Multimachine stability analysis using meta-heuristic PSO algorithm for HGTG and SGTG systems
by R. Shivakumar; R. Lakshmipathi; M. Chandrasekaran
International Journal of Modelling, Identification and Control (IJMIC), Vol. 15, No. 1, 2012

Abstract: Power system damping controllers are now widely used in the industry to mitigate the electromechanical oscillations observed in modern power system network. This paper provides a systematic approach to damp the electromechanical oscillations experienced in the three machine nine bus multimachine hydro governor turbine generator (HGTG) and steam governor turbine generator (SGTG) systems based on meta-heuristic particle swarm optimisation (PSO) algorithm. The proposed controller design is formulated as a tri-objective optimisation criterion comprising of eigenvalue, damping ratio and time domain-based objective functions to compute the optimal damping controller parameters for stability analysis and enhancement. The complicated and contrasting feature of this work is the mathematical modelling and simulation of the governor turbine model along with the coordinated design of multimachine generator model for both hydro and steam power systems. Another important feature of this work is the implementation of dynamic model sensitivity factor-based non-linear time domain simulation of the multimachine models, to validate the robustness of the proposed meta-heuristic controller over the conventionally designed lead lag controller.

Online publication date: Sat, 29-Nov-2014

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