A minimal architecture neuro adaptive predictive control scheme for power system stabilizer

2022 ◽  
Vol 137 ◽  
pp. 107750
Author(s):  
Faisal Jamsheed ◽  
Sheikh Javed Iqbal
Keyword(s):  
Power System ◽  
Predictive Control ◽  
Power System Stabilizer ◽  
Control Scheme ◽  
System Stabilizer ◽  
Adaptive Predictive Control

scholarly journals Power System Stabilizer as a Part of a Generator MPC Adaptive Predictive Control System

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6631
Author(s):  
Paweł Sokólski ◽  
Tomasz A. Rutkowski ◽  
Bartosz Ceran ◽  
Dariusz Horla ◽  
Daria Złotecka
Keyword(s):  
Control System ◽  
Power System ◽  
Predictive Control ◽  
Parameters Estimation ◽  
Power System Stabilizer ◽  
Operating Point ◽  
Model Parameters ◽  
Model Predictive Controller ◽  
Predictive Controller ◽  
System Stabilizer

In this paper, a model predictive controller based on a generator model for prediction purposes is proposed to replace a standard generator controller with a stabilizer of a power system. Such a local controller utilizes an input-output model of the system taking into consideration not only a generator voltage Ug but also an additional, auxiliary signal (e.g., α, Pg, or ωg). This additional piece of information allows for taking oscillations into account that occur in the system and minimizing their impact on the overall system performance. Parameters of models used by the controller are obtained on the basis of the introduced black-box models both for a turbine and a synchronous generator, parameters of which are estimated in an on line fashion using a RLS method. The aim of this paper is to compare the behavior of the classical generator control system with a power system stabilizer and a model predictive control with an additional feedback signal. The novelty of the paper is related to the use of the predictive controller instead of the classical controller/stabilizer system and its possibility of stabilizing the power system. Contrary to the solutions found in the literature, which are commonly-based on a fuzzy logic approach, the authors propose the use of an adaptive model predictive controller, which takes advantage of the knowledge concerning the plant in the form of a model and adapts itself to the operating point of the system using the model parameters estimation mechanism. Moreover, the adaptive predictive controller, unlike other solutions, automatically adjusts signal levels to changes in the plant. The proposed solution is able to calculate the best control signal regardless of whether these changes of the plant are caused by a change in the operating point, or resulting from operation, e.g., wear of mechanical parts.

COMBINED CONTROLS OF STATCOM DEVICE AND MULTI-BAND POWER SYSTEM STABILIZER (MB-PSS) IN POWER SYSTEM

2009 ◽  
Vol 37 (1) ◽  
pp. 115-124
Author(s):  
M. Z. El-Sadek ◽  
G. Shabib ◽  
Youssef A. Mobarak ◽  
M. H. El-Ahmar
Keyword(s):  
Power System ◽  
Power System Stabilizer ◽  
Band Power ◽  
System Stabilizer ◽  
Multi Band

Design of a nonlinear power system stabilizer

2010 ◽  
Author(s):  
Yasser Yasaei ◽  
Masoud Karimi-Ghartemani ◽  
Alireza Bakhshai ◽  
Mostafa Parniani
Keyword(s):  
Power System ◽  
Power System Stabilizer ◽  
System Stabilizer
Sign in / Sign up

Export Citation Format

Share Document