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PMU-based vulnerability assessment of power systems

PMU-based vulnerability assessment of power systems

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The proposed MLE method is validated for the assessment of one of the vulnerable patterns of power systems: transient rotor-angle instability. The main idea is to calculate MLE along the system dynamic trajectory in order to predict a loss of synchronism of power systems. Observability of PMU-based power system analysis is studied with a purpose of developing a method to quantify how well the available PMU measurements can be used to monitor dynamics of a power system. The research results in an innovative application of PMU data. Once an unstable power swing is captured and rotor-angle instability is predicted by the above method, self-healing actions, such as power system partitioning control.

Chapter Contents:

  • 8.1 Introduction
  • 8.1.1 Cascaded events and vulnerability assessment
  • 8.1.2 PMU-based monitoring of power systems
  • 8.2 PMU-based monitoring and assessment of rotor-angle stability
  • 8.2.1 Maximum Lyapunov exponent (MLE) method
  • 8.2.2 MLE calculation algorithm
  • 8.3 Observability for PMU-based monitoring of system dynamics
  • 8.3.1 Static observability
  • 8.3.2 Topology observability
  • 8.3.3 Dynamic observability
  • 8.3.4 PMU-based monitoring of power system dynamics
  • 8.4 Example
  • 8.5 Conclusion
  • Acknowledgment
  • References

Inspec keywords: power system transient stability; maximum likelihood estimation; phasor measurement

Other keywords: transient rotor-angle instability; MLE method; power system PMU-based vulnerability assessment

Subjects: Other topics in statistics; Power system measurement and metering; Power system control

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