华南理工大学学报(自然科学版) ›› 2013, Vol. 41 ›› Issue (4): 27-32,46.doi: 10.3969/j.issn.1000-565X.2013.04.005

• 动力与电气工程 • 上一篇    下一篇

基于纵横向拉开档次法的电能质量动态评估

欧阳森 石怡理 刘洋   

  1. 华南理工大学 电力学院,广东 广州 510640
  • 收稿日期:2012-04-24 修回日期:2012-09-18 出版日期:2013-04-25 发布日期:2013-03-01
  • 通信作者: 欧阳森(1974-),男,博士,副研究员,主要从事电能质量及技能技术、智能电器研究. E-mail:ouyangs@scut.edu.cn
  • 作者简介:欧阳森(1974-),男,博士,副研究员,主要从事电能质量及技能技术、智能电器研究.
  • 基金资助:

    国家自然科学基金重点资助项目( 50937001) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2012ZM0018)

Dynamic Evaluation of Power Quality Based on Vertical and Horizontal Scatter Degree Method

Ouyang Sen Shi Yi-li Liu Yang   

  1. School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2012-04-24 Revised:2012-09-18 Online:2013-04-25 Published:2013-03-01
  • Contact: 欧阳森(1974-),男,博士,副研究员,主要从事电能质量及技能技术、智能电器研究. E-mail:ouyangs@scut.edu.cn
  • About author:欧阳森(1974-),男,博士,副研究员,主要从事电能质量及技能技术、智能电器研究.
  • Supported by:

    国家自然科学基金重点资助项目( 50937001) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2012ZM0018)

摘要: 为实现区域电网电能质量的有效评价,提出了一种基于纵横向拉开档次法的动态评价算法,该算法充分利用当前与历史数据,体现了评价对象在一段时期内的总体水平.研究中,首先应用纵横向拉开档次法和序关系分析法确定电能质量指标的综合权重,其中客观权重用于突出评价对象的整体差异,主观权重用于反映专家经验; 线性加权各项指标值得出评价对象在各时刻的电能质量评价值; 最后利用最小方差法对区域电网各时刻的电能质量评价值加权求和,其中时间度的调整体现了对当前与历史数据的重视程度.通过对某供电局的数据分析,验证了该算法的性能.

关键词: 电能质量, 动态评价, 纵横向拉开档次法, 最小方差法

Abstract:

In order to effectively evaluate the power quality of regional power grids,a dynamic evaluation algorithmbased on the vertical and horizontal scatter degree method,which makes full use of the current and historical dataand reflects the overall level of the evaluated objects in a certain period,is proposed.In the investigation,the synthesizedweights of power quality indexes are determined via the vertical and horizontal scatter degree method andthe sequence-relation analysis,in which the objective weights are used to highlight the overall differences of theevaluated objects and the subjective weights are used to reflect the expert experience.Then,by linearly weightingeach index,the evaluation value of power quality in each period is obtained for each evaluated object. Moreover,the least variance method is employed to compute the sum of the evaluated power quality in each period for a regionalnetwork; therein the time degree is adjusted to emphasize the current and the historical data. The performance ofthe proposed algorithm is finally verified by a case study on the power quality of a power supply bureau.

Key words: power quality, dynamic evaluation, vertical and horizontal scatter degree method, least variance method

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