基于电能质量监测数据的电压暂降敏感负荷识别
TM714; 为了解决现有方法无法适用于已投运负荷或需要已知敏感负荷类型等问题,提出一种基于电能质量监测数据的敏感负荷识别方法,以有功功率有效值监测数据为切入点,采用Hodrick-Prescott滤波、滑动均值分段进行电压暂降事件时段划分;利用电压暂降事件前、后的电能质量监测数据变化量构建待处理稳态数据集,通过动态聚类来有效划分各次电压暂降事件;对各暂降事件集进行边界拟合,得到多个拟合拐点,并与预设拐点行比较,完成对用户所含敏感负荷的类型识别.通过MATLAB/Simulink仿真算例和实际敏感用户电能质量监测数据对所提方法进行验证,结果表明所提方法可准确识别交流接触器、变频调速系统、可编程...
Saved in:
| Published in | 电力自动化设备 Vol. 45; no. 2; pp. 176 - 184 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
福州大学 电气工程与自动化学院,福建 福州 350108%国网福建省电力有限公司电力科学研究院,福建 福州 350007
01.02.2025
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1006-6047 |
| DOI | 10.16081/j.epae.202411008 |
Cover
| Abstract | TM714; 为了解决现有方法无法适用于已投运负荷或需要已知敏感负荷类型等问题,提出一种基于电能质量监测数据的敏感负荷识别方法,以有功功率有效值监测数据为切入点,采用Hodrick-Prescott滤波、滑动均值分段进行电压暂降事件时段划分;利用电压暂降事件前、后的电能质量监测数据变化量构建待处理稳态数据集,通过动态聚类来有效划分各次电压暂降事件;对各暂降事件集进行边界拟合,得到多个拟合拐点,并与预设拐点行比较,完成对用户所含敏感负荷的类型识别.通过MATLAB/Simulink仿真算例和实际敏感用户电能质量监测数据对所提方法进行验证,结果表明所提方法可准确识别交流接触器、变频调速系统、可编程逻辑控制器、个人计算机这4种典型敏感负荷,能有效利用稳态电能质量监测数据与电压暂降事件数据进行综合分析,具有成本低、可实施性强的优点. |
|---|---|
| AbstractList | TM714; 为了解决现有方法无法适用于已投运负荷或需要已知敏感负荷类型等问题,提出一种基于电能质量监测数据的敏感负荷识别方法,以有功功率有效值监测数据为切入点,采用Hodrick-Prescott滤波、滑动均值分段进行电压暂降事件时段划分;利用电压暂降事件前、后的电能质量监测数据变化量构建待处理稳态数据集,通过动态聚类来有效划分各次电压暂降事件;对各暂降事件集进行边界拟合,得到多个拟合拐点,并与预设拐点行比较,完成对用户所含敏感负荷的类型识别.通过MATLAB/Simulink仿真算例和实际敏感用户电能质量监测数据对所提方法进行验证,结果表明所提方法可准确识别交流接触器、变频调速系统、可编程逻辑控制器、个人计算机这4种典型敏感负荷,能有效利用稳态电能质量监测数据与电压暂降事件数据进行综合分析,具有成本低、可实施性强的优点. |
| Abstract_FL | In order to address issues such as the existing methods are not applicable to operational loads or require knowledge of sensitive load types,a sensitive load identification method based on power quality monitoring data is proposed.Taking the monitoring data of active power root-mean-square value as the en-try point,the Hodrick-Prescott filtering and sliding mean segmentation are used to divide the period of tran-sient voltage sag events.The steady-state dataset is constructed based on the variation of power quality monitoring data before and after the transient voltage sag events,and dynamic clustering is used to effec-tively divide various transient voltage sag events.Finally,the voltage tolerance curves of each action area are fitted and compared with the preset curves to complete the type of identification of the sensitive load contained by the user.Through MATLAB/Simulink simulation examples and actual sensitive user power quality monitoring data,it is proved that the proposed method can accurately identify four typical sensitive loads such as AC contactor,adjustable speed drive,programable logic controller and personal computer,and can effectively use steady-state power quality monitoring data and voltage sag event data for comprehensive analysis,which has the advantages of low cost and strong implementation. |
