Small Signal Stability Analysis Based on Multi-Band Parallel Technology in Henan Power Grid

Abstract:

With the rapid growth in the size of Henan grid, in the context of UHV networking, Henan power grid operation is facing a more complex mechanism and operating characteristics. Risks affecting the security and stability will be more subtle. There are more and more problems in frequency oscillation. The power system has much more generators and dimension after interconnection. Small signal stability analyzing eigenvalue complex and longer, which greatly reduces the work efficiency. This paper which based on Henan power system stability diagnostic platform developed technology based on multi-band parallel algorithm for small signal stability analysis. The analysis of the small signal stability eigenvalue calculation is assigned to a different platform computing nodes simultaneously. Then this method is applied to Henan grid in the year of 2012. The results show that the small signal stability algorithm which based on the multi-band can ensure the correctness of calculations. Simultaneously, calculation time is greatly reduced and the work efficiency is improved. The practice has a strong role in the promotion.

• Periodical: Applied Mechanics and Materials (Volume 441)
• Pages: 258-262
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.441.258
• Online since: December 2013
• Authors: Lin Lin Yu, Yu Fei Rao, Shi Qian Wang
• Keywords: Henan Grid, Low Frequency Oscillation (LFO), Multi-Band, Small Signal Stability

References

[1] X. Yu, Z. He. Research on low-frequency oscillation of Hunan power system under inter-connected state power grid[J]. Hunan Electric Power. 2006, 26(1): 1-5.

[2] X. Zhao, Z. Yang. Study on low frequency oscillation after the interconnection of East China and Fujian power grids[J]. East China Electric Power, 2006, 34(2): 21-24.

[3] De Mello FP, Concordia C. Concepts of Synchronous Machines Stability as Affected by Excitation Control[J]. IEEE Trans on Power Apparatus and Systems, 1969, 88 (4): 316-329.

DOI: 10.1109/tpas.1969.292452

[4] P. Kundur, Power system stability and control [M]. New York: Mcgraw-Hill, (1994).

[5] Z. Hao, J. Zhou, Power system oscillation mode analysis based on improved ITD algorithm[J]. Electric Machines and Control, 2007, 11(3): 248-252.

[6] T. Wang, R. He, W, Wang. The mechanism study of lower frequency oscillation in power system[J]. Proceedings of the CSEE, 2002, (02).

[7] PEREZ-ARRIAGA I J. VERGHESE G C. SCHWEPPE F C. Selective modal analysis with application to electric power systems. part I: heuristic introduction. part II : the dynamic stability problem[J]IEEE Trans Power Apparatus& Systems，1982. 101(9): 3117-3134. Power Apparatus &. Systems. 1982. 101(9): 3117-3134.

DOI: 10.1109/tpas.1982.317525

[8] X. Zhang, C. Shen, S. Mei, Distributed AESOPS Algorithm for Eigenvalue Analysis of Small Signal Stability[J]. Automation of electric power systems. 2007, 13(31): 12-16.

[9] F. Zhang, G. Xu, C. Chen, Small signal stability analysis of power system with implicitly restarted arnoldi algorithm[J]. Proceedings of the CSU-EPSA, 2005, 17(4): 60-65.

[10] X. Wang,W. Fang,D. Zheng, Morden power system analysis[M], Science press, (2003).

[11] Z. Xu, Analysis of dynamic behavior of AC / DC power system[M], China machine press, (2004).