Power system transient stability analysis based on random matrix theory

被引：0
|
作者：
Liu W. [1 ]
Zhang D. [1 ]
Wang X. [1 ]
Liu D. [1 ]
Wu Q. [1 ]
机构：
[1] China Electric Power Research Institute, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2016年 / 36卷 / 18期
基金：
中国国家自然科学基金;
关键词：
Data-driven; Power system; Random matrix theory; Time series analysis; Transient stability analysis;
D O I：
10.13334/j.0258-8013.pcsee.160779
中图分类号：
学科分类号：
摘要：
Power system transient analysis is an important means to ensure the stable operation of power network. With the development of the Wide-Area Management (WAMS), a large amount of operational data with spatiotemporal characteristics are produced. Traditional power system transient analysis is based on the physical model, in which different dimensions data are incorporated into strict mathematical formulas, unable to take full advantage of massive power grid data. Data-driven models were presented for power system transient stability analysis based on random matrix theory, taking into account the characteristics of the grid operation data. The status of power grid operation data application was summarized. Then the mean spectral radius calculation method was given and the impacts of different disturbances on the power system were analyzed. A quantitative evaluation index was proposed to assess the impact degree of disturbance by combining random matrix theory with time series analysis method. Finally, IEEE 39 nodes system was used to verify the feasibility and correctness of the method proposed. © 2016 Chin. Soc. for Elec. Eng.
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页码：4854 / 4863
页数：9
相关论文
共 13 条
  • [1] Zhang D., Miao X., Liu L., Et al., Research on development strategy for smart grid big data, Proceedings of the CSEE, 35, 1, pp. 2-12, (2015)
  • [2] Tang Y., Response-based wide area control for power system security and stability, Proceedings of the CSEE, 34, 29, pp. 5041-5050, (2014)
  • [3] Liu D., Ma S., Li B., Et al., Quantitative method for on-line power system transient stability assessment based on response information, Proceedings of the CSEE, 33, 4, pp. 85-95, (2013)
  • [4] Ma S., Liu D., Wu M., Et al., An online quantitative evaluation method of power system transient stability situation based on WAMS and generator pair, Power System Technology, 37, 5, pp. 1323-1328, (2013)
  • [5] Wu W., Tang Y., Sun H., Et al., A survey on research of power system transient stability based on wide-area measurement information, Power System Technology, 36, 9, pp. 81-87, (2012)
  • [6] Gu Z., Research on response-based power system transient stability control technique, (2014)
  • [7] Xu X., He X., Ai Q., Et al., A correlation analysis method for power systems based on random matrix theory, IEEE Transactions on Smart Grid, (2015)
  • [8] He X., Ai Q., Qiu R.C., Et al., A big data architecture design for smart grids based on random matrix theory, IEEE Transactions on Smart Grid, (2015)
  • [9] Xu X., He X., Ai Q., Et al., A correlation analysis method for operation status of distribution network based on random matrix theory, Power System Technology, 40, 3, pp. 781-790, (2016)
  • [10] Yan Y., Sheng G., Wang H., Et al., The key state assessment method of power transmission equipment using big data analyzing model based on large dimensional random matrix, Proceedings of the CSEE, 36, 2, pp. 435-445, (2016)
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