基于广域测量和抗差最小二乘法的电力系统谐波状态估计
介绍了谐波状态估计数学模型及常用的最小二乘求解算法。针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计。抗差最小二乘法通过等价权将抗差估计原理与最小二乘形式有机结合起来,可有效解决最小二乘法不抗御粗差的问题。利用Matlab搭建了配电网的仿真模型,获得了研究所需的谐波同步测量数据,对测量数据加入含有粗差的正态分布误差,用传统最小二乘法和抗差最小二乘法进行谐波状态估计。计算结果表明了在测量数据含有粗差的情况下,用抗差最小二乘法进行谐波状态估计其结果精度优于最小二乘法。...
Saved in:
Published in | 电力系统保护与控制 Vol. 40; no. 8; pp. 10 - 14 |
---|---|
Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
新能源电力系统国家重点实验室(华北电力大学),河北保定071003
2012
新能源电力系统国家重点实验室(华北电力大学),北京102206%新能源电力系统国家重点实验室(华北电力大学),河北保定,071003%新能源电力系统国家重点实验室(华北电力大学),北京,102206 |
Subjects | |
Online Access | Get full text |
ISSN | 1674-3415 |
DOI | 10.3969/j.issn.1674-3415.2012.08.002 |
Cover
Abstract | 介绍了谐波状态估计数学模型及常用的最小二乘求解算法。针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计。抗差最小二乘法通过等价权将抗差估计原理与最小二乘形式有机结合起来,可有效解决最小二乘法不抗御粗差的问题。利用Matlab搭建了配电网的仿真模型,获得了研究所需的谐波同步测量数据,对测量数据加入含有粗差的正态分布误差,用传统最小二乘法和抗差最小二乘法进行谐波状态估计。计算结果表明了在测量数据含有粗差的情况下,用抗差最小二乘法进行谐波状态估计其结果精度优于最小二乘法。 |
---|---|
AbstractList | TM71; 介绍了谐波状态估计数学模型及常用的最小二乘求解算法.针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计.抗差最小二乘法通过等价权将抗差估计原理与最小二乘形式有机结合起来,可有效解决最小二乘法不抗御粗差的问题.利用Matlab搭建了配电网的仿真模型,获得了研究所需的谐波同步测量数据,对测量数据加入含有粗差的正态分布误差,用传统最小二乘法和抗差最小二乘法进行谐波状态估计.计算结果表明了在测量数据含有粗差的情况下,用抗差最小二乘法进行谐波状态估计其结果精度优于最小二乘法. 介绍了谐波状态估计数学模型及常用的最小二乘求解算法。针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计。抗差最小二乘法通过等价权将抗差估计原理与最小二乘形式有机结合起来,可有效解决最小二乘法不抗御粗差的问题。利用Matlab搭建了配电网的仿真模型,获得了研究所需的谐波同步测量数据,对测量数据加入含有粗差的正态分布误差,用传统最小二乘法和抗差最小二乘法进行谐波状态估计。计算结果表明了在测量数据含有粗差的情况下,用抗差最小二乘法进行谐波状态估计其结果精度优于最小二乘法。 |
Author | 牛胜锁 刘颖 梁志瑞 张建华 苏海锋 |
AuthorAffiliation | 新能源电力系统国家重点实验室(华北电力大学),河北保定071003 新能源电力系统国家重点实验室(华北电力大学),北京102206 |
AuthorAffiliation_xml | – name: 新能源电力系统国家重点实验室(华北电力大学),河北保定071003;新能源电力系统国家重点实验室(华北电力大学),北京102206%新能源电力系统国家重点实验室(华北电力大学),河北保定,071003%新能源电力系统国家重点实验室(华北电力大学),北京,102206 |
Author_FL | ZHANG Jian-hua LIU Ying NIU Sheng-suo SU Hai-feng LIANG Zhi-rui |
Author_FL_xml | – sequence: 1 fullname: NIU Sheng-suo – sequence: 2 fullname: LIU Ying – sequence: 3 fullname: LIANG Zhi-rui – sequence: 4 fullname: ZHANG Jian-hua – sequence: 5 fullname: SU Hai-feng |
Author_xml | – sequence: 1 fullname: 牛胜锁 刘颖 梁志瑞 张建华 苏海锋 |
BookMark | eNo9j81Kw0AAhPdQwVr7EEKvibvZ3XT3KMU_LHjpvWw22ZqiqW0Q8VZBEGqxIoqiQtAHKIFSpa3gy-SnvoWRiqeB4ZsZZgXkvJbnAFBCUMfc5OtN3fV9T0dmmWiYIKobEBk6ZDqERg7k__1lUPR914IQI0pNxvNgLw6m0fQ6nnzFQZCMr74vB_FtP-k9xB_D5KUbh4No2o8mj8noPn26SO_Gce85Hc3SWTAPb5LRW9p7T7rn0Wc4H76ugiUlDn2n-KcFUNvarFV2tOr-9m5lo6pJSg0Nm5IzJpVhC25LiEQZUSKx4whOhDKpxS2uuE0tSSyTWUg5RDomRMrgWdyxcQGUFrWnwlPCa9SbrZOOlw3Wm3b79zhk2e0MW1tg8qDlNdpuBh533CPROasTRChiBsQ_59Z5Dw |
ClassificationCodes | TM71 |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2RA 92L CQIGP W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.3969/j.issn.1674-3415.2012.08.002 |
DatabaseName | 维普_期刊 中文科技期刊数据库-CALIS站点 维普中文期刊数据库 中文科技期刊数据库-工程技术 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
