@inproceedings{ff42008fb92d4b32a70dd4e89d726cd4,
title = "Tuning of PID controller of synchronous generators using genetic algorithm",
abstract = "Control of synchronous generators such as automatic voltage regulators have been developed to maintain stability and to improve damping of power systems. When an operating condition changes greatly, however, such controllers may become less effective because of nonlinearity of the power system. The mathematical model of AVR system has been established for control and analysis using a flexible and fast tuning method based on genetic algorithm (GA) technique. Tuning with different population size and generations number have been used to determine the optimal values of the PID controller parameters to improve the transient response of the system.",
keywords = "Genetic Algorithm, PID Controller, Root locus, Synchronous Generator",
author = "Mohammed, \{Naeim Farouk\} and Enzhe Song and Xiuzhen Ma and Qaisar Hayat",
year = "2014",
doi = "10.1109/ICMA.2014.6885929",
language = "English",
isbn = "9781479939787",
series = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
publisher = "IEEE Computer Society",
pages = "1544--1548",
booktitle = "2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014",
address = "United States",
note = "11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 ; Conference date: 03-08-2014 Through 06-08-2014",
}