Three-Phase Distortion Analysis based on Space-Vector Locus Diagrams

Author:

Bellan Diego1

Affiliation:

1. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, ITALY

Abstract

This work deals with the use of the space vector concept to characterize the harmonic content of a three-phase voltage/current. It is shown that the shape of the trajectory of the space vector on the complex plane (i.e., the locus diagram) provides information about its harmonic content. In particular, it is shown that each harmonic contributes to the locus diagram with a number of lobes depending on the relative angular frequency between the harmonic and the fundamental component. To this aim, the different contributions of positive-sequence and negative-sequence harmonics is explained and put into evidence with specific examples. The expressions for the magnitude and phase of the space vector as functions of the harmonics are derived analytically. Numerical examples are provided to show how the locus diagram can represent a three-phase quantity with positive-sequence and negative-sequence harmonics.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Reference30 articles.

1. R. C. Dugan, S. Santoso,M. F.McGranaghan, and H.Wayne Beaty, Electrical Power Systems Quality, vol. 2. New York, NY, USA: Mcgraw-Hill, 1996.

2. M. H. Bollen, Understanding Power Quality Problems: Voltage Sags and Interruptions. New York, NY, USA: Wiley-IEEE, 2000.

3. IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std 1159-2009 (Revision of IEEE Std 1159-1995), Jun. 2009.

4. P. Wei, Y. Xu, Y. Wu, and C. Li, "Research on the classification of voltage sag sources based on recorded events," CIRED-Open Access Proc. J., vol. 2017, no. 1, pp. 846-850, 2017.

5. H. Liao, J. V. Milanovic, M. Rodrigues, and A. Shenfield, "Voltage sag estimation in sparsely monitored power systems based on deep learning and system area mapping," IEEE Trans. Power Del., vol. 33, no. 6, pp. 3162-3172, Dec. 2018.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3