DocumentTitleAlternate | Power system harmonic state estimation based on generalized measurement and robust least squares |
DocumentTitle_FL | Power system harmonic state estimation based on generalized measurement and robust least squares |
EndPage | 14 |
ExternalDocumentID | jdq201208002 41451820 |
GroupedDBID | -03 2RA 5XA 5XD 92L ALMA_UNASSIGNED_HOLDINGS CCEZO CEKLB CQIGP GROUPED_DOAJ U1G W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
ID | FETCH-LOGICAL-c552-36c988cf2da9dc01a7154c3eea94af65b9b9f9d5bc4b68b1fe4ce601f29552ed3 |
ISSN | 1674-3415 |
IngestDate | Thu May 29 03:55:48 EDT 2025 Wed Feb 14 10:47:38 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 8 |
Keywords | 广域测量 谐波状态估计 Huber法 |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c552-36c988cf2da9dc01a7154c3eea94af65b9b9f9d5bc4b68b1fe4ce601f29552ed3 |
Notes | The mathematical model of harmonic state estimation and common least squares algorithm are introduced. As for the shortcoming of least squares that it is less capable of resisting gross error, this paper proposes that the robust least squares is used for harmonic state estimation. Robust least squares that combines robust estimation principle with least squares by equivalent weight, which effectively solves the issue that least squares does not resist gross error. The paper sets up a mathematical model of distribution network by using Matlab, so that receives the synchronous measurement data of harmonic for researching. When normal distribution error of gross error is added to the measurement data, the harmonic state is estimated with least squares and robust least squares. The results show that the harmonic state estimation result's accuracy of robust least squares is higher than that of least squares when the measurement data contains gross error. NIU Sheng-suo, LIU Ying, LIANG Zhi-rui, ZHANG Jian-hua, SU Ha |
PageCount | 5 |
ParticipantIDs | wanfang_journals_jdq201208002 chongqing_primary_41451820 |
PublicationCentury | 2000 |
PublicationDate | 2012 |
PublicationDateYYYYMMDD | 2012-01-01 |
PublicationDate_xml | – year: 2012 text: 2012 |
PublicationDecade | 2010 |
PublicationTitle | 电力系统保护与控制 |
PublicationTitleAlternate | Relay |
PublicationTitle_FL | Power System Protection and Control |
PublicationYear | 2012 |
Publisher | 新能源电力系统国家重点实验室(华北电力大学),河北保定071003 新能源电力系统国家重点实验室(华北电力大学),北京102206%新能源电力系统国家重点实验室(华北电力大学),河北保定,071003%新能源电力系统国家重点实验室(华北电力大学),北京,102206 |
Publisher_xml | – name: 新能源电力系统国家重点实验室(华北电力大学),河北保定071003 – name: 新能源电力系统国家重点实验室(华北电力大学),北京102206%新能源电力系统国家重点实验室(华北电力大学),河北保定,071003%新能源电力系统国家重点实验室(华北电力大学),北京,102206 |
SSID | ssib003155689 ssib017479473 ssib023166999 ssj0002912115 ssib051374514 ssib002424069 ssib036435463 |
Score | 1.9691321 |
Snippet | 介绍了谐波状态估计数学模型及常用的最小二乘求解算法。针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计。抗差最小二乘法通过等价权将抗差估... TM71; 介绍了谐波状态估计数学模型及常用的最小二乘求解算法.针对最小二乘法抗粗差能力较差的缺点,提出利用抗差最小二乘法进行谐波状态估计.抗差最小二乘法通过等价权将抗... |
