Reduction of Generator Rotor Oscillations using Artificial Intelligence

A. Jeevanandham*, K. Thanushkodi**
*Department of Electrical and Electronics ,Bannari Amman Institute of Technology,Sathyamangalam,India.
**Principal,Coimbatore Institute of Engineering and Information Tech.,Coimbatore,India.
Periodicity:October - December'2008
DOI : https://doi.org/10.26634/jee.2.2.298

Abstract

A classical lead-lag power system stabilizer is used for demonstration in this paper. Three machines connected to infinite bus system is considered. The stabilizer parameters are selected in such a manner to damp the inter area and rotor oscillations. The problem of selecting the stabilizer parameters is converted in to a simple optimization problem with an eigen value based objective function and it is proposed to employ tabu search and simulated annealing for solving optimization problem. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigen values in the left hand side of the complex s-plane. The tuning results of various combinations of machines are compared. The effectiveness of the stabilizer tuned using the suggested technique, in enhancing the stability of power system. Stability is confirmed through eigen value analysis and simulation results.

Keywords

Rotor oscillations, Power system stability, Robust control, Tabu search, Simulated Annealing

How to Cite this Article?

A. Jeevanandham and K. Thanushkodi (2008). Reduction of Generator Rotor Oscillations using Artificial Intelligence. i-manager’s Journal on Electrical Engineering, 2(2), Oct-Dec 2008, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 7-15. https://doi.org/10.26634/jee.2.2.298

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