Effective Hybrid Optimization Algorithm for Power Oscillation Damping

Abstract:

In this paper, a hybrid optimization method, GA-SQP, is presented in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers parameters tuning problem is converted to an optimization problem which is solved by hybrid GA-SQP optimization algorithm. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.

• Periodical: Advanced Materials Research (Volumes 622-623)
• Pages: 1168-1172
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.622-623.1168
• Online since: December 2012
• Authors: Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, Mohammad Khajehzadeh
• Keywords: Genetic Algorithm (GA), Low Frequency Oscillation (LFO), Power System Stabilizer, Sequential Quadratic Programming

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