Digital Signal Processing

    

Transient Stability Assessment in the Presence of STATCOM Using Combined Neural Network

Authors: Fariba Rezazadeh Falah Anari, Saeid Niknafs

In this paper we have tried to introduce a model for transient stability prediction of a power system with a Static Compensator (STATCOM) to add a contribution to the subject. For this reason we applied so called, Committee Neural Networks (CNNs) methods as tools for Transient Stability Assessment (TSA) of power system. Transient stability of a power system is first determined based on the generator relative rotor angles procured from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system with STATCOM considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the CNN in which CNN is used as a classifier to determine whether the power system is stable or unstable.

Comments: 13 Pages.

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Submission history

[v1] 2014-05-07 05:41:16

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