Title :
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
fDate :
9/1/1999 12:00:00 AM
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;
Journal_Title :
Energy Conversion, IEEE Transactions on
