Power system state space identification based on multi-innovation coupling least square algorithm

被引:0
作者
Suo, Jianglei [1 ]
Hu, Zhijian [1 ]
Liu, Yukai [2 ]
Zhang, Ziyong [1 ]
Wang, Wei [3 ]
机构
[1] School of Electrical Engineering, Wuhan University, Wuhan
[2] State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an
[3] Guangzhou Power Supply Company Limited, Guangzhou
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2015年 / 35卷 / 07期
关键词
Electric power systems; Low frequency oscillation; Multi-innovation coupling least square algorithm; State space; System identification; Wide area damping controller;
D O I
10.16081/j.issn.1006-6047.2015.07.011
中图分类号
学科分类号
摘要
A practical identification method of power system state space model is proposed for the engineering application of wide area damping controller, which adopts the coupling least square algorithm to make full use of the intermediate data during identification and avoid the redundancy due to the repeated iterative calculation of high dimensional covariance matrix. Combined with the multi-innovation identification, the multi-innovation coupling least square algorithm is deduced to further improve the identification accuracy. Without any additional excitation, the noise-like signals existing in the system are used to complete the power system identification. Simulations for 4-machine 2-area and 10-machine 39-bus test systems are carried out to verify the advantages of the proposed method: simple identification process, small calculation load, high identification accuracy, and easy online data updating according to system structure change. ©, 2015, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:65 / 73
页数:8
相关论文
共 13 条
[1]  
Zhu F., Zhao H., Liu Z., Et al., The influence of large power grid interconnected on power system dynamic stability, Proceedings of the CSEE, 27, 1, pp. 1-7, (2007)
[2]  
Yuan Y., Sun Y., Cheng L., Wide area PSS coordinated design based on multi-signal online identification, Automation of Electric Power Systems, 34, 8, pp. 14-19, (2010)
[3]  
Wang J., Li P., Fu C., Review of research on wide-area damping control and its engineering application, Power System Technology, 35, 10, pp. 29-35, (2011)
[4]  
Hu Z., Zhao Y., Robust stability control of power systems based on WAMS with signal transmission delays, Proceedings of the CSEE, 30, 19, pp. 37-43, (2010)
[5]  
Chen S., Li X., Wu L., Et al., Wide-area damp control for AC/DC hybrid transmission systems based on identification of reduced order model, Power System Technology, 31, 17, pp. 36-40, (2007)
[6]  
Ye H., Studies on low frequency oscillation analysis and wide-area adaptive control for large scale power system, (2009)
[7]  
Qi J., Jiang Q., Cao Y., General Prony identification algorithm for power system transfer function, Proceedings of the CSEE, 28, 28, pp. 41-46, (2008)
[8]  
Ye H., Liu Y., Design of model predictive controllers for adaptive damping of inter-area oscillations, International Journal of Electrical Power & Energy Systems, 45, 1, pp. 509-518, (2013)
[9]  
Lu C., Wu C., Wang T., Et al., Auto regressive moving averaging vector model identification and power system adaptive damping control, Proceedings of the CSEE, 30, 19, pp. 31-36, (2010)
[10]  
Ding F., Liu X., Liu G., Multiinnovation least-squares identification for system modeling, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40, 3, pp. 767-778, (2010)