PSO-Based Oscillatory Stability Assessment by Using the Torque Coefficients for SMIB

Nor Azwan Mohamed Kamari, Ismail Musirin, Ahmad Nazri Dagang and Mohd Hairi Mohd Zaman
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Nor Azwan Mohamed Kamari: Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Ismail Musirin: Faculty of Electrical Engineering, Universiti Teknologi Mara, Shah Alam 40450, Selangor, Malaysia
Ahmad Nazri Dagang: Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia
Mohd Hairi Mohd Zaman: Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia

Energies, 2020, vol. 13, issue 5, 1-15

Abstract: This study discusses the evaluation of oscillatory stability based on the synchronizing K s and damping K d torque coefficients for a single-machine system connected to an infinite bus (SMIB). Particle swarm optimization (PSO) technique is used to determine K s and K d values and subsequently identify the oscillatory stability conditions in the SMIB. The ability of PSO is compared with those of evolutionary programming (EP) techniques and artificial immune system (AIS). The least square (LS) method is selected as the benchmark for K s and K d values determined by PSO, EP, and AIS. Simulation results show that PSO successfully estimated K s and K d values closest to LS compared with EP and AIS. PSO also uses lower computational time compared with those of the two other techniques. The proposed technique is suitable for solving oscillatory stability problems based on the determination of eigenvalues and minimum damping ratio.

Keywords: eigenvalues; least square method; oscillatory stability; particle swarm optimization; synchronizing and damping torque coefficients (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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