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Online Estimation of Synchronous Generator Voltage TransientInstability Criteria Using Intelligent Bayesian Theory

عنوان مقاله: Online Estimation of Synchronous Generator Voltage TransientInstability Criteria Using Intelligent Bayesian Theory
شناسه ملی مقاله: DMECONF08_065
منتشر شده در هشتمین کنفرانس بین المللی دانش و فناوری مهندسی برق مکانیک و کامپیوتر ایران در سال 1401
مشخصات نویسندگان مقاله:

Soheil Ranjbar - Department of Technical and Engineering, Velayat University, P.O. Box ۹۹۱۱۱-۳۱۳۱۱, Iranshahr,Iran.

خلاصه مقاله:
In this paper a new computational method based on AI methods called Bayesian theory is used for voltagetransient instability prediction. The ability of the proposed theory is determined by the system and loadcharacteristics, and the interactions of both continuous and discrete controls and protections. For samplegeneration a series of measurements are taken with ۵۰ms sampling windows under various faultsincluding operational and topological disturbances. The performance of proposed method is verified on۳۹ IEEE dynamic test system and the simulation results are presented for Bayesian training and testing.The results show the ability and influence of the proposed method for voltage transient instabilityprediction and can be used for protection devices.

کلمات کلیدی:
Voltage Transient Instability (VTS), Transmission Network, Detection, Prediction,Bayesian.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1637761/