شماره ركورد كنفرانس :
4262
عنوان مقاله :
Using Big Bang - Big Crunch Algorithm in decentralized Electrical Power Systems in Order to Design Automatic Generation Control
پديدآورندگان :
Divdel Hassan Hasan.divdel@gmail.com Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran , Sakhavati Aidin Aidin_Sakhavati@iaut.ac.ir Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
كليدواژه :
Automatic Generation Control , generation rate constraint , time delay , governor speed regulation , governor speed regulation parameters , frequency bias coefficient , Hybrid Big , Bang Big Crunch algorithm , dead band.
عنوان كنفرانس :
اولين همايش ملي روبات هاي صنعتي هوشمند
چكيده فارسي :
In this paper, a Hybrid Big-Bang Big Crunch algorithm has been used to optimize several important parameters of the Automatic Generation Control of a three-area thermal system, such as; the integral controlling gain (Ki) as secondary control, the governor speed regulation parameters (Ri) for initial control and frequency bias coefficient Bi in the presence of physical restrictions. The simultaneous optimization of Kli, Ri and Bi parameters have not done in previous studying, furthermore, this method improves the dynamic response of the system and at the same time allows more allocation of Ri in some areas which will lead to cheap and easy access to governor.
