Research on Unequal Grouping of Parallel Compensation Capacity in Substation

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For the problem of unequal grouping of parallel compensation capacity in substation, this paper proposes a new optimization method based on curve segmentation and clustering. Firstly, calculate reactive power demand curve by transformer parameters and load curve, partition this curve into several segments. Then cluster these segmentation results into K clusters by using modified FCM (fuzzy C-means clustering) algorithm, in which K means the number of capacitor groups. Take the difference between two adjacent cluster centers as the capacity of each group. Furthermore, study the relationship between segment number and grouping centers in order to get the steady grouping results. After the grouping plan is determined, take the nine-area figure as control strategy. Finally, simulating with an equivalent practical power grid and load profile, the results show both the availability and rationality of this method that power loss is less and power factor is higher compared with the equal grouping method when capacitor is divided into 3 groups.

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1636-1642

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. J. Hang, Z. Ren: Automatic of Electric Power Systems, Vol. 29(2005) No. 2, p.34.

Google Scholar

[2] J. G. Ma, X. Xu and Q. L. Wan: Electric Power Automation Equipment, Vol. 24(2004) No. 6, p.91.

Google Scholar

[3] J. H. Xiong: Research for shunt capacitor for reactive compensation in the substation in regional power system (M.S., Sichuan University, China 2005).

Google Scholar

[4] Y. H. Li, Q. Chen, M. B. Liu, et al.: Relay, Vol. 34(2006) No. 23, p.29.

Google Scholar

[5] Y. Lu, S. L. Li and Z. Q. Lu: Power Capacitor, Vol. 2(2006) No. 2, p.8.

Google Scholar

[6] L. Liu, C. M. Wang, Y. Hou, et al.: Electrotechnical Application, Vol. 24(2005) No. 12, p.39.

Google Scholar

[7] G. F. Geng, T. C. Zhang: Journal of Shenyang Agricultural University, Vol. 43(2012) No. 5, p.581.

Google Scholar

[8] Y. J. Wang, H. Zhao, Y. Ding, et al.: Power System Protection and Control, Vol. 39(2011) No. 15, p.38.

Google Scholar

[9] G. F. Geng, J. Q. Liang, R. G. Harley, et al.: Proceedings of 2010 International Conference on Power System Technology (Hangzhou, China, Oct 24-28, 2010). p.1.

Google Scholar

[10] F. H. Qu, et al.: Fuzzy clustering algorithm and its application (National Defence Industry Press, Beijing 2011).

Google Scholar

[11] K. Q. Zhuang, X. Y. Li: Automatic of Electric Power Systems, Vol. 25(2001) No. 15, p.47.

Google Scholar

[12] Y. J. Wang: Practical researches on reactive power optimization (M.S., Zhejiang University, China 2011).

Google Scholar