Abstract

This paper presents the design of two separate continually online trained (COT) neurocontrollers for excitation and turbine control of a turbogenerator connected to the infinite bus through a transmission line. These neurocontrollers augment/replace the conventional automatic voltage regulator and the turbine governor of a generator. A third COT artificial neural network is used to identify the complex nonlinear dynamics of the power system. Results are presented to show that the two COT neurocontrollers can control turbogenerators under steady-state as well as transient conditions and, thus, allow turbogenerators to operate more closely to their steady-state stability limits

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Automatic Voltage Regulator; Continually Online-Trained Neurocontrollers; Excitation Control; Infinite Bus; Learning (Artificial Intelligence); Machine Control; Neurocontrollers; Nonlinear Dynamics; Single-Machine Infinite Bus System; Steady-State Conditions; Steady-State Stability Limits; Transient Conditions; Transmission Line; Turbine Control; Turbine Governor; Turbines; Turbogenerators

International Standard Serial Number (ISSN)

0093-9994

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Full Text Link

Share

 
COinS