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Low-voltage Ride-through Response of Renewable-Penetrated Distribution Networks
Low voltage ride-through (LVRT) is a grid code that enables distributed energy resources (DERs) to stay connected under voltage sags. However, a DER is exposed to being tripped if it does not meet the LVRT requirement. For a renewable-penetrated distribution network (RPDN), the lost amount of DER ca...
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creator | Salyani, Pouya Nourollahi, Ramin Zare, Kazem Mohammadi-Ivatloo, Behnam Abapour, Mehdi |
description | Low voltage ride-through (LVRT) is a grid code that enables distributed energy resources (DERs) to stay connected under voltage sags. However, a DER is exposed to being tripped if it does not meet the LVRT requirement. For a renewable-penetrated distribution network (RPDN), the lost amount of DER capacity over a voltage sag is the so-called LVRT response of an RPDN. Besides the behavior of DERs during the transient undervoltage condition, their trip may have a negative impact on transmission system security. This paper addresses a general mathematical model for analyzing the DERs' behavior during the transient condition. The proposed model is implemented to obtain the RPDN's LVRT response to different voltage sags. This LVRT response is defined as such that concerns the uncertainty in the output power of renewable resources. Furthermore, the expected ride-through capability index is introduced to capture the generation availability due to meeting the LVRT requirements. The studied RPDN shows the lowest capability is for voltage sags with depth and duration greater than 0.70 pu and 0.4 sec, respectively. Also, with 40% and 20% reductions in solar and wind generation compared to their nominal values, the maximum LVRT response of the RPDN decreases from 2420 kW to 1852 kW. Also, the ERC of 66% is achieved for the RPDN, stating the expected loss of 34% of the total DER generation. |
doi_str_mv | 10.23919/FRUCT56874.2022.9953844 |
format | conference_proceeding |
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However, a DER is exposed to being tripped if it does not meet the LVRT requirement. For a renewable-penetrated distribution network (RPDN), the lost amount of DER capacity over a voltage sag is the so-called LVRT response of an RPDN. Besides the behavior of DERs during the transient undervoltage condition, their trip may have a negative impact on transmission system security. This paper addresses a general mathematical model for analyzing the DERs' behavior during the transient condition. The proposed model is implemented to obtain the RPDN's LVRT response to different voltage sags. This LVRT response is defined as such that concerns the uncertainty in the output power of renewable resources. Furthermore, the expected ride-through capability index is introduced to capture the generation availability due to meeting the LVRT requirements. The studied RPDN shows the lowest capability is for voltage sags with depth and duration greater than 0.70 pu and 0.4 sec, respectively. Also, with 40% and 20% reductions in solar and wind generation compared to their nominal values, the maximum LVRT response of the RPDN decreases from 2420 kW to 1852 kW. 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However, a DER is exposed to being tripped if it does not meet the LVRT requirement. For a renewable-penetrated distribution network (RPDN), the lost amount of DER capacity over a voltage sag is the so-called LVRT response of an RPDN. Besides the behavior of DERs during the transient undervoltage condition, their trip may have a negative impact on transmission system security. This paper addresses a general mathematical model for analyzing the DERs' behavior during the transient condition. The proposed model is implemented to obtain the RPDN's LVRT response to different voltage sags. This LVRT response is defined as such that concerns the uncertainty in the output power of renewable resources. Furthermore, the expected ride-through capability index is introduced to capture the generation availability due to meeting the LVRT requirements. The studied RPDN shows the lowest capability is for voltage sags with depth and duration greater than 0.70 pu and 0.4 sec, respectively. Also, with 40% and 20% reductions in solar and wind generation compared to their nominal values, the maximum LVRT response of the RPDN decreases from 2420 kW to 1852 kW. Also, the ERC of 66% is achieved for the RPDN, stating the expected loss of 34% of the total DER generation.