Performance of Controller Designs in Small-Disturbance Angle Stability of Power Systems with Parametric Uncertainties

The electric power system is a complicated dynamic system with a range of operating states and parametric uncertainties, especially due to change of the network topology, load increment and generation scheduling. Under this circumstance, traditional power system transient stability analysis methods...

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Bibliographic Details
Published in:Revista IEEE América Latina 2021-12, Vol.19 (12), p.2054-2061
Main Authors: Santos, Moises, Calvaittis Santana, Gabriel, De Campos, Mauricio, Sperandio, Mauricio, Sausen, Paulo S.
Format: Article
Language:eng ; por
Subjects:
angle stability
Approximation
Automatic control
automatic generation control
Control stability
Control systems design
controller design
Controllers
Damping ratio
Dynamic scheduling
Eigenvalues
Electric power systems
Frequency response
IEEE transactions
Jacobian matrices
Methodology
Monte Carlo methods
Monte Carlo simulation
Network topologies
parametric uncertainties
Performance evaluation
Power system dynamics
Power system stability
Stability analysis
Transient stability
Uncertainty
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Summary:The electric power system is a complicated dynamic system with a range of operating states and parametric uncertainties, especially due to change of the network topology, load increment and generation scheduling. Under this circumstance, traditional power system transient stability analysis methods may not always be appropriate. This paper presents the development of a computational methodology for evaluating the effect of parametric uncertainties on the small-signal stability analysis of power systems. A probabilistic approach is applied as a metric for the dynamic performance of the damping ratio of critical eigenvalues. The method is based on a Monte Carlo simulation for the analysis of automatic control of generation. The methodology is used for the performance evaluation of three classical controller tuning techniques: Frequency Response, Approximate Method and Ziegler-Nichols. The results show that the methodology is valid and potentially useful for quantifying the effect of parametric uncertainties in power systems dynamics simulations.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2021.9480147