Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method

The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected syst...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2022-02
Hauptverfasser: Sun, Yinfeng, Xia, Dapeng, Gao, Zichun, Wang, Zhenhao, Li, Guoqing, Lu, Weihua, Wu, Xueguang, Yang, Li
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Sun, Yinfeng
Xia, Dapeng
Gao, Zichun
Wang, Zhenhao
Li, Guoqing
Lu, Weihua
Wu, Xueguang
Yang, Li
description The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/DC flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample, the cumulants of the load and photovoltaic output are obtained; then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence.
doi_str_mv 10.48550/arxiv.2201.12571
format Article
fullrecord <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2201_12571</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2624487370</sourcerecordid><originalsourceid>FETCH-LOGICAL-a520-65e7a3f80e5a7923235e9259d2fd0443cdb4064cf740eb10762d005107cd091c3</originalsourceid><addsrcrecordid>eNotj11LwzAUhoMgOOZ-gFcGvO48OUma9nLUTxgouPuSJinLaJeZtOr-vXXz6rxwHl7eh5AbBktRSAn3Ov74ryUisCVDqdgFmSHnLCsE4hVZpLQDAMwVSsln5OM9hkY3vvNp8IZ2QVvaduGbGt2ZsdODD3saWrqq7h8quj020VuajmlwPW10cpZOfzP2E7ofaO-GbbDX5LLVXXKL_zsnm6fHTfWSrd-eX6vVOtMSIculU5q3BTipVYkcuXQlytJia0EIbmwjIBemVQJcw0DlaAHkFIyFkhk-J7fn2pNxfYi-1_FY_5nXJ_OJuDsThxg-R5eGehfGuJ821ZijEIXiCvgv6c9aWw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624487370</pqid></control><display><type>article</type><title>Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Sun, Yinfeng ; Xia, Dapeng ; Gao, Zichun ; Wang, Zhenhao ; Li, Guoqing ; Lu, Weihua ; Wu, Xueguang ; Yang, Li</creator><creatorcontrib>Sun, Yinfeng ; Xia, Dapeng ; Gao, Zichun ; Wang, Zhenhao ; Li, Guoqing ; Lu, Weihua ; Wu, Xueguang ; Yang, Li</creatorcontrib><description>The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/DC flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample, the cumulants of the load and photovoltaic output are obtained; then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2201.12571</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Computer Science - Systems and Control ; Converters ; Correlation coefficients ; Direct current ; Distribution functions ; Electric power systems ; Electric power transmission ; Hybrid systems ; Iterative methods ; Mathematics - Probability ; Power flow ; Probability density functions ; Series expansion ; Statistical analysis</subject><ispartof>arXiv.org, 2022-02</ispartof><rights>2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,784,885,27925</link.rule.ids><backlink>$$Uhttps://doi.org/10.1016/j.ijepes.2022.107998$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.2201.12571$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Yinfeng</creatorcontrib><creatorcontrib>Xia, Dapeng</creatorcontrib><creatorcontrib>Gao, Zichun</creatorcontrib><creatorcontrib>Wang, Zhenhao</creatorcontrib><creatorcontrib>Li, Guoqing</creatorcontrib><creatorcontrib>Lu, Weihua</creatorcontrib><creatorcontrib>Wu, Xueguang</creatorcontrib><creatorcontrib>Yang, Li</creatorcontrib><title>Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method</title><title>arXiv.org</title><description>The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/DC flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample, the cumulants of the load and photovoltaic output are obtained; then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence.