Optimal Allocation of Energy Storage System in DFIG Wind Farms for Frequency Support Considering Wake Effect
Energy storage systems (ESSs) are being utilized to improve wind farms' (WF) frequency support capability due to their high reliability, fast response and the dual role of energy users and suppliers. Nevertheless, the problem of how much capacity should each ESS possesses in order to better ser...
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| Veröffentlicht in: | IEEE transactions on power systems 2022-05, Vol.37 (3), p.2097-2112 |
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| creator | Xiong, Linyun Yang, Shaobo Huang, Sunhua He, Donglin Li, Penghan Khan, Muhammad Waseem Wang, Jie |
| description | Energy storage systems (ESSs) are being utilized to improve wind farms' (WF) frequency support capability due to their high reliability, fast response and the dual role of energy users and suppliers. Nevertheless, the problem of how much capacity should each ESS possesses in order to better serve the WFs has never been investigated. With this perspective, this paper proposes an optimal ESS allocation (OEA) scheme for doubly fed induction generator (DFIG) based WFs to mitigate the impact of wake effect in frequency support. Firstly, the synchronous stability of wind turbines under frequency dips is analyzed with the concept of frequency support margin (FSM), and the detrimental impact of the wake effect is also investigated. Subsequently, the role of ESSs to improve wind turbines' synchronous stability is demonstrated. To make the OEA scheme practical, the wind turbines in a WF are segmented into different clusters based on the received wind speed. Afterwards, the OEA problem is formulated, where the objective is to optimize the coherency of the wind turbine clusters' FSM level. The simulation results show that ESS can provide secondary frequency support under major grid frequency drops, and the proposed OEA scheme can reduce the risk of loss of synchronous stability. |
| doi_str_mv | 10.1109/TPWRS.2021.3111017 |
| format | Article |
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Nevertheless, the problem of how much capacity should each ESS possesses in order to better serve the WFs has never been investigated. With this perspective, this paper proposes an optimal ESS allocation (OEA) scheme for doubly fed induction generator (DFIG) based WFs to mitigate the impact of wake effect in frequency support. Firstly, the synchronous stability of wind turbines under frequency dips is analyzed with the concept of frequency support margin (FSM), and the detrimental impact of the wake effect is also investigated. Subsequently, the role of ESSs to improve wind turbines' synchronous stability is demonstrated. To make the OEA scheme practical, the wind turbines in a WF are segmented into different clusters based on the received wind speed. Afterwards, the OEA problem is formulated, where the objective is to optimize the coherency of the wind turbine clusters' FSM level. The simulation results show that ESS can provide secondary frequency support under major grid frequency drops, and the proposed OEA scheme can reduce the risk of loss of synchronous stability.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2021.3111017</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Clusters ; doubly fed induction generator (DFIG) ; Doubly fed induction generators ; Energy storage ; Energy storage system (ESS) ; Frequency analysis ; Frequency control ; Frequency response ; frequency support ; Induction generators ; Optimization ; Rotors ; Stability analysis ; Storage systems ; synchronous stability ; Time-frequency analysis ; wake effect ; Wind farms ; Wind power ; Wind power generation ; Wind speed ; Wind turbines</subject><ispartof>IEEE transactions on power systems, 2022-05, Vol.37 (3), p.2097-2112</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-7c03c2f1a895c233902aa21c40e589acdad6153be7cde718d18ec0f9d62d62ef3</citedby><cites>FETCH-LOGICAL-c295t-7c03c2f1a895c233902aa21c40e589acdad6153be7cde718d18ec0f9d62d62ef3</cites><orcidid>0000-0001-8524-8256</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9536430$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9536430$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiong, Linyun</creatorcontrib><creatorcontrib>Yang, Shaobo</creatorcontrib><creatorcontrib>Huang, Sunhua</creatorcontrib><creatorcontrib>He, Donglin</creatorcontrib><creatorcontrib>Li, Penghan</creatorcontrib><creatorcontrib>Khan, Muhammad Waseem</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><title>Optimal Allocation of Energy Storage System in DFIG Wind Farms for Frequency Support Considering Wake Effect</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>Energy storage systems (ESSs) are being utilized to improve wind farms' (WF) frequency support capability due to their high reliability, fast response and the dual role of energy users and suppliers. Nevertheless, the problem of how much capacity should each ESS possesses in order to better serve the WFs has never been investigated. With this perspective, this paper proposes an optimal ESS allocation (OEA) scheme for doubly fed induction generator (DFIG) based WFs to mitigate the impact of wake effect in frequency support. Firstly, the synchronous stability of wind turbines under frequency dips is analyzed with the concept of frequency support margin (FSM), and the detrimental impact of the wake effect is also investigated. Subsequently, the role of ESSs to improve wind turbines' synchronous stability is demonstrated. To make the OEA scheme practical, the wind turbines in a WF are segmented into different clusters based on the received wind speed. Afterwards, the OEA problem is formulated, where the objective is to optimize the coherency of the wind turbine clusters' FSM level. The simulation results show that ESS can provide secondary frequency support under major grid frequency drops, and the proposed OEA scheme can reduce the risk of loss of synchronous stability.