Load frequency control for power system with reheat steam turbine and governor deadband non-linearity by using neural network controller

2002 ◽  
Vol 12 (3) ◽  
pp. 179-184 ◽  
Author(s):  
H. L. Zeynelgil ◽  
A. Demirören ◽  
N. S. Şengör
Keyword(s):  
Neural Network ◽  
Power System ◽  
Steam Turbine ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Neural Network Controller ◽  
Network Controller ◽  
Reheat Steam

scholarly journals Application of Firefly Algorithm based Neural Network Controller

2019 ◽  
Vol 8 (11) ◽  
pp. 2659-2662
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Firefly Algorithm ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Hidden Layer

The Firefly Algorithm is comparison of new optimize procedure based on PSO as tautness. The paper presents the competence and forcefulness of the Firefly algorithm as the optimize concept for a proportional–integral–derivative organizer under various loading conditions. The proposed PID controller is attempt to designed and implemented to frequency-control of a two area interconnected systems. The hidden layer formation is not personalized, as the interest lies only on the reckoning of the weights of the system. In sequence to obtain a practicable report, the weights of the neural network are computational or optimized by minimizing function cost or error. A Firefly Algorithm is an efficient but uncomplicated meta-heuristic optimization technique inspired by expected motion of fireflies towards more light, is used for the preparation of neural network. The simulation report view that the calculation competence of training progression using Firefly Optimization performance with Load frequency control. A study of the output report of the system PID controller and FA based neural network controllers are made for 1% change in load in area 1 and it is found that the proposed controllers ensures a better steady state response of the systems

scholarly journals Novel Neural Network-Based Load Frequency Control Scheme: A Case Study of Restructured Power System

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Nagendra Kumar ◽  
Hasmat Mlik ◽  
Akhilesh Singh ◽  
Majed A. Alotaibi ◽  
Mohammed E. Nassar
Keyword(s):  
Neural Network ◽  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Restructured Power System ◽  
Load Frequency ◽  
Control Scheme
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