</description><subject>Algorithms</subject><subject>Computer Science - Systems and Control</subject><subject>Converters</subject><subject>Correlation coefficients</subject><subject>Direct current</subject><subject>Distribution functions</subject><subject>Electric power systems</subject><subject>Electric power transmission</subject><subject>Hybrid systems</subject><subject>Iterative methods</subject><subject>Mathematics - Probability</subject><subject>Power flow</subject><subject>Probability density functions</subject><subject>Series expansion</subject><subject>Statistical analysis</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotj11LwzAUhoMgOOZ-gFcGvO48OUma9nLUTxgouPuSJinLaJeZtOr-vXXz6rxwHl7eh5AbBktRSAn3Ov74ryUisCVDqdgFmSHnLCsE4hVZpLQDAMwVSsln5OM9hkY3vvNp8IZ2QVvaduGbGt2ZsdODD3saWrqq7h8quj020VuajmlwPW10cpZOfzP2E7ofaO-GbbDX5LLVXXKL_zsnm6fHTfWSrd-eX6vVOtMSIculU5q3BTipVYkcuXQlytJia0EIbmwjIBemVQJcw0DlaAHkFIyFkhk-J7fn2pNxfYi-1_FY_5nXJ_OJuDsThxg-R5eGehfGuJ821ZijEIXiCvgv6c9aWw</recordid><startdate>20220216</startdate><enddate>20220216</enddate><creator>Sun, Yinfeng</creator><creator>Xia, Dapeng</creator><creator>Gao, Zichun</creator><creator>Wang, Zhenhao</creator><creator>Li, Guoqing</creator><creator>Lu, Weihua</creator><creator>Wu, Xueguang</creator><creator>Yang, Li</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20220216</creationdate><title>Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method</title><author>Sun, Yinfeng ; Xia, Dapeng ; Gao, Zichun ; Wang, Zhenhao ; Li, Guoqing ; Lu, Weihua ; Wu, Xueguang ; Yang, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a520-65e7a3f80e5a7923235e9259d2fd0443cdb4064cf740eb10762d005107cd091c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Computer Science - Systems and Control</topic><topic>Converters</topic><topic>Correlation coefficients</topic><topic>Direct current</topic><topic>Distribution functions</topic><topic>Electric power systems</topic><topic>Electric power transmission</topic><topic>Hybrid systems</topic><topic>Iterative methods</topic><topic>Mathematics - Probability</topic><topic>Power flow</topic><topic>Probability density functions</topic><topic>Series expansion</topic><topic>Statistical analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Sun, Yinfeng</creatorcontrib><creatorcontrib>Xia, Dapeng</creatorcontrib><creatorcontrib>Gao, Zichun</creatorcontrib><creatorcontrib>Wang, Zhenhao</creatorcontrib><creatorcontrib>Li, Guoqing</creatorcontrib><creatorcontrib>Lu, Weihua</creatorcontrib><creatorcontrib>Wu, Xueguang</creatorcontrib><creatorcontrib>Yang, Li</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Yinfeng</au><au>Xia, Dapeng</au><au>Gao, Zichun</au><au>Wang, Zhenhao</au><au>Li, Guoqing</au><au>Lu, Weihua</au><au>Wu, Xueguang</au><au>Yang, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method</atitle><jtitle>arXiv.org</jtitle><date>2022-02-16</date><risdate>2022</risdate><eissn>2331-8422</eissn><abstract>The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/DC flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample, the cumulants of the load and photovoltaic output are obtained; then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2201.12571</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2022-02
issn 2331-8422
language eng
recordid cdi_arxiv_primary_2201_12571
source arXiv.org; Free E- Journals
subjects Algorithms
Computer Science - Systems and Control
Converters
Correlation coefficients
Direct current
Distribution functions
Electric power systems
Electric power transmission
Hybrid systems
Iterative methods
Mathematics - Probability
Power flow
Probability density functions
Series expansion
Statistical analysis
title Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T14%3A55%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_arxiv&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Probabilistic%20load%20flow%20calculation%20of%20AC/DC%20hybrid%20system%20based%20on%20cumulant%20method&rft.jtitle=arXiv.org&rft.au=Sun,%20Yinfeng&rft.date=2022-02-16&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.2201.12571&rft_dat=%3Cproquest_arxiv%3E2624487370%3C/proquest_arxiv%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2624487370&rft_id=info:pmid/&rfr_iscdi=true