Abstract
Improvement of Power System Stability using BBO Algorithm
Highlights
In recent years, enhancement of power system stability is becoming one of the most important problems encountered by electrical engineers due to the large scale and high nonlinearity of the today’s systems
The optimum power system stabilizers (PSSs) design presented in this study aims to minimize J1 and J2 using the biogeography-based optimization (BBO) algorithm
BBO and artificial bee colony (ABC) algorithms are with the same individual number and maximum number of iterations that are both fixed on 100
Summary
Enhancement of power system stability is becoming one of the most important problems encountered by electrical engineers due to the large scale and high nonlinearity of the today’s systems. Conventional techniques are iterative and require an initialization step that highly dependent to the operating conditions To overcome these drawbacks, several metaheuristic methods have been used for solving the problem of PSS design in recent years. A new naturally inspired algorithm called biogeography-based optimization (BBO) firstly proposed by Simon [19] has demonstrated a high potential in solving several engineering problems. Within this context, this study presents a BBO based method for optimal design of multimachine PSSs. All PSS parameters are tuned in order to shift all undamped and lightly damped electromechanical modes for several operating conditions into a pre-specified zone in the s-plane. Nonlinear time domain simulations carried out on the 10machine 39-bus New England power system show that the proposed method provides a robust performance for a wide range of loading conditions and under several large disturbances
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