Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation
As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way to solve this problem. Therefore, this paper...
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description | As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way to solve this problem. Therefore, this paper takes the direct-drive wind power generation system as the research object, draws lessons from the multi-time scale modeling idea, and based on the electrical torque analysis, establishes the DC voltage time model with the wind turbine virtual inertia control. Based on this, inertia damping characteristics of direct-drive wind power grid-connected system are analyzed. The results show that the dynamic characteristic parameters of the system are affected by many factors, among which the equivalent inertia coefficient of the system is mainly affected by DC capacitance, DC bus voltage and wind turbine virtual inertia control parameters. Damping coefficient is mainly affected by steady-state operating point and DC voltage proportional control parameter K_{\mathrm {pu}} . The synchronization coefficient is mainly affected by steady-state operating point and DC voltage integration control parameter K_{\mathrm {iu}} . The correctness of mechanism analysis of inertia damping characteristics of the whole system is verified by simulation, which provides a certain theoretical reference for inertia damping research of electronic power system. |
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The control of wind turbine virtual inertia is an important way to solve this problem. Therefore, this paper takes the direct-drive wind power generation system as the research object, draws lessons from the multi-time scale modeling idea, and based on the electrical torque analysis, establishes the DC voltage time model with the wind turbine virtual inertia control. Based on this, inertia damping characteristics of direct-drive wind power grid-connected system are analyzed. The results show that the dynamic characteristic parameters of the system are affected by many factors, among which the equivalent inertia coefficient of the system is mainly affected by DC capacitance, DC bus voltage and wind turbine virtual inertia control parameters. Damping coefficient is mainly affected by steady-state operating point and DC voltage proportional control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {pu}} </tex-math></inline-formula>. The synchronization coefficient is mainly affected by steady-state operating point and DC voltage integration control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {iu}} </tex-math></inline-formula>. The correctness of mechanism analysis of inertia damping characteristics of the whole system is verified by simulation, which provides a certain theoretical reference for inertia damping research of electronic power system.]]></description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3031720</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Coefficients ; Damping ; Data buses ; Direct-drive wind power ; Dynamic characteristics ; Electric potential ; Electric power grids ; Electric power systems ; Frequency modulation ; Generators ; Inertia ; inertia damping characteristics ; Inverters ; Mathematical models ; multiple-time scale ; Parameters ; power electronics dominated power systems ; Power system dynamics ; Proportional control ; Rotors ; Steady state ; Synchronism ; Turbines ; Turbogenerators ; Voltage ; Voltage control ; Wind power ; Wind power generation ; Wind turbines</subject><ispartof>IEEE access, 2020, Vol.8, p.189802-189810</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-1b7f3b14287a0161eb0a9cc984985be174f990ddb3bb794089c378d4315697103</citedby><cites>FETCH-LOGICAL-c408t-1b7f3b14287a0161eb0a9cc984985be174f990ddb3bb794089c378d4315697103</cites><orcidid>0000-0002-7276-4662</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9226417$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Li, Shengqing</creatorcontrib><creatorcontrib>Jiang, Yu</creatorcontrib><creatorcontrib>Fang, Baling</creatorcontrib><creatorcontrib>Wang, Chenyang</creatorcontrib><title>Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation</title><title>IEEE access</title><addtitle>Access</addtitle><description><![CDATA[As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way to solve this problem. Therefore, this paper takes the direct-drive wind power generation system as the research object, draws lessons from the multi-time scale modeling idea, and based on the electrical torque analysis, establishes the DC voltage time model with the wind turbine virtual inertia control. Based on this, inertia damping characteristics of direct-drive wind power grid-connected system are analyzed. The results show that the dynamic characteristic parameters of the system are affected by many factors, among which the equivalent inertia coefficient of the system is mainly affected by DC capacitance, DC bus voltage and wind turbine virtual inertia control parameters. Damping coefficient is mainly affected by steady-state operating point and DC voltage proportional control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {pu}} </tex-math></inline-formula>. The synchronization coefficient is mainly affected by steady-state operating point and DC voltage integration control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {iu}} </tex-math></inline-formula>. The correctness of mechanism analysis of inertia damping characteristics of the whole system is verified by simulation, which provides a certain theoretical reference for inertia damping research of electronic power system.]]