| Author | 张良羽 陈锦涛 张逸 陈敏 姚文旭 |
| AuthorAffiliation | 福州大学 电气工程与自动化学院,福建 福州 350108%国网福建省电力有限公司电力科学研究院,福建 福州 350007 |
| AuthorAffiliation_xml | – name: 福州大学 电气工程与自动化学院,福建 福州 350108%国网福建省电力有限公司电力科学研究院,福建 福州 350007 |
| Author_FL | CHEN Min YAO Wenxu ZHANG Liangyu CHEN Jintao ZHANG Yi |
| Author_FL_xml | – sequence: 1 fullname: ZHANG Yi – sequence: 2 fullname: ZHANG Liangyu – sequence: 3 fullname: CHEN Jintao – sequence: 4 fullname: YAO Wenxu – sequence: 5 fullname: CHEN Min |
| Author_xml | – sequence: 1 fullname: 张逸 – sequence: 2 fullname: 张良羽 – sequence: 3 fullname: 陈锦涛 – sequence: 4 fullname: 姚文旭 – sequence: 5 fullname: 陈敏 |
| BookMark | eNrjYmDJy89LZWCQNDTQMzQzsDDUz9JLLUhM1TMyMDIxNDQwsGBh4ARSZrpmBibmHAy8xcWZSQamhsbmJqaGFpwM9k_n73qyq-_5lK0vmve-2LLiZXv_89kTn23tfjZ1w7Pedc9ntQClnvZ1P5vV9HJm77Op_c9a5r_YMv9F7_YX69uedqzmYWBNS8wpTuWF0twMoW6uIc4euj7-7p7Ojj66xYYGxoa6xqnGKalmZsmppsnmQMcYWqQlGpmnWZqbmCSlpJkaGFkmGqcaJaUZGycnmqWYmZmkGBglGiUaJpmnmRoamCaZGXMzaEDMLU_MS0vMS4_Pyi8tygPaGJ-SU5WSUZwE9C_QHAMjQ2MAWNVjMA |
| ClassificationCodes | TM714 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.16081/j.epae.202411008 |
| DatabaseName | 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 |
| DocumentTitle_FL | Voltage sag-sensitive load identification based on power quality monitoring data |
| EndPage | 184 |
| ExternalDocumentID | dlzdhsb202502021 |
| GroupedDBID | 2B. 4A8 92I 93N ADMLS ALMA_UNASSIGNED_HOLDINGS PSX TCJ |
| ID | FETCH-LOGICAL-s1031-3e3de66ce5c700618fa27f9744bdf5029a3e2bf33ca6d664d02a2a1b7f5105b63 |
| ISSN | 1006-6047 |
| IngestDate | Thu May 29 03:54:34 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 2 |
| Keywords | VTC inflection point fitting sensitive load identification 敏感负荷识别 VTC拐点拟合 dynamic K-means cluste-ring 动态K-means聚类 电能质量监测数据 power quality monitoring data 电压暂降 voltage sag |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-s1031-3e3de66ce5c700618fa27f9744bdf5029a3e2bf33ca6d664d02a2a1b7f5105b63 |
| PageCount | 9 |
| ParticipantIDs | wanfang_journals_dlzdhsb202502021 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-02-01 |
| PublicationDateYYYYMMDD | 2025-02-01 |
| PublicationDate_xml | – month: 02 year: 2025 text: 2025-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | 电力自动化设备 |
| PublicationTitle_FL | Electric Power Automation Equipment |
| PublicationYear | 2025 |
| Publisher | 福州大学 电气工程与自动化学院,福建 福州 350108%国网福建省电力有限公司电力科学研究院,福建 福州 350007 |
| Publisher_xml | – name: 福州大学 电气工程与自动化学院,福建 福州 350108%国网福建省电力有限公司电力科学研究院,福建 福州 350007 |
| SSID | ssib051374518 ssib006563412 ssib023167001 ssib000271330 ssib001129761 ssib036435470 ssib057620044 |
| Score | 2.4694843 |
| Snippet | TM714; 为了解决现有方法无法适用于已投运负荷或需要已知敏感负荷类型等问题,提出一种基于电能质量监测数据的敏感负荷识别方法,以有功功率有效值监测数据为切入点,采... |
