Add to ORKGThis paper presents the study of voltage and power stability margins of an electrical power system with the use of artificial neural network (ANN).Both voltage and power stability margins are obtained from the real power-voltage (PV) and reactive power-voltage (QV) curve.PV and QV curve are generated by a series of power flow with an incremental of loads for each power flow series.Then,an ANN based model will be used to predict the values of voltage and power stability margins.IEEE 30-bus system has been chosen as the electrical power system.The load flow analysis are simulated by using Power World Simulator software version 16.The ANN based model is developed using MATLAB
This paper presents an application of Artificial Neural Network (ANN) algorithm for improving power ...
AbstractAt present, the evaluation of voltage stability assessment experiences sizeable anxiety in t...
In recent years artificial neural networks (ANNs) have been proposed as an alternative method for so...
Includes bibliographical references (pages 15-15)Electrical power systems in any part of the world a...
Nowadays, voltage instability and voltage collapse have become the main issues studied in electrical...
This paper presents ANN based model for predicting stability margin for a power system prone to volt...
This paper presents an artificial neural network (ANN) model for evaluating the voltage collapse poi...
Abstract: This paper presents an ANN based model for predicting stability margin for an asynchronous...
AbstractVoltage stability is concerned with the ability of a power system to maintain acceptable vol...
As power systems grow in their size and interconnections, their complexity increases. Rising costs d...
Abstract-- On-line security analysis is one of the important functions for modern power system contr...
The objective of this paper is to predict the secure or the insecure state of the power system netwo...
Artificial Neural Networks (ANNs) have recently been proposed as an alterative method for salving ce...
Abstract—Approximate loading margin methods have been developed using Artificial Neural Networks (NN...
The research presented in this thesis uses the Artificial Intelligence (AI) techniques to assess the...
This paper presents an application of Artificial Neural Network (ANN) algorithm for improving power ...
AbstractAt present, the evaluation of voltage stability assessment experiences sizeable anxiety in t...
In recent years artificial neural networks (ANNs) have been proposed as an alternative method for so...
Includes bibliographical references (pages 15-15)Electrical power systems in any part of the world a...
Nowadays, voltage instability and voltage collapse have become the main issues studied in electrical...
This paper presents ANN based model for predicting stability margin for a power system prone to volt...
This paper presents an artificial neural network (ANN) model for evaluating the voltage collapse poi...
Abstract: This paper presents an ANN based model for predicting stability margin for an asynchronous...
AbstractVoltage stability is concerned with the ability of a power system to maintain acceptable vol...
As power systems grow in their size and interconnections, their complexity increases. Rising costs d...
Abstract-- On-line security analysis is one of the important functions for modern power system contr...
The objective of this paper is to predict the secure or the insecure state of the power system netwo...
Artificial Neural Networks (ANNs) have recently been proposed as an alterative method for salving ce...
Abstract—Approximate loading margin methods have been developed using Artificial Neural Networks (NN...
The research presented in this thesis uses the Artificial Intelligence (AI) techniques to assess the...
This paper presents an application of Artificial Neural Network (ANN) algorithm for improving power ...
AbstractAt present, the evaluation of voltage stability assessment experiences sizeable anxiety in t...
In recent years artificial neural networks (ANNs) have been proposed as an alternative method for so...