Optimal Power System Stabilizer Design for a Multi-machine Power System to Damp the Low Frequencies using Metaheuristic Algorithms

Author

Behabahn university of technology

Abstract

To meet the energy demand, the expansion of transmission networks has caused low frequency oscillations in the power system. These fluctuations, if not attenuated, reduce the capability of the transmission lines and sometimes cause the whole system to be unstable. Proper selection of stabilizing parameters have great importance and increase the optimum performance during unwanted disturbances. In this article, a new algorithm based on teaching and learning is used to increase the stability of the multi-machine power system and thus increase the performance of the power system. In fact, since the optimal tuning of the control parameters has a direct effect on the low frequency stability, it becomes an optimization problem and is accomplished with a new algorithm based on the optimized training and learning algorithm of the power system stabilizer. In addition, the results are compared with the colonial competition algorithm. A four-Machin test system is used to evaluate the effectiveness of the proposed method. By examining the results in different modes, it is shown that the proposed method using the learning-based optimization algorithm is much more efficient than the proposed method using the colonial competition-based algorithm.

Keywords

References

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Journal of Solid and Fluid Mechanics
Volume 10, Issue 3
October 2020
Pages 195-206

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