Open AccessStudies enhancement of transient stability by single machine infinite bus system and setting purpose genetic algorithm
Author(s) -
Zinah S. Hasan,
Dalya H. Al-Mamoori
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v25.i2.pp648-655
Subject(s) - control theory (sociology) , electric power system , transient (computer programming) , harmonics , matlab , genetic algorithm , computer science , voltage , capacitance , synchronization (alternating current) , engineering , power (physics) , computer network , chemistry , physics , channel (broadcasting) , control (management) , electrode , quantum mechanics , artificial intelligence , machine learning , electrical engineering , operating system
Maintaining network synchronization is important to customer service. Low fluctuations cause voltage instability, non-synchronization in the power system or the problems in the electrical system disturbances, harmonics current and voltages inflation and contraction voltage. Proper tunning of the parameters of stabilizer is prime for validation of stabilizer. To overcome instability issues and get reinforcement found a lot of the techniques are developed to overcome instability problems and improve performance of power system. Genetic algorithm was applied to optimize parameters and suppress oscillation. The simulation of the robust composite capacitance system of an infinite single-machine bus was studied using MATLAB was used for optimization purpose. The critical time is an indication of the maximum possible time during which the error can pass in the system to obtain stability through the simulation. The effectiveness improvement has been shown in the system.