></description><subject>Coefficients</subject><subject>Damping</subject><subject>Data buses</subject><subject>Direct-drive wind power</subject><subject>Dynamic characteristics</subject><subject>Electric potential</subject><subject>Electric power grids</subject><subject>Electric power systems</subject><subject>Frequency modulation</subject><subject>Generators</subject><subject>Inertia</subject><subject>inertia damping characteristics</subject><subject>Inverters</subject><subject>Mathematical models</subject><subject>multiple-time scale</subject><subject>Parameters</subject><subject>power electronics dominated power systems</subject><subject>Power system dynamics</subject><subject>Proportional control</subject><subject>Rotors</subject><subject>Steady state</subject><subject>Synchronism</subject><subject>Turbines</subject><subject>Turbogenerators</subject><subject>Voltage</subject><subject>Voltage control</subject><subject>Wind power</subject><subject>Wind power generation</subject><subject>Wind turbines</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkV9LwzAUxYsoKOon8KXgc2f-tUkeR6dzMFCY4mNIk9uZsTUzqcq-vamVYV4STu75Xe49WXaD0QRjJO-mdX2_Wk0IImhCEcWcoJPsguBKFrSk1em_93l2HeMGpSOSVPKLbFO_66BND8HF3pmYTzu9PUQXc9_miw5C73Q-07u969aDNA_OFrXvOkgem68OsYfd8DFzIUnFLLgvyN9cZ_Nn_w0hn0OC6N757io7a_U2wvXffZm9Pty_1I_F8mm-qKfLwjAk-gI3vKUNZkRwjXCFoUFaGiMFk6JsAHPWSomsbWjTcJks0lAuLKO4rCTHiF5mi5Frvd6ofXA7HQ7Ka6d-BR_WSqexzBaUSGQBqYluKbOlkC0zVnAAwioumzKxbkfWPviPT4i92vjPkFYUFWElY2nXaKiiY5UJPsYA7bErRmrISI0ZqSEj9ZdRct2MLgcAR4ckpGKY0x8xS4wJ</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Li, Shengqing</creator><creator>Jiang, Yu</creator><creator>Fang, Baling</creator><creator>Wang, Chenyang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7276-4662</orcidid></search><sort><creationdate>2020</creationdate><title>Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation</title><author>Li, Shengqing ; Jiang, Yu ; Fang, Baling ; Wang, Chenyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-1b7f3b14287a0161eb0a9cc984985be174f990ddb3bb794089c378d4315697103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Coefficients</topic><topic>Damping</topic><topic>Data buses</topic><topic>Direct-drive wind power</topic><topic>Dynamic characteristics</topic><topic>Electric potential</topic><topic>Electric power grids</topic><topic>Electric power systems</topic><topic>Frequency modulation</topic><topic>Generators</topic><topic>Inertia</topic><topic>inertia damping characteristics</topic><topic>Inverters</topic><topic>Mathematical models</topic><topic>multiple-time scale</topic><topic>Parameters</topic><topic>power electronics dominated power systems</topic><topic>Power system dynamics</topic><topic>Proportional control</topic><topic>Rotors</topic><topic>Steady state</topic><topic>Synchronism</topic><topic>Turbines</topic><topic>Turbogenerators</topic><topic>Voltage</topic><topic>Voltage control</topic><topic>Wind power</topic><topic>Wind power generation</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shengqing</creatorcontrib><creatorcontrib>Jiang, Yu</creatorcontrib><creatorcontrib>Fang, Baling</creatorcontrib><creatorcontrib>Wang, Chenyang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shengqing</au><au>Jiang, Yu</au><au>Fang, Baling</au><au>Wang, Chenyang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>189802</spage><epage>189810</epage><pages>189802-189810</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract><![CDATA[As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way to solve this problem. Therefore, this paper takes the direct-drive wind power generation system as the research object, draws lessons from the multi-time scale modeling idea, and based on the electrical torque analysis, establishes the DC voltage time model with the wind turbine virtual inertia control. Based on this, inertia damping characteristics of direct-drive wind power grid-connected system are analyzed. The results show that the dynamic characteristic parameters of the system are affected by many factors, among which the equivalent inertia coefficient of the system is mainly affected by DC capacitance, DC bus voltage and wind turbine virtual inertia control parameters. Damping coefficient is mainly affected by steady-state operating point and DC voltage proportional control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {pu}} </tex-math></inline-formula>. The synchronization coefficient is mainly affected by steady-state operating point and DC voltage integration control parameter <inline-formula> <tex-math notation="LaTeX">K_{\mathrm {iu}} </tex-math></inline-formula>. The correctness of mechanism analysis of inertia damping characteristics of the whole system is verified by simulation, which provides a certain theoretical reference for inertia damping research of electronic power system.]]></abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3031720</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7276-4662</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Coefficients Damping Data buses Direct-drive wind power Dynamic characteristics Electric potential Electric power grids Electric power systems Frequency modulation Generators Inertia inertia damping characteristics Inverters Mathematical models multiple-time scale Parameters power electronics dominated power systems Power system dynamics Proportional control Rotors Steady state Synchronism Turbines Turbogenerators Voltage Voltage control Wind power Wind power generation Wind turbines |
title | Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation |
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