</description><subject>Clusters</subject><subject>doubly fed induction generator (DFIG)</subject><subject>Doubly fed induction generators</subject><subject>Energy storage</subject><subject>Energy storage system (ESS)</subject><subject>Frequency analysis</subject><subject>Frequency control</subject><subject>Frequency response</subject><subject>frequency support</subject><subject>Induction generators</subject><subject>Optimization</subject><subject>Rotors</subject><subject>Stability analysis</subject><subject>Storage systems</subject><subject>synchronous stability</subject><subject>Time-frequency analysis</subject><subject>wake effect</subject><subject>Wind farms</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind speed</subject><subject>Wind turbines</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PAjEQhhujiYj-Ab008bzYD7q7PRIEJCHBCIZjU7tTsri0a7sc-PcWISaTTDLzvvPxIPRIyYBSIl_W75uP1YARRgecpgotrlCPClFmJC_kNeqRshRZKQW5RXcx7ggheWr0ULNsu3qvGzxqGm90V3uHvcUTB2F7xKvOB70FvDrGDva4dvh1Op_hTe0qPNVhH7H1AU8D_BzAmaQ_tK0PHR57F-sKQu22eKO_AU-sBdPdoxurmwgPl9xHn9PJevyWLZaz-Xi0yAyTossKQ7hhlup0r2GcS8K0ZtQMCYhSalPpKqeCf0FhKihoWdESDLGyylkKsLyPns9z2-DTZbFTO38ILq1ULBesSN9TmlTsrDLBxxjAqjYkFOGoKFEnquqPqjpRVReqyfR0NtUA8G-QgudDTvgvrSl0CA</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Xiong, Linyun</creator><creator>Yang, Shaobo</creator><creator>Huang, Sunhua</creator><creator>He, Donglin</creator><creator>Li, Penghan</creator><creator>Khan, Muhammad Waseem</creator><creator>Wang, Jie</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/0000-0001-8524-8256</orcidid></search><sort><creationdate>202205</creationdate><title>Optimal Allocation of Energy Storage System in DFIG Wind Farms for Frequency Support Considering Wake Effect</title><author>Xiong, Linyun ; Yang, Shaobo ; Huang, Sunhua ; He, Donglin ; Li, Penghan ; Khan, Muhammad Waseem ; Wang, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-7c03c2f1a895c233902aa21c40e589acdad6153be7cde718d18ec0f9d62d62ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Clusters</topic><topic>doubly fed induction generator (DFIG)</topic><topic>Doubly fed induction generators</topic><topic>Energy storage</topic><topic>Energy storage system (ESS)</topic><topic>Frequency analysis</topic><topic>Frequency control</topic><topic>Frequency response</topic><topic>frequency support</topic><topic>Induction generators</topic><topic>Optimization</topic><topic>Rotors</topic><topic>Stability analysis</topic><topic>Storage systems</topic><topic>synchronous stability</topic><topic>Time-frequency analysis</topic><topic>wake effect</topic><topic>Wind farms</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind speed</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiong, Linyun</creatorcontrib><creatorcontrib>Yang, Shaobo</creatorcontrib><creatorcontrib>Huang, Sunhua</creatorcontrib><creatorcontrib>He, Donglin</creatorcontrib><creatorcontrib>Li, Penghan</creatorcontrib><creatorcontrib>Khan, Muhammad Waseem</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</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 power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiong, Linyun</au><au>Yang, Shaobo</au><au>Huang, Sunhua</au><au>He, Donglin</au><au>Li, Penghan</au><au>Khan, Muhammad Waseem</au><au>Wang, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal Allocation of Energy Storage System in DFIG Wind Farms for Frequency Support Considering Wake Effect</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2022-05</date><risdate>2022</risdate><volume>37</volume><issue>3</issue><spage>2097</spage><epage>2112</epage><pages>2097-2112</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>Energy storage systems (ESSs) are being utilized to improve wind farms' (WF) frequency support capability due to their high reliability, fast response and the dual role of energy users and suppliers. Nevertheless, the problem of how much capacity should each ESS possesses in order to better serve the WFs has never been investigated. With this perspective, this paper proposes an optimal ESS allocation (OEA) scheme for doubly fed induction generator (DFIG) based WFs to mitigate the impact of wake effect in frequency support. Firstly, the synchronous stability of wind turbines under frequency dips is analyzed with the concept of frequency support margin (FSM), and the detrimental impact of the wake effect is also investigated. Subsequently, the role of ESSs to improve wind turbines' synchronous stability is demonstrated. To make the OEA scheme practical, the wind turbines in a WF are segmented into different clusters based on the received wind speed. Afterwards, the OEA problem is formulated, where the objective is to optimize the coherency of the wind turbine clusters' FSM level. The simulation results show that ESS can provide secondary frequency support under major grid frequency drops, and the proposed OEA scheme can reduce the risk of loss of synchronous stability.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2021.3111017</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-8524-8256</orcidid></addata></record> |
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| subjects | Clusters doubly fed induction generator (DFIG) Doubly fed induction generators Energy storage Energy storage system (ESS) Frequency analysis Frequency control Frequency response frequency support Induction generators Optimization Rotors Stability analysis Storage systems synchronous stability Time-frequency analysis wake effect Wind farms Wind power Wind power generation Wind speed Wind turbines |
| title | Optimal Allocation of Energy Storage System in DFIG Wind Farms for Frequency Support Considering Wake Effect |
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