AbstractAn artificial neural network (ANN) based current controller for a high voltage direct current (HVDC) transmission link, composed of an ANN trained off-line in parallel with a robust PI controller, is described in this paper. Different ANN architectures are investigated for this ANN controller. Comparisons between the responses obtained with the PI and ANN controllers for the rectifier of a HVDC transmission system are made for various system ANN parameters (learning rate and momentum term) contingencies and it is shown that the later has many attractive features
Abstract—This paper describes a single phase switched recti-fier for current control using Model Ref...
Abstract: This paper investigates the possibility of using artificial neural network to detect the f...
This research focuses on developing a proportional integral derivative controller based on a single ...
AbstractAn artificial neural network (ANN) based current controller for a high voltage direct curren...
This paper investigates possibility of using Neural network for optimisation of AC-DC Harmonics of H...
The application of high-voltage dc (HVDC) using voltage-source converters (VSC) has surged recently ...
The application of high-voltage dc (HVDC) using voltage-source converters (VSC) has surged recently ...
Attempts have recently been made to apply Neural Networks to control systems where they are to deal ...
The rapid growth of renewable energy technology enables the concept of microgrid (MG) to be widely a...
High Voltage Direct Current Technology has been a most attractive and beneficial transmission techno...
Purpose. This article proposes a new strategy for Direct Power Control (DPC) based on the use of Art...
This paper demonstrates a study to improve the total harmonic distortion (THD) originated due to exc...
Complete close-loop smooth control of reactive power can be achieved using shunt connected FACTS dev...
This paper presents simulation, design methodology and implementation of a Half Bridge DC-DC Convert...
Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power deli...
Abstract—This paper describes a single phase switched recti-fier for current control using Model Ref...
Abstract: This paper investigates the possibility of using artificial neural network to detect the f...
This research focuses on developing a proportional integral derivative controller based on a single ...
AbstractAn artificial neural network (ANN) based current controller for a high voltage direct curren...
This paper investigates possibility of using Neural network for optimisation of AC-DC Harmonics of H...
The application of high-voltage dc (HVDC) using voltage-source converters (VSC) has surged recently ...
The application of high-voltage dc (HVDC) using voltage-source converters (VSC) has surged recently ...
Attempts have recently been made to apply Neural Networks to control systems where they are to deal ...
The rapid growth of renewable energy technology enables the concept of microgrid (MG) to be widely a...
High Voltage Direct Current Technology has been a most attractive and beneficial transmission techno...
Purpose. This article proposes a new strategy for Direct Power Control (DPC) based on the use of Art...
This paper demonstrates a study to improve the total harmonic distortion (THD) originated due to exc...
Complete close-loop smooth control of reactive power can be achieved using shunt connected FACTS dev...
This paper presents simulation, design methodology and implementation of a Half Bridge DC-DC Convert...
Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power deli...
Abstract—This paper describes a single phase switched recti-fier for current control using Model Ref...
Abstract: This paper investigates the possibility of using artificial neural network to detect the f...
This research focuses on developing a proportional integral derivative controller based on a single ...