The ability of power system to maintain steady voltage at all the buses after happening a disturbance from a given initial operation condition is defined the voltage stability in the system. The focus of this paper is on voltage stability monitoring using the generalized regression neural network by improving algorithm. In this paper, to identify load buses and certain operation condition, the static voltage stability method in power systems is presented. Based on load buses, the index of voltage stability is obtained from the voltage equation derived from a two bus network. The proposed methods are tested on the IEEE-14 bus test system
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 a new approach for estimating and improving voltage stability margin from phase ...
AbstractVoltage stability is concerned with the ability of a power system to maintain acceptable vol...
Transient stability evaluation (TSE) is part of dynamic security assessment of power systems, which ...
This paper proposes a neural network-based method for on-line voltage stability estimation, predicti...
The objective of this