Loading…

Randomized response electric vehicles for distributed frequency control in smart grid

Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grid...

Full description

Saved in:
Bibliographic Details
Main Authors: Moghadam, Mohammad R. Vedady, Rui Zhang, Ma, Richard T. B.
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 144
container_issue
container_start_page 139
container_title
container_volume
creator Moghadam, Mohammad R. Vedady
Rui Zhang
Ma, Richard T. B.
description Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.
doi_str_mv 10.1109/SmartGridComm.2013.6687947
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6687947</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6687947</ieee_id><sourcerecordid>6687947</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-a81f30a9326a5fb58dbacde80b54c1ea3c3d98a21231e32a53b33d1583a0840c3</originalsourceid><addsrcrecordid>eNotj01LAzEUReNCUOr8AjfB_dS8vMkkWUrRKhQEteuSSd5oZD5qMhXqr3fEri5cLodzGbsBsQQQ9va1d2lapxhWY98vpQBc1rXRttJnrLDaQKWtBSVrecGKnD-FEKC1Uqq6ZNsXN4Sxjz8UeKK8H4dMnDryU4qef9NH9B1l3o6Jh5jnsjlM87RN9HWgwR-5H4cpjR2PA89_Hvx9Frli563rMhWnXLDtw_3b6rHcPK-fVnebMoJWU-kMtCicRVk71TbKhMb5QEY0qvJADj0Ga5wEiUAoncIGMYAy6ISphMcFu_7nRiLa7VOcDY6703n8BRtEVTA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Randomized response electric vehicles for distributed frequency control in smart grid</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Moghadam, Mohammad R. Vedady ; Rui Zhang ; Ma, Richard T. B.</creator><creatorcontrib>Moghadam, Mohammad R. Vedady ; Rui Zhang ; Ma, Richard T. B.</creatorcontrib><description>Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.</description><identifier>EISBN: 9781479915262</identifier><identifier>EISBN: 1479915262</identifier><identifier>DOI: 10.1109/SmartGridComm.2013.6687947</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Frequency control ; Heuristic algorithms ; Monitoring ; Power system dynamics ; Time-frequency analysis</subject><ispartof>2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2013, p.139-144</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/6687947$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6687947$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Moghadam, Mohammad R. Vedady</creatorcontrib><creatorcontrib>Rui Zhang</creatorcontrib><creatorcontrib>Ma, Richard T. B.</creatorcontrib><title>Randomized response electric vehicles for distributed frequency control in smart grid</title><title>2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)</title><addtitle>SmartGridComm</addtitle><description>Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.</description><subject>Algorithm design and analysis</subject><subject>Frequency control</subject><subject>Heuristic algorithms</subject><subject>Monitoring</subject><subject>Power system dynamics</subject><subject>Time-frequency analysis</subject><isbn>9781479915262</isbn><isbn>1479915262</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj01LAzEUReNCUOr8AjfB_dS8vMkkWUrRKhQEteuSSd5oZD5qMhXqr3fEri5cLodzGbsBsQQQ9va1d2lapxhWY98vpQBc1rXRttJnrLDaQKWtBSVrecGKnD-FEKC1Uqq6ZNsXN4Sxjz8UeKK8H4dMnDryU4qef9NH9B1l3o6Jh5jnsjlM87RN9HWgwR-5H4cpjR2PA89_Hvx9Frli563rMhWnXLDtw_3b6rHcPK-fVnebMoJWU-kMtCicRVk71TbKhMb5QEY0qvJADj0Ga5wEiUAoncIGMYAy6ISphMcFu_7nRiLa7VOcDY6703n8BRtEVTA</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Moghadam, Mohammad R. Vedady</creator><creator>Rui Zhang</creator><creator>Ma, Richard T. B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>Randomized response electric vehicles for distributed frequency control in smart grid</title><author>Moghadam, Mohammad R. Vedady ; Rui Zhang ; Ma, Richard T. B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-a81f30a9326a5fb58dbacde80b54c1ea3c3d98a21231e32a53b33d1583a0840c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithm design and analysis</topic><topic>Frequency control</topic><topic>Heuristic algorithms</topic><topic>Monitoring</topic><topic>Power system dynamics</topic><topic>Time-frequency analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Moghadam, Mohammad R. Vedady</creatorcontrib><creatorcontrib>Rui Zhang</creatorcontrib><creatorcontrib>Ma, Richard T. B.</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</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>Moghadam, Mohammad R. Vedady</au><au>Rui Zhang</au><au>Ma, Richard T. B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Randomized response electric vehicles for distributed frequency control in smart grid</atitle><btitle>2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)</btitle><stitle>SmartGridComm</stitle><date>2013-10</date><risdate>2013</risdate><spage>139</spage><epage>144</epage><pages>139-144</pages><eisbn>9781479915262</eisbn><eisbn>1479915262</eisbn><abstract>Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.</abstract><pub>IEEE</pub><doi>10.1109/SmartGridComm.2013.6687947</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISBN: 9781479915262
ispartof 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2013, p.139-144
issn
language eng
recordid cdi_ieee_primary_6687947
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
Frequency control
Heuristic algorithms
Monitoring
Power system dynamics
Time-frequency analysis
title Randomized response electric vehicles for distributed frequency control in smart grid
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T18%3A54%3A28IST&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=Randomized%20response%20electric%20vehicles%20for%20distributed%20frequency%20control%20in%20smart%20grid&rft.btitle=2013%20IEEE%20International%20Conference%20on%20Smart%20Grid%20Communications%20(SmartGridComm)&rft.au=Moghadam,%20Mohammad%20R.%20Vedady&rft.date=2013-10&rft.spage=139&rft.epage=144&rft.pages=139-144&rft_id=info:doi/10.1109/SmartGridComm.2013.6687947&rft.eisbn=9781479915262&rft.eisbn_list=1479915262&rft_dat=%3Cieee_6IE%3E6687947%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-a81f30a9326a5fb58dbacde80b54c1ea3c3d98a21231e32a53b33d1583a0840c3%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=6687947&rfr_iscdi=true