• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于支持向量机和模糊控制的输电线路覆冰状态评估模型
Transmission Line Icing Condition Assessment based on SVM and Fuzzy Expert System
Received:June 30, 2015  Revised:September 23, 2015
DOI:
中文关键词: 输电线路  覆冰评估  支持向量机  模糊控制
英文关键词: transmission line, icing assessment, support vevtor machine, fuzzy expert system
基金项目:国家自然科学基金(61202369);上海市自然科学基金(14ZR1417400);上海市科技创新行动计划地方院校能力建设项目(13160500900);上海市教育委员会科研创新项目(13YZ102)
Author NameAffiliationE-mail
YU Kun* Electronic and Information Engineering College,Shanghai University Of Electric Power 410086639@qq.com 
Yang Junjie Electronic and Information Engineering College,Shanghai University Of Electric Power  
Lou Zhibin Shanghai Academy of Science and Technology  
Wei Chunjuan Electronic and Information Engineering College,Shanghai University Of Electric Power  
Hits: 2060
Download times: 709
中文摘要:
      输电线路覆冰严重威胁着电力系统的安全运行,为提高输电线路覆冰状态评估准确率,以输电线路覆冰监测系统为基础,综合考虑监测系统的等效覆冰厚度、微气象参数以及覆冰持续时间等,提出基于支持向量机和模糊控制的输电线路覆冰状态评估模型。支持向量机实现覆冰状态的初步分类,输出无覆冰状态和有覆冰状态,针对有覆冰的状态进一步通过模糊控制评估模型对覆冰的严重程度作出准确评估,输出线路覆冰综合评估结果。实验数据验证了评估模型的准确性和可行性。
英文摘要:
      Transmission line icing makes serious threats to the safe operation of the power system, to improve the transmission line icing condition assessment accuracy rate, based on transmission line online monitoring system, considering equivalent ice thickness, micro-meteorological parameters and icing duration, transmission line icing condition assessment methods based on support vector machine(svm) and fuzzy expert system is proposed. Support vevtor machine achieved preliminary assessment of the icing status and output lines icing status to determine whether the type of icing exist. Further to make an accurate assessment of the severity of icing using the fuzzy expert system for there is icing and output integrated assessment results of lines icing. Monitoring data of field verified the accuracy and feasibility of the method.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd