A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities

This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on sustainable energy 2022-01, Vol.13 (1), p.479-490
Hauptverfasser: Paduani, Victor Daldegan, Yu, Hui, Xu, Bei, Lu, Ning
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 490
container_issue 1
container_start_page 479
container_title IEEE transactions on sustainable energy
container_volume 13
creator Paduani, Victor Daldegan
Yu, Hui
Xu, Bei
Lu, Ning
description This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.
doi_str_mv 10.1109/TSTE.2021.3117688
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_osti_scitechconnect_1980593</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9560073</ieee_id><sourcerecordid>2612469907</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-a4b31e6bb801d7d68defaaf391dcd6e1721d03d6b4fc5c78d605443fab820e4b3</originalsourceid><addsrcrecordid>eNo9kVFLwzAUhYsoKOoPEF-CPncmTZc2j2M4FQaK2_QxpMntjG5JTTJlP8D_bUrF-3Iv3O8cDpwsuyB4RAjmN8vF8nZU4IKMKCEVq-uD7ITwkucU0-rw_y74cXYewjtOQyllFJ9kPxO0sqY1oNGT-wafLyB2ztiIll6qD2PXaLJZO2_i2xa1zqNVNBsT9_lCyQ2gpxe02IcI24BeEzJ4oGcI4L8gIGk1mskQ0czD5w6s2ve_ztkAaCo72fReBsJZdtTKTYDzv32arWa3y-l9Pn-8e5hO5rlKaWMuy4YSYE1TY6IrzWoNrZQt5UQrzYBUBdGYataUrRqrqtYMj8uStrKpCwxJfJpdDb4uRCOCMhHUm3LWgoqC8BqPOU3Q9QB13qXQIYp3t_M25RIFI0XJOMdVoshAKe9C8NCKzput9HtBsOhbEX0rom9F_LWSNJeDxgDAP8_HDCdD-guj-4n1</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2612469907</pqid></control><display><type>article</type><title>A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities</title><source>IEEE Electronic Library (IEL)</source><creator>Paduani, Victor Daldegan ; Yu, Hui ; Xu, Bei ; Lu, Ning</creator><creatorcontrib>Paduani, Victor Daldegan ; Yu, Hui ; Xu, Bei ; Lu, Ning ; North Carolina State University, Raleigh, NC (United States)</creatorcontrib><description>This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.</description><identifier>ISSN: 1949-3029</identifier><identifier>EISSN: 1949-3037</identifier><identifier>DOI: 10.1109/TSTE.2021.3117688</identifier><identifier>CODEN: ITSEAJ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptive algorithms ; Algorithms ; Current measurement ; Curve fitting ; Energy &amp; Fuels ; Engineering ; fast frequency response ; FPPT ; Frequency dependence ; Frequency response ; Inverter control ; Irradiance ; Mathematical models ; Maximum power tracking ; MPPE ; Photovoltaic cells ; Photovoltaics ; power curtailment ; power regulation ; power reserves ; PV system ; Real-time systems ; Reserves ; Science &amp; Technology - Other Topics ; Steady-state ; Temperature measurement ; Tracking control ; Voltage measurement</subject><ispartof>IEEE transactions on sustainable energy, 2022-01, Vol.13 (1), p.479-490</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-a4b31e6bb801d7d68defaaf391dcd6e1721d03d6b4fc5c78d605443fab820e4b3</citedby><cites>FETCH-LOGICAL-c363t-a4b31e6bb801d7d68defaaf391dcd6e1721d03d6b4fc5c78d605443fab820e4b3</cites><orcidid>0000-0002-1812-1885 ; 0000-0002-3059-6891 ; 0000-0003-0125-0653 ; 0000000218121885 ; 0000000230596891 ; 0000000301250653</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9560073$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,315,782,786,798,887,27931,27932,54765</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9560073$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.osti.gov/biblio/1980593$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Paduani, Victor Daldegan</creatorcontrib><creatorcontrib>Yu, Hui</creatorcontrib><creatorcontrib>Xu, Bei</creatorcontrib><creatorcontrib>Lu, Ning</creatorcontrib><creatorcontrib>North Carolina State University, Raleigh, NC (United States)</creatorcontrib><title>A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities</title><title>IEEE transactions on sustainable energy</title><addtitle>TSTE</addtitle><description>This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.