| SourceID | wanfang |
| SourceType | Aggregation Database |
| StartPage | 176 |
| Title | 基于电能质量监测数据的电压暂降敏感负荷识别 |
| URI | https://d.wanfangdata.com.cn/periodical/dlzdhsb202502021 |
| Volume | 45 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: Inspec with Full Text issn: 1006-6047 databaseCode: ADMLS dateStart: 20200101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text omitProxy: false ssIdentifier: ssib057620044 providerName: EBSCOhost |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LahRBcAibixdRVHwTwT6F0Xn16yTdu7MEMV5MILcwT3OQFUxyyVGDCiEJAXMwHnIVBPWQIAT8G7PZ_IVVPb27k2SRmEtT211dXY_e7qrpl-M8DIswz8CvdkuaJm5U8NCVWZK4uYfHqkSQMXNCbvo5m5qNns7RubHGVm3X0vJS-ihbGXmu5CJWhTywK56S_Q_LDohCBsBgX0jBwpCey8YkpkS2iVYkjjAVMYk5kQBTEgsiQqJbCOiIKEFiSSDyF22Do4n0ScwQU2gEJCXaQ0C0iKroAMGoRpAifYsMRQESlBLxq-pImWEVYKlqtAIAQXMEVJsIZugArOtu8clWFLKHFTlRyuYg_wA0iWSGVEx0jDkKfOHBVIoZukmUZ2T1iBYjSoCuRFagSSChW0OUShyjKGBGMaMfEE3XqSijGJSYIYMIAJut-teTgPY3XNv-jm0BOVQQRV3IPutADAHQOJus6YChKQCusBU19YXRPSAIY-d_qMdStAKpAP5GJznQ0FkmzzI1icu_eFzDmAFsgL2HY4p95TQBw28TIpFRxmOmSFoWpGeKgK-mAdooxIha3GjXr0nA0WTS9EIl0RgXkcmrXjy2cy9-3GJedQFrf3Ku7hq1g1BQm2l9zmpOm1-9M3jGH2Dg8RqHANDwUlzwV_E2q6HzM9iSmr9ayRcWU-wjEEHh1RTjATgKXsMZV63pZy_qS_V-WF-KBo-Z1w6HQ4AURsOYIcCrJvp7O-B3CCEAjYaTJPVDHtGhg0ixUc88Qj1QiN2NgcI8Pi2KOWzYKZPOy5pfPHPFuWwD2glVjU5XnbGVhWvOk8Pdgz8HG0ef9nvvfvf2vh5_2Dz6stXdX-tu_-yufz_aWYWiw4217s7b48_r3e3N7upub2-3t_6r9-P94cdv153ZdjzTnHLtUy3uIr4T4-KQXzCWFTTjGBWJMgl4KXkUpXkJCpVJWARpGYZZwnLGotwLkiDxU15igJey8IbT6LzuFDedCQZFCQ95Sss04plIuChoGgSJFELSpLzlPLACz9uheHH-tPFunwPnjnNpOCDcdRpLb5aLexBgLKX3rcn_Av7d0Bw |
| linkProvider | EBSCOhost |
| 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%E7%94%B5%E8%83%BD%E8%B4%A8%E9%87%8F%E7%9B%91%E6%B5%8B%E6%95%B0%E6%8D%AE%E7%9A%84%E7%94%B5%E5%8E%8B%E6%9A%82%E9%99%8D%E6%95%8F%E6%84%9F%E8%B4%9F%E8%8D%B7%E8%AF%86%E5%88%AB&rft.jtitle=%E7%94%B5%E5%8A%9B%E8%87%AA%E5%8A%A8%E5%8C%96%E8%AE%BE%E5%A4%87&rft.au=%E5%BC%A0%E9%80%B8&rft.au=%E5%BC%A0%E8%89%AF%E7%BE%BD&rft.au=%E9%99%88%E9%94%A6%E6%B6%9B&rft.au=%E5%A7%9A%E6%96%87%E6%97%AD&rft.date=2025-02-01&rft.pub=%E7%A6%8F%E5%B7%9E%E5%A4%A7%E5%AD%A6+%E7%94%B5%E6%B0%94%E5%B7%A5%E7%A8%8B%E4%B8%8E%E8%87%AA%E5%8A%A8%E5%8C%96%E5%AD%A6%E9%99%A2%2C%E7%A6%8F%E5%BB%BA+%E7%A6%8F%E5%B7%9E+350108%25%E5%9B%BD%E7%BD%91%E7%A6%8F%E5%BB%BA%E7%9C%81%E7%94%B5%E5%8A%9B%E6%9C%89%E9%99%90%E5%85%AC%E5%8F%B8%E7%94%B5%E5%8A%9B%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E9%99%A2%2C%E7%A6%8F%E5%BB%BA+%E7%A6%8F%E5%B7%9E+350007&rft.issn=1006-6047&rft.volume=45&rft.issue=2&rft.spage=176&rft.epage=184&rft_id=info:doi/10.16081%2Fj.epae.202411008&rft.externalDocID=dlzdhsb202502021 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fdlzdhsb%2Fdlzdhsb.jpg |