SourceID | wanfang chongqing |
SourceType | Aggregation Database Publisher |
StartPage | 10 |
SubjectTerms | Huber法 广域测量 谐波状态估计 |
Title | 基于广域测量和抗差最小二乘法的电力系统谐波状态估计 |
URI | http://lib.cqvip.com/qk/90494A/201208/41451820.html https://d.wanfangdata.com.cn/periodical/jdq201208002 |
Volume | 40 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals issn: 1674-3415 databaseCode: DOA dateStart: 20080101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.doaj.org/ omitProxy: true ssIdentifier: ssj0002912115 providerName: Directory of Open Access Journals |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR1daxNB8KgVxBdRVGy10ofuk6Tm7nb3dh7vkitF0acKfQv3lRYf0lbblz5VEIRarIiiqBD0B5RCqdJW8M_kkvovnNk9L0cRrUJYNrMzs_OR3M4ss3uWNcXrGWY--AdM0jSiS7XtWqQyVfMAkoRjvJyktA95776cfcDvzIv5kdFblaqltdV4Oln_7bmS__EqwtCvdEr2HzxbMkUA9tG_2KKHsT2Vj1koGMywwGchp1aFBAmABTPFEH5CyQLBVMBCYJj5KzPkMNWgIeUz8DSVx_yQINCg6geC1DWy4dzQHWCgNEOXgWChxwCHuO5wmgWpiGFAEMQJTCfQYihiCPWC3HdoCJEDqcXAuWw9RYPQEBmF8e1q6Hy6WTjpDs1CNZ9riNKWkdT6WlmFwpRbkloQ0PwQ0SUDoKmAguwhiqYh5YFEhwqxJAAJL_TUnpbTZhBWiVEt3xg10O5Cdk0Up7rnYg9zc-0GWRgCJQq0PkhH5juNFQTBiUqQHcnExvdNratDjjRDEGqNjIM1BE3mqFJA3Wn80urEvIKQjUH9JvMlcwD_sVpUh0Qa0pZeMZP6-rYnt7IgSo_XMNIR1RXTXLBVPBlUZfkrKpRNIGUOB59col2QoJdoYj9dsqciS2faFDYPQ5OyYPRhukIIOr05Y511PMllZf-kiDXpFHdlsaLL9crvmMdICcPc28VQvPoqCGG7HhdFSQGFcQ7Q7YdUAl0Kec6aKjS4_Sf56ZqWxaXOwgoGn_osYKcddRYqYevcRetCkW9O-ubhcckaWV-8bN3Nu4e9wxf5wfe82-3vP__xbDt_tdXffJt_3el_3Mh3t3uHW72Dd_29N4P3Twev9_PND4O9o8FR93j3ZX_v82DzS3_jSe_b7vHOpyvW3Ew415itFW9VqSVCODVXJqBU0nbSCNKkbkceJlGJm2UR8KgtRQwxtCEVccJjqWK7nfEkk3W77QCSZ6l71RrtLHWya9YkLt20e1FHCnqvJ90wzCXG_wpxIy-Nxqzx0g6tZXN5TovTq8Ex7RizJgrDtIon6uNW1cvjfxm_bp2nvtkNvWGNrj5ayyYwP1iNb-rfxU_qi8o3 |
linkProvider | Directory of Open Access Journals |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E5%B9%BF%E5%9F%9F%E6%B5%8B%E9%87%8F%E5%92%8C%E6%8A%97%E5%B7%AE%E6%9C%80%E5%B0%8F%E4%BA%8C%E4%B9%98%E6%B3%95%E7%9A%84%E7%94%B5%E5%8A%9B%E7%B3%BB%E7%BB%9F%E8%B0%90%E6%B3%A2%E7%8A%B6%E6%80%81%E4%BC%B0%E8%AE%A1&rft.jtitle=%E7%94%B5%E5%8A%9B%E7%B3%BB%E7%BB%9F%E4%BF%9D%E6%8A%A4%E4%B8%8E%E6%8E%A7%E5%88%B6&rft.au=%E7%89%9B%E8%83%9C%E9%94%81&rft.au=%E5%88%98%E9%A2%96&rft.au=%E6%A2%81%E5%BF%97%E7%91%9E&rft.au=%E5%BC%A0%E5%BB%BA%E5%8D%8E&rft.date=2012&rft.pub=%E6%96%B0%E8%83%BD%E6%BA%90%E7%94%B5%E5%8A%9B%E7%B3%BB%E7%BB%9F%E5%9B%BD%E5%AE%B6%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%28%E5%8D%8E%E5%8C%97%E7%94%B5%E5%8A%9B%E5%A4%A7%E5%AD%A6%29%2C%E6%B2%B3%E5%8C%97%E4%BF%9D%E5%AE%9A071003&rft.issn=1674-3415&rft.volume=40&rft.issue=8&rft.spage=10&rft.epage=14&rft_id=info:doi/10.3969%2Fj.issn.1674-3415.2012.08.002&rft.externalDocID=jdq201208002 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90494A%2F90494A.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjdq%2Fjdq.jpg |