Open AccessPower System Transient Stability Improvement Using Fuzzy Logic
Author(s) -
Israa I. Khaleel
Publication year - 2022
Publication title -
mağallaẗ tikrīt li-l-ʻulūm al-handasiyyaẗ/tikrit journal of engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 2312-7589
pISSN - 1813-162X
DOI - 10.25130/tjes.22.2.06
Subject(s) - transient (computer programming) , fuzzy logic , control theory (sociology) , electric power system , stability (learning theory) , engineering , fuzzy control system , power (physics) , control engineering , event (particle physics) , computer science , mathematics , artificial intelligence , machine learning , physics , control (management) , quantum mechanics , operating system
Transient stability analysis is considered one of the most important subject related to any power system, where the study aim is to estimate whether the system will stay stable in the event of abnormal cases. Fuzzy Logic is used to estimate the value of added braking resistance required to bring the system to its normal state. This method has been applied with experimental system having five buses.