Optimized Tuning Method of PSS Parameters Based on Probabilistic Eigenvalues

Ji-feng LIANG, Long-chao CHEN, Wen-ping HU, Xiao-ming LI, Xiao-jun LI, Xiao-wei WANG

Abstract


The existing PSS parameter setting adopts a single machine infinity mathematical model, which does not adapt to the change of the power grid mode. This paper proposes a probabilistic eigenvalue sensitivity analysis method. Based on probabilistic eigenvalues, the system stability analysis and PSS parameter selection are performed. Then an interface program for calling the PSASP small disturbance stability calculation program is developed based on the MATLAB software program, and two simulations are implemented. Co-simulation of software. Through the simulation of 8-machine 36-bus system, the results prove that the proposed algorithm and simulation method are effective and rapid, which provides a new method for PSS parameter tuning of power grid.

Keywords


Optimized Tuning Method of PSS Parameters Based on Probabilistic Eigenvalues


DOI
10.12783/dteees/epeee2018/26506

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