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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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RMP model based optimization of power system stabilizers in multi-machine power system.

Seung-Mook Baek1, Jung-Wook Park

  • 1School of Electrical & Electronic Engineering, YONSEI University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Republic of Korea. sm_baek@yonsei.ac.kr

Neural Networks : the Official Journal of the International Neural Network Society
|July 15, 2009
PubMed
Summary

This study optimizes power system stabilizer (PSS) parameters using the reduced multivariate polynomial (RMP) algorithm. The method enhances low-frequency oscillation damping and system robustness against disturbances.

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Area of Science:

  • Electrical Engineering
  • Control Systems Engineering
  • Computational Mathematics

Background:

  • Power systems require robust control for stability during large disturbances.
  • Traditional methods for tuning power system stabilizers (PSS) may not fully address nonlinear dynamics.
  • Optimizing PSS parameters is crucial for effective damping of low-frequency oscillations.

Purpose of the Study:

  • To present a novel nonlinear parameter optimization method for PSS using the reduced multivariate polynomial (RMP) algorithm.
  • To optimally tune the output saturation limiter of PSS for improved damping performance.
  • To evaluate the robustness of the optimized PSS against various disturbances in different power system configurations.

Main Methods:

  • Utilizing the reduced multivariate polynomial (RMP) algorithm, which estimates second-order partial derivatives of the Hessian matrix.
  • Employing hybrid system modeling with a differential-algebraic-impulsive-switched (DAIS) structure to compute trajectory sensitivities.
  • Optimizing PSS nonlinear parameters by minimizing an objective function (OF) representing desired performance measures.
  • Performing time-domain simulations on single-machine infinite bus (SMIB) and multi-machine power system (MMPS) test cases.

Main Results:

  • The RMP algorithm effectively optimizes nonlinear PSS parameters, including the output saturation limiter.
  • Demonstrated significant improvement in low-frequency oscillation damping performance during large disturbances.
  • Achieved robust performance of multiple PSSs on the IEEE benchmark two-area four-machine power system against various disturbances.
  • Validated the proposed method through comprehensive case studies on SMIB and MMPS.

Conclusions:

  • The RMP algorithm offers an efficient and effective approach for nonlinear parameter optimization of PSS.
  • The optimized PSS demonstrates enhanced damping capabilities and robustness in power systems.
  • The method provides a valuable tool for improving the stability and performance of modern power grids.