Generating Unit Excitation Neuro-Controller

Autor:	O.A. Mahgoub, E. E. Abu El-Zahab, Mahmoud M. Salem, Om P. Malik, A.M. Zaki
Rok vydání:	2000
Předmět:	Acceleration Engineering Electric power system Error function Artificial neural network business.industry Control theory Computer Science::Neural and Evolutionary Computation Electronic engineering Range (statistics) Voltage regulator business Excitation
Zdroj:	IFAC Proceedings Volumes. 33:67-72
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)40940-2
Popis:	An excitation neuro-controller (ENC) that integrates the automatic voltage regulator (AVR) and the power system stabilizer (PSS) functions using an artificial neural network (ANN) is described in this paper. The input to the controller is the terminal voltage and the output is the field control signal. The PSS action is obtained by using a modified error function that includes speed error and acceleration to update the ENC weights on-line. Simulation studies show that the ENC can provide good dynamic performance for the single-machine infinite-bus system over a wide range of operating conditions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f3a0f5978211d6fbd61118b99e8345d5 https://doi.org/10.1016/s1474-6670(17)40940-2 Zobrazit plný text záznamu