A Classification Rolling Contingency Screening Method for On-line Transient Security and Stability Assessment

被引:0
|
作者
Xu T. [1 ]
Du Y. [2 ]
Bao Y. [1 ]
Ma S. [3 ]
Ren X. [1 ]
Xiang X. [1 ]
机构
[1] NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing
[2] Electric Power Dispatching and Control Center of State Grid Jibei Electric Power Company Limited, Beijing
[3] China Electric Power Research Institute, Beijing
关键词
Contingency screening; On-line assessment; Stability margin; Stability mode; Transient security and stability;
D O I
10.7500/AEPS20170602007
中图分类号
学科分类号
摘要
To meet the requirement of calculation time for on-line transient security and stability assessment, an on-line transient security and stability contingency screening method based on margin and mode estimation is proposed. According to the margin and modes information of each contingency in previous assessment results, including transient power angle stability, transient voltage security, transient voltage stability, and transient frequency security, and combining the power flow change, in service or out of service information of the relevant components associated with the security and stability modes of each contingency, the transient security and stability margin of each contingency under the new on-line transient security and stability evaluation is estimated, and the corresponding security mode is determined. Thereby, the contingency subset, which needed to be calculated in detail can be screened from the complete contingency set in the on-line transient security and stability evaluation. According to the simulation analysis of actual power network data, the validity and practicability of the proposed method can be verified. © 2018 Automation of Electric Power Systems Press.
引用
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页码:182 / 188
页数:6
相关论文
共 16 条
  • [1] Xue Y., Quantitative Study of General Motion Stability and an Example on Power System Stability, (1999)
  • [2] Xu T., Xu J., Bao Y., Et al., On-line pre-decision based preventive and emergency control system for interconnected power grids, Automation of Electric Power Systems, 7, 30, pp. 1-4, (2006)
  • [3] Li B., Xu J., Xu T., Et al., Engineering application of integrated and coordinated defense technology of large power system security and stability, Automation of Electric Power Systems, 6, 32, pp. 25-30, (2008)
  • [4] Kaplunovich P.A., Turitsyn K., Fast and reliable screening of N-2 contingencies, IEEE Transactions on Power Systems, 31, 6, pp. 4243-4252, (2016)
  • [5] Sunitha R., Sreerama K., Abraham T.M., Online static security assessment module using artificial neural networks, IEEE Transactions on Power Systems, 28, 4, pp. 4328-4335, (2013)
  • [6] Liu Y., Liu Y., Liu J., Et al., Hadoop based distributed computing framework for large-scale cascading failure simulation and analysis of power system, Automation of Electric Power Systems, 40, 7, pp. 90-97, (2016)
  • [7] Joydeep M., Mohammed B., Nga N., Et al., A visualization tool for real-time dynamic contingency screening and remedial actions, IEEE Transactions on Industry Applications, 53, 4, pp. 3268-3278, (2017)
  • [8] Lu D., Yang F., Wang J., A contingency screening method based on trajectory eigenvalue, Automation of Electric Power Systems, 37, 5, pp. 38-43, (2013)
  • [9] Gu X., Cao S., Zhang W., Integration of ANNs and short-duration numerical simulation for contingency screening of transient security assessment, Automation of Electric Power Systems, 23, 8, pp. 16-19, (1999)
  • [10] Zhou W., Chen Y., Self-organizing mapping (SOM) neural networks for power system transient security assessment, Automation of Electric Power Systems, 26, 15, pp. 33-38, (2002)