimal Power Flow (OPF) has shown great potential to calculate setpoints for controllable devices. Although considerable literature exists, temporal aspects that may affect the actual execution of these setpoints are rarely investigated. Due to the diverse operating characteristics of controllable devices (i.e., delays, ramp rates and deadbands), when these setpoints are executed by multiple devices without adequate considerations, the resulting outcome can differ drastically from what is expected; leading to violations of network constraints and excessive control actions. Therefore, this work proposes a series of necessary adaptations within the controllers of existing devices as well as in the OPF formulation to cater for the diversity in operating characteristics, ensuring that calculated setpoints are adequately implemented by controllable devices. This involves the direct control of conventional devices and enforcing a new ramping behavior for inverter-interfaced devices. Furthermore, a linear, mixed-integer formulation is proposed to handle discrete devices and improve scalability in large networks. Co-simulation results (using a U.K. test network with the objective of maximizing renewable energy production and considering 1s time-step) demonstrate that, by catering for the operating characteristics of controllable devices, the expected outcome from OPF-based setpoints can be achieved.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TSG.2021.3054387</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6476-3048</orcidid><orcidid>https://orcid.org/0000-0002-9609-4544</orcidid><orcidid>https://orcid.org/0000-0002-7853-4286</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1949-3053 |
ispartof | IEEE transactions on smart grid, 2021-07, Vol.12 (4), p.2929-2940 |
issn | 1949-3053 1949-3061 |
language | eng |
recordid | cdi_proquest_journals_2542499975 |
source | IEEE Xplore (Online service) |
subjects | Active distribution network Australia Delays distributed generation Distribution networks Electric potential Electric power distribution Fluctuations implementation Load flow Mathematical analysis Mixed integer Networks optimal power flow (OPF) Optimization Power flow Stability Voltage control |
title | On the Implementation of OPF-Based Setpoints for Active Distribution Networks |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T11%3A35%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20the%20Implementation%20of%20OPF-Based%20Setpoints%20for%20Active%20Distribution%20Networks&rft.jtitle=IEEE%20transactions%20on%20smart%20grid&rft.au=Liu,%20Michael%20Z.&rft.date=2021-07-01&rft.volume=12&rft.issue=4&rft.spage=2929&rft.epage=2940&rft.pages=2929-2940&rft.issn=1949-3053&rft.eissn=1949-3061&rft.coden=ITSGBQ&rft_id=info:doi/10.1109/TSG.2021.3054387&rft_dat=%3Cproquest_cross%3E2542499975%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c333t-64e4e7c6306b996f6b1e01545779c0f554775fddeff6550cf20ea91faa170b333%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2542499975&rft_id=info:pmid/&rft_ieee_id=9335984&rfr_iscdi=true |