scholarly journals Neural Network-Control Scheme for Grid Connected Hybrid Power Generation System for Power Quality Improvement

2012 ◽  
Vol 3 (1) ◽  
pp. 53-59 ◽  
Author(s):  
N Prakash
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Quality Improvement ◽  
Network Control ◽  
Neural Network Control ◽  
Generation System ◽  
Hybrid Power ◽  
Control Scheme ◽  
Power Quality Improvement ◽  
Power Generation System

A Review on DSTATCOM Neural Network Control Algorithm for Power Quality Improvement

2015 ◽  
Vol 785 ◽  
pp. 363-367
Author(s):  
N.H. Baharudin ◽  
Syed Idris Syed Hassan ◽  
Puteh Saad ◽  
Tunku Muhammad Nizar Tunku Mansur ◽  
Rosnazri Ali
Keyword(s):  
Neural Network ◽  
Quality Improvement ◽  
Power Quality ◽  
Control Algorithm ◽  
Industrial Applications ◽  
Network Control ◽  
Phase System ◽  
Neural Network Control ◽  
Neural Network Controller ◽  
Power Quality Improvement

This paper reviews neural network control algorithm for power quality improvement. Further, this paper focuses on the neural network control algorithm for DSTATCOM and surveys its area of improvements. Various architectures of Neural Network such as Adaline/Widrow-Hoff, perceptron, Back-propagation (BP), Hopfield, and Radial Basis Function (RBF) that has been reviewed in this paper. It is found that many researches on theoretical works and single phase system are widely performed, whereas its application on distribution network for three phase system is hardly found. Even so much improvement that have been done by researchers theoretically to improve the drawbacks of Neural Network controller; there are still wide gaps for verification through experimental implementation and industrial applications.

Control Scheme for Wind & Solar Complementation Generation System

2011 ◽  
Vol 187 ◽  
pp. 237-241
Author(s):  
Xin Gao
Keyword(s):  
Power Generation ◽  
Control Strategy ◽  
Energy Resources ◽  
Electric Heater ◽  
Renewable Energy Resources ◽  
Generation System ◽  
Hybrid Power ◽  
Control Scheme ◽  
Power Generation System ◽  
The One

Solar energy and wind energy are the two most viable renewable energy resources in the world. This paper presents a control strategy for wind & solar hybrid power generating systems. If the power generation sources produce more energy than the one required by the loads, the surplus energy can be used either to charge the battery or to provide a dump load (electric heater or electrolysis-hydrogen). If the amount of energy demanded by the loads is higher than the one produced by the power generation sources, the control strategy determines the battery will release energy to cover the load requirements until the battery is fully discharged. This paper explains the scheme developed and shows the control flowchart of hybrid power generation system.

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