scholarly journals Real time preventive actions for transient stability enhancement with a hybrid neural network-optimization approach

1995 ◽  
Vol 10 (2) ◽  
pp. 1029-1035 ◽  
Author(s):  
V. Miranda ◽  
J.N. Fidalgo ◽  
J.A.P. Lopes ◽  
L.B. Almeida
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Network Optimization ◽  
Transient Stability ◽  
Optimization Approach ◽  
Neural Network Optimization ◽  
Hybrid Neural Network ◽  
Preventive Actions ◽  
Stability Enhancement

scholarly journals Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach

2012 ◽  
Vol 4 (11) ◽  
pp. 3571-3595 ◽  
Author(s):  
Gonzalo Pajares ◽  
Carlos López-Martínez ◽  
F. Sánchez-Lladó ◽  
Íñigo Molina
Keyword(s):  
Neural Network ◽  
Network Optimization ◽  
Hopfield Neural Network ◽  
Optimization Approach ◽  
Polarimetric Sar ◽  
Neural Network Optimization ◽  
Sar Data

Optimal Power Control of Smart Grid Based on Neural Network Optimization

2011 ◽  
Vol 474-476 ◽  
pp. 626-632
Author(s):  
Li Yan Zhang ◽  
Shu Hai Quan
Keyword(s):  
Neural Network ◽  
Optimal Control ◽  
Smart Grid ◽  
Network Optimization ◽  
Computation Time ◽  
Optimization Approach ◽  
Neural Network Optimization ◽  
Control Approach ◽  
Optimal Power ◽  
Control Layer

This paper presents a neural network based optimal control approach for the power allocation problem of smart grid. Firstly the optimal control framework which consists of center control layer, area control layer and generator control layer is presented. In order to reduce computation time of optimal control, the neural network optimization method and schematic diagram is proposed. Simulation is implemented in a modified IEEE30-bus power system comprising 6 conventional generators and a wind plant. Simulation results demonstrate that the proposed neural network optimization approach is satisfied the demand of computation time and the optimal power controller can allocate the power into loads reasonably and cope with the fluctuation of the load and renewable energy source’s output power.

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