Abstract
Multimachine systems are complex power systems consisting of multiple generators, loads, and transmission lines. In these kinds of systems, maintaining stability is a difficult task. Different damping controllers, like the power system stabilizer and FACTS controllers, are used to maintain stability. The design of the control scheme ensures that the PSS and SSSC work together in a coordinated manner. The controller parameter is optimized by using metaheuristic methods. In this work, a salp swarm algorithm (SSA) is proposed to tune the controller parameters for the multi-machine system. The statistical analysis is carried out to assess the performances of the SSA method against some other promising methods. The objective of this work is considered as minimization of rotor speed deviation. The rotor speed deviation is suppressed by using SSA tuned damping controllers. The mean rotor speed deviation obtained using SSA is 0.000601 pu. Using MATLAB simulation, the performance of multi-machine system is examined in terms of speed deviation between inter-area and local-area, injected voltage, and tie-line power. The simulation result suggests the supremacy of SSA over other methods considered for comparative study.
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Appendix
Appendix
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1.
MMPS:
Generators: SB1=SB3= 2100 MVA, SB2= 4200 MVA, VB= 13.8 kV, f= 60 Hz
Loads: Load 1= Load 3= 250 MW, Load 2= 50 MW
Transformers: 13.8/500 kV, f =60 Hz, SBT1=SBT3= 2100 MVA, SBT2=1400 MVA
Injected voltage magnitude limit: Vq= \(\pm \) 0.2
Machine 1: Pe1= 1280 MW (0.6095 pu)
Machine 2: Pe2 =3480.6 MW (0.8287pu)
Machine 3: Pe3 =880 MW (0.419pu)
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Kar, M.K. Stability analysis of multi-machine system using FACTS devices. Int J Syst Assur Eng Manag 14, 2136–2145 (2023). https://doi.org/10.1007/s13198-023-02044-6
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DOI: https://doi.org/10.1007/s13198-023-02044-6