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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...
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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 |
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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. 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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> |
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ispartof | 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2013, p.139-144 |
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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 |
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