Real-time implementation and experimental studies of a neural adaptive power system stabilizer

Author

Shamsollahi, Payman ; Malik, Om P.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

14

Issue

3

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

737

Lastpage

742

Abstract

Implementation and experimental test results of a neural adaptive power system stabilizer (NAPSS) are presented in this paper. The digital control system is composed of a micro-alternator, a programmable logic controller (PLC) acting as AVR, a data acquisition system, a PC-based man-machine-interface (MMI) routine and a digital signal processor (DSP) board as the controller. The proposed NAPSS has been tested for a variety of operating conditions and disturbances. A digital-type conventional stabilizer has also been implemented in the same environment for comparison purposes. Results of the laboratory studies show that the proposed NAPSS effectively damps low frequency oscillations and improves power system stability

Keywords

adaptive control; alternators; data acquisition; digital control; digital signal processing chips; neurocontrollers; oscillations; power system control; power system stability; programmable controllers; user interfaces; AVR; DSP; PC-based man-machine-interface; controller; data acquisition system; digital control; digital control system; digital signal processor; disturbances; low frequency oscillations damping; micro-alternator; neural adaptive power system stabilizer; neural nets; on-line training; operating conditions; power system stability improvement; programmable logic controller; real-time implementation; Adaptive systems; Control systems; Data acquisition; Digital control; Digital signal processing; Digital signal processors; Laboratories; Power systems; Programmable control; System testing;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.790944

Filename

790944