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Small-Signal Stability Analysis of Power Systems Integrated with Variable Speed Wind Generators pp 303–347Cite as

Probabilistic Analysis of Small-Signal Stability of a Power System Affected by Grid-Connected Wind Power Generation

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Abstract

The operation of power system is stochastic in nature, and the uncertainties can be brought about by many aspects of the system, such as the stochastic variation of load conditions and intermittence of renewable energy generations (e.g., wind and solar). Analysis of power system small-signal stability introduced in this book so far (i.e., modal analysis and damping torque analysis) as well as system time-domain simulation are based on the deterministic system operating conditions with specific loading situation and constant network configuration. Hence, they are not able to deal with stochastic fluctuations of random variables in power systems and may bring impractical results to the system stability analysis. This limitation of deterministic analysis motivates the research of probabilistic analysis into small-signal stability issues, in which the uncertainty and randomness of power system behaviors can be fully considered and discussed.

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Author information

Authors and Affiliations

  1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China

    Wenjuan Du & Haifeng Wang

  2. Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Siqi Bu

Authors
  1. Wenjuan Du
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  2. Haifeng Wang
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  3. Siqi Bu
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Appendix 8.1: Data of Examples 8.1, 8.2 and 8.3

Appendix 8.1: Data of Examples 8.1, 8.2 and 8.3

8.1.1 Example 16-Machine 68-Bus New York and New England Power System [34] (Tables 8.5, 8.6 and 8.7)

All the synchronous generators employ sixth-order detailed model with damping D = 0.0. The structure of first-order excitation system model is shown by Fig. 8.19.

Table 8.5 Bus data
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Table 8.6 Line data
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Table 8.7 Machine data
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Fig. 8.19
figure 19

The first-order excitation system model of synchronous generator

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The parameters of excitation system model are

KA = 7.4, TA = 0.1s, efdmax = 10.0, efdmin =  − 10.0 (Example 8.1).

KA = 2.85, TA = 0.1s, efdmax = 10.0, efdmin =  − 10.0 (Example 8.2).

KA = 3.95, TA = 0.1s, efdmax = 10.0, efdmin =  − 10.0 (Example 8.3).

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Du, W., Wang, H., Bu, S. (2018). Probabilistic Analysis of Small-Signal Stability of a Power System Affected by Grid-Connected Wind Power Generation. In: Small-Signal Stability Analysis of Power Systems Integrated with Variable Speed Wind Generators. Springer, Cham. https://doi.org/10.1007/978-3-319-94168-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-94168-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94167-7

  • Online ISBN: 978-3-319-94168-4

  • eBook Packages: EnergyEnergy (R0)

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