</description><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Current measurement</subject><subject>Curve fitting</subject><subject>Energy &amp; Fuels</subject><subject>Engineering</subject><subject>fast frequency response</subject><subject>FPPT</subject><subject>Frequency dependence</subject><subject>Frequency response</subject><subject>Inverter control</subject><subject>Irradiance</subject><subject>Mathematical models</subject><subject>Maximum power tracking</subject><subject>MPPE</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>power curtailment</subject><subject>power regulation</subject><subject>power reserves</subject><subject>PV system</subject><subject>Real-time systems</subject><subject>Reserves</subject><subject>Science &amp; Technology - Other Topics</subject><subject>Steady-state</subject><subject>Temperature measurement</subject><subject>Tracking control</subject><subject>Voltage measurement</subject><issn>1949-3029</issn><issn>1949-3037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kVFLwzAUhYsoKOoPEF-CPncmTZc2j2M4FQaK2_QxpMntjG5JTTJlP8D_bUrF-3Iv3O8cDpwsuyB4RAjmN8vF8nZU4IKMKCEVq-uD7ITwkucU0-rw_y74cXYewjtOQyllFJ9kPxO0sqY1oNGT-wafLyB2ztiIll6qD2PXaLJZO2_i2xa1zqNVNBsT9_lCyQ2gpxe02IcI24BeEzJ4oGcI4L8gIGk1mskQ0czD5w6s2ve_ztkAaCo72fReBsJZdtTKTYDzv32arWa3y-l9Pn-8e5hO5rlKaWMuy4YSYE1TY6IrzWoNrZQt5UQrzYBUBdGYataUrRqrqtYMj8uStrKpCwxJfJpdDb4uRCOCMhHUm3LWgoqC8BqPOU3Q9QB13qXQIYp3t_M25RIFI0XJOMdVoshAKe9C8NCKzput9HtBsOhbEX0rom9F_LWSNJeDxgDAP8_HDCdD-guj-4n1</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Paduani, Victor Daldegan</creator><creator>Yu, Hui</creator><creator>Xu, Bei</creator><creator>Lu, Ning</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>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-1812-1885</orcidid><orcidid>https://orcid.org/0000-0002-3059-6891</orcidid><orcidid>https://orcid.org/0000-0003-0125-0653</orcidid><orcidid>https://orcid.org/0000000218121885</orcidid><orcidid>https://orcid.org/0000000230596891</orcidid><orcidid>https://orcid.org/0000000301250653</orcidid></search><sort><creationdate>202201</creationdate><title>A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities</title><author>Paduani, Victor Daldegan ; Yu, Hui ; Xu, Bei ; Lu, Ning</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-a4b31e6bb801d7d68defaaf391dcd6e1721d03d6b4fc5c78d605443fab820e4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptive algorithms</topic><topic>Algorithms</topic><topic>Current measurement</topic><topic>Curve fitting</topic><topic>Energy &amp; Fuels</topic><topic>Engineering</topic><topic>fast frequency response</topic><topic>FPPT</topic><topic>Frequency dependence</topic><topic>Frequency response</topic><topic>Inverter control</topic><topic>Irradiance</topic><topic>Mathematical models</topic><topic>Maximum power tracking</topic><topic>MPPE</topic><topic>Photovoltaic cells</topic><topic>Photovoltaics</topic><topic>power curtailment</topic><topic>power regulation</topic><topic>power reserves</topic><topic>PV system</topic><topic>Real-time systems</topic><topic>Reserves</topic><topic>Science &amp; Technology - Other Topics</topic><topic>Steady-state</topic><topic>Temperature measurement</topic><topic>Tracking control</topic><topic>Voltage measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paduani, Victor Daldegan</creatorcontrib><creatorcontrib>Yu, Hui</creatorcontrib><creatorcontrib>Xu, Bei</creatorcontrib><creatorcontrib>Lu, Ning</creatorcontrib><creatorcontrib>North Carolina State University, Raleigh, NC (United States)</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 &amp; Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><jtitle>IEEE