Open AccessVoltage Stability Of South Sulawesi Power System Using Fuzzy Logic Method Based On The Linguistic Variable
Author(s) -
Sugianto Sugianto,
Syarifuddin Nojeng,
Yustinus Upa Sombolayuk
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.6.17
Subject(s) - fuzzy logic , electric power system , computer science , variable (mathematics) , voltage , control theory (sociology) , control (management) , operator (biology) , stability (learning theory) , fuzzy control system , power (physics) , service (business) , voltage regulation , control engineering , engineering , mathematics , electrical engineering , artificial intelligence , business , mathematical analysis , quantum mechanics , machine learning , physics , repressor , chemistry , biochemistry , marketing , transcription factor , gene
This study aims to apply a new method for controlling voltage stability in electric power systems, using new modeling with linguistic variables of cryptic logic. The method can easily carry out appropriate control measures in accordance with human thinking and acting. The Fuzzy Logic Stabilizer periodically checks the voltage in real time at each bus and maps into linguistic variables, analyzes its control decisions, then calculates how much stability control is sent to all mobile operator numbers that have been registered at the short message service center, so that appropriate control measures are carried out on the On Load Tap Changer, or On Load Voltage Regulator at each substation, according to the contents of the short message it receives. Application of fuzzy logic stabilizer in the 46 bus electricity system of South Sulawesi will increase the quality of bus voltage from an average of 0.08% to 0.5% of the nominal voltage.