</description><subject>dae</subject><subject>der</subject><subject>Distribution networks</subject><subject>lvrt</subject><subject>Mathematical models</subject><subject>Power quality</subject><subject>Power system stability</subject><subject>renewable</subject><subject>Renewable energy sources</subject><subject>Uncertainty</subject><subject>uncertainty managemnt</subject><subject>Voltage fluctuations</subject><subject>voltage sag</subject><issn>2305-7254</issn><issn>2305-7254</issn><issn>2343-0737</issn><isbn>9526924487</isbn><isbn>9789526924489</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkM1OAjEYRavRRESewM28wGDn6__SoCgJEUNgPWmnLRSRkk6R-PZOhBhX9-QuTnIvQkWFh0BUpR7G8-VowbgUdAgYYKgUI5LSC3SrGHAFlEpxiXpAMCsFMHr1j2_QoG03GGOQjCslemg2jcfyK26zXrliHqwr8zrFw2pdzF27j7vWFdF3vHNHbbaufO8oJ52dLZ5Cm1Mwhxzirnhz-RjTR3uHrr3etm5wzj5ajp8Xo9dyOnuZjB6npa0qqkpNbSMJNxQq5bFWXICqLEgJXnarTMMcVsZ6zThz3GrSeK8EZoR6RZsGSB9NTl4b9abep_Cp03cddah_i5hWtU45NFtXE0M8CC8MoZRq8MpyjA1zjBNfeYI71_3JFZxzf67zr-QHQBNrhg</recordid><startdate>20221109</startdate><enddate>20221109</enddate><creator>Salyani, Pouya</creator><creator>Nourollahi, Ramin</creator><creator>Zare, Kazem</creator><creator>Mohammadi-Ivatloo, Behnam</creator><creator>Abapour, Mehdi</creator><general>FRUCT Oy</general><general>FRUCT</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>DOA</scope></search><sort><creationdate>20221109</creationdate><title>Low-voltage Ride-through Response of Renewable-Penetrated Distribution Networks</title><author>Salyani, Pouya ; Nourollahi, Ramin ; Zare, Kazem ; Mohammadi-Ivatloo, Behnam ; Abapour, Mehdi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d1149-a4dc836b4219f0a967291d2882f8202bc5e09bdfa565e6da3cff970534f94cc23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>dae</topic><topic>der</topic><topic>Distribution networks</topic><topic>lvrt</topic><topic>Mathematical models</topic><topic>Power quality</topic><topic>Power system stability</topic><topic>renewable</topic><topic>Renewable energy sources</topic><topic>Uncertainty</topic><topic>uncertainty managemnt</topic><topic>Voltage fluctuations</topic><topic>voltage sag</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salyani, Pouya</creatorcontrib><creatorcontrib>Nourollahi, Ramin</creatorcontrib><creatorcontrib>Zare, Kazem</creatorcontrib><creatorcontrib>Mohammadi-Ivatloo, Behnam</creatorcontrib><creatorcontrib>Abapour, Mehdi</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 Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>DOAJ Directory of Open Access Journals</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Salyani, Pouya</au><au>Nourollahi, Ramin</au><au>Zare, Kazem</au><au>Mohammadi-Ivatloo, Behnam</au><au>Abapour, Mehdi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Low-voltage Ride-through Response of Renewable-Penetrated Distribution Networks</atitle><btitle>2022 32nd Conference of Open Innovations Association (FRUCT)</btitle><stitle>FRUCT</stitle><date>2022-11-09</date><risdate>2022</risdate><volume>32</volume><issue>1</issue><spage>255</spage><epage>261</epage><pages>255-261</pages><issn>2305-7254</issn><eissn>2305-7254</eissn><eissn>2343-0737</eissn><eisbn>9526924487</eisbn><eisbn>9789526924489</eisbn><abstract>Low voltage ride-through (LVRT) is a grid code that enables distributed energy resources (DERs) to stay connected under voltage sags. However, a DER is exposed to being tripped if it does not meet the LVRT requirement. For a renewable-penetrated distribution network (RPDN), the lost amount of DER capacity over a voltage sag is the so-called LVRT response of an RPDN. Besides the behavior of DERs during the transient undervoltage condition, their trip may have a negative impact on transmission system security. This paper addresses a general mathematical model for analyzing the DERs' behavior during the transient condition. The proposed model is implemented to obtain the RPDN's LVRT response to different voltage sags. This LVRT response is defined as such that concerns the uncertainty in the output power of renewable resources. Furthermore, the expected ride-through capability index is introduced to capture the generation availability due to meeting the LVRT requirements. The studied RPDN shows the lowest capability is for voltage sags with depth and duration greater than 0.70 pu and 0.4 sec, respectively. Also, with 40% and 20% reductions in solar and wind generation compared to their nominal values, the maximum LVRT response of the RPDN decreases from 2420 kW to 1852 kW. Also, the ERC of 66% is achieved for the RPDN, stating the expected loss of 34% of the total DER generation.</abstract><pub>FRUCT Oy</pub><doi>10.23919/FRUCT56874.2022.9953844</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | dae der Distribution networks lvrt Mathematical models Power quality Power system stability renewable Renewable energy sources Uncertainty uncertainty managemnt Voltage fluctuations voltage sag |
title | Low-voltage Ride-through Response of Renewable-Penetrated Distribution Networks |
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