Review of Power System Harmonic Source Location Method Based on State Assessment

Abstract:

Utilizing the harmonic state assessment technology to locate harmonic source is put forward as people attaching importance to harmonic problems. This method has the overall observability, which is suitable for application in the actual system. In this paper, firstly, the conception and mathematical descriptions of harmonic state assessment technology is introduced, then several current harmonic state assessment methods to locate harmonic source are summarized and reviewed. Lastly, this paper proposes several problems to be solved for using harmonic state assessment to locate harmonic source in the future.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 406-411
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.406
• Online since: October 2014
• Authors: Le Feng Cheng, Tao Yu, De Hua Cai
• Keywords: GPS Technology, Harmonic Source Location, Intelligent Algorithm, Measurement Technology, PMU Technology, Power System, State Assessment

References

[1] E.Q. Yu. Power system state estimation [M]. Beijing: Hydraulic and Electric Power Press, (1985).

[2] C. Zhang, X.X. Zhou. Auto-disturbances rejection controller for thyristor controlled series capacitor (TCSC) [J]. Power System Technology (in Chinese), 1997，21(5): 57～61.

[3] G T Heydt. Identification of harmonic sources by a state estimation technique [J]. IEEE Trans. on Power Delivery, 1989, 4(1): 569-576.

DOI: 10.1109/61.19248

[4] Maged Najjar. A hybrid nonlinear-least squares estimation of harmonic signal levels in power system [J]. IEEE Trans. On Power Delivery, 1991, 6(1): 282-288.

DOI: 10.1109/61.103749

[5] Farach J E, Grady W M, Arapostathis A. An optimal procedure for placing sensors and estimating the locations of harmonic sources in power system [J]. IEEE Trans on Power Delivery, 1993; 8(3).

DOI: 10.1109/61.252656

[6] D. G Wu, Z. Xu. Review of power system harmonic state estimation [J]. Power System Technology, 1998, 22(1): 75-77.

[7] Meliopoulos A P S, Zhang Fan, Shalom Zelingher. Power system harmonic state estimation. IEEE Trans on Power Delivery [J]. 1994; 9(3): 1701~1709.

DOI: 10.1109/61.311191

[8] D. G Wu, Z. Xu. Power System Harmonic State Estimation Based on Phasor Measurements (I) – Theory, Model and Solution Algorithm[J]. Transactions of China Electrotechnical Society (in Chinese), 2004, 19(2): 64-68, 88.

[9] Z.P. DU, J. Arrillaga, N. Watsou.A. New Symbolic Method of Observability Analysis for Harmonic State Estimation of Power Systems. Proceeding of ICEE96. (1996).

[10] Beides H M, Heydt G T. Dynamic State Estimation of Power System Harmonics Using Kalman Filter Methodology [J]. IEEE Trans on power delivery, 1991, 6: 1663-1670.

DOI: 10.1109/61.97705

[11] Ma Haili, Girgis A A. Identification and tracking of harmonic source in a power system using a Kalman filter [J]. IEEE Trans on Power Delivery, 1996, 11.

DOI: 10.1109/61.517531

[12] Kent K C Yu, Watson N R, Arrillaga J. An adaptive Kalman filter for dynamic harmonic state estimation and harmonic injection tracking [J]. IEEE Trans on power delivery, 2005, 20: 1577-1584.

DOI: 10.1109/tpwrd.2004.838643

[13] Y. Zhan, Y. F Ding, H. Z Cheng, et al. A robust support vector algorithm for harmonics analysis of electric power system [J]. Proceedings of the CSEE (in Chinese), 2004, 24(12): 43-47.

[14] L. Ma, K. P Liu, X. Lei. Support Vector Machine Estimating Algorithm of Harmonic Source Localization in Power Distribution Network [J]. Proceedings of the CSEE, 2008, 28(10): 111-116.