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Power System Stabilizer Tuning to Enhance Kalimantan Selatan – Tengah and Kalimantan Timur System Interconnection Stability Using Particle Swarm Optimization
Hartono J.a, Hariyanto N.b, Rahman F.S.c, Kerdphol T.c, Watanabe M.c, Mitani Y.c
a PT PLN (Persero), Jakarta, Indonesia
b School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
c Department of Electrical and Electronics Engineering, Kyushu Institute of Technology, Kitakyushu, Japan
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.The main purpose of this paper is to propose an approach of the PSS (Power System Stabilizer) parameter tuning for interconnection system between Kalimantan Selatan – Tengah (Kalselteng) and Kalimantan Timur (Kaltim) in Indonesia. At this time, PSS module that exists on the generators in both of the subsystems have not been activated yet. This paper is expected to be a reference to determine the location and to tune the PSS parameter values for the other electrical power system in Indonesia. The location of PSS is determined by participation factor using DIgSILENT PowerFactory ® software, then the tuning is processed using Particle Swarm Optimization (PSO) method by MATLAB ®. After getting the tuned PSS parameter values, the response of the system towards the short-circuit simulation is compared with typical values of PSS parameter [7] as the validation process.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Electrical power system,Indonesia,Interconnection,Interconnection systems,Particle swarm optimization method (PSO),Power System Stabilizer,Power system stabilizer tuning,System interconnections[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Indonesia,Interconnection,Particle Swarm Optimization,Power System Stabilizer,Stability,Tuning[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT This study is supported by PT PLN (Persero), School of Electrical Engineering and Informatics Institut Teknologi Bandung (STEI-ITB) Indonesia, and the Power System and Renewable Laboratory (MITANI Lab), Kyushu Institute of Technology (KIT), Japan.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/EPECS.2018.8443361[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]