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Wide area power system transient stability prediction incorporating dynamic capability curve and generator bus coherency

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Abstract

Any disturbance in the grid affects the real and reactive power outputs of the generators. The capability of producing real and reactive power is usually known as capability curve. The conventional static capability uses predefined operating constraints pertaining to mechanical power, rotor angle, terminal voltage, rated power factor and field voltage of the generator. However, the generators connected to the grid have dynamic operating states which can be predicted in real-time using data from phasor measurement unit (PMU). The generator transient stability is important from power system stability point of view because tripping of generators due to instability creates cascading effects. The present work proposes the real-time monitoring of dynamic state of generators through dynamic capability curve using rotor angle. The rotor angles are not directly measured by the PMUs and hence are being estimated using extended Kalman filter. Values of rotor angle are used for principal component analysis (PCA) for identifying coherent and non-coherent generators. Any non-coherent generator beyond the dynamic capability curve limits is a clear indication of eventually becoming an unstable generator and has been termed as most critical generator. The proposed scheme employs multiple artificial neural network to incorporate inference from dynamic capability curve as well as that from PCA for identifying critical generators as well as predicting the degree of criticality of marginally critical generators within a time window of 12 cycles after occurrence of fault. The simulation results using case studies from IEEE-39 bus system validates the efficacy of the proposed methodology.

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Funding

Funding was provided by Department of Science and Technology, Ministry of Science and Technology (Grant No. F.No.DST/NM-ICPS/MGB /2018)

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  1. Department of Electrical and Electronics, Birla Institute of Technology, Mesra, Ranchi, India

    Anant Milan Khalkho & Dusmanta Kumar Mohanta

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  1. Anant Milan Khalkho
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Correspondence to Dusmanta Kumar Mohanta.

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Appendix

Appendix

1.1 Mechanical power input values for generators considered

Table 6 Mechanical power limit of generators
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Khalkho, A.M., Mohanta, D.K. Wide area power system transient stability prediction incorporating dynamic capability curve and generator bus coherency. Electr Eng 103, 1445–1459 (2021). https://doi.org/10.1007/s00202-020-01171-8

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