transactions on sustainable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Paduani, Victor Daldegan</au><au>Yu, Hui</au><au>Xu, Bei</au><au>Lu, Ning</au><aucorp>North Carolina State University, Raleigh, NC (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities</atitle><jtitle>IEEE transactions on sustainable energy</jtitle><stitle>TSTE</stitle><date>2022-01</date><risdate>2022</risdate><volume>13</volume><issue>1</issue><spage>479</spage><epage>490</epage><pages>479-490</pages><issn>1949-3029</issn><eissn>1949-3037</eissn><coden>ITSEAJ</coden><abstract>This paper presents a fast power-setpoint tracking algorithm to enable utility-scale photovoltaic (PV) systems to provide high quality grid services such as power reserves and fast frequency response. The algorithm unites maximum power-point estimation (MPPE) with flexible power-point tracking (FPPT) control to improve the performance of both algorithms, achieving fast and accurate PV power-setpoint tracking even under rapid solar irradiance changes. The MPPE is developed using a real-time, nonlinear curve-fitting approach based on the Levenberg-Marquardt algorithm. A modified adaptive FPPT based on the Perturb and Observe technique is developed for the power-setpoint tracking. By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations. Furthermore, to limit the maximum output power ripple, a new design is introduced for the steady-state voltage step size of the adaptive FPPT. The proposed algorithm is implemented on a testbed consisting of a 500 kVA three-phase, single-stage, utility-scale PV system on the OPAL-RT eMEGASIM platform. Results show that the proposed method outperforms the state-of-the-art.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TSTE.2021.3117688</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1812-1885</orcidid><orcidid>https://orcid.org/0000-0002-3059-6891</orcidid><orcidid>https://orcid.org/0000-0003-0125-0653</orcidid><orcidid>https://orcid.org/0000000218121885</orcidid><orcidid>https://orcid.org/0000000230596891</orcidid><orcidid>https://orcid.org/0000000301250653</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1949-3029
ispartof IEEE transactions on sustainable energy, 2022-01, Vol.13 (1), p.479-490
issn 1949-3029
1949-3037
language eng
recordid cdi_osti_scitechconnect_1980593
source IEEE Electronic Library (IEL)
subjects Adaptive algorithms
Algorithms
Current measurement
Curve fitting
Energy & Fuels
Engineering
fast frequency response
FPPT
Frequency dependence
Frequency response
Inverter control
Irradiance
Mathematical models
Maximum power tracking
MPPE
Photovoltaic cells
Photovoltaics
power curtailment
power regulation
power reserves
PV system
Real-time systems
Reserves
Science & Technology - Other Topics
Steady-state
Temperature measurement
Tracking control
Voltage measurement
title A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems With Power Reserves and Fast Frequency Response Capabilities
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T18%3A26%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Unified%20Power-Setpoint%20Tracking%20Algorithm%20for%20Utility-Scale%20PV%20Systems%20With%20Power%20Reserves%20and%20Fast%20Frequency%20Response%20Capabilities&rft.jtitle=IEEE%20transactions%20on%20sustainable%20energy&rft.au=Paduani,%20Victor%20Daldegan&rft.aucorp=North%20Carolina%20State%20University,%20Raleigh,%20NC%20(United%20States)&rft.date=2022-01&rft.volume=13&rft.issue=1&rft.spage=479&rft.epage=490&rft.pages=479-490&rft.issn=1949-3029&rft.eissn=1949-3037&rft.coden=ITSEAJ&rft_id=info:doi/10.1109/TSTE.2021.3117688&rft_dat=%3Cproquest_RIE%3E2612469907%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2612469907&rft_id=info:pmid/&rft_ieee_id=9560073&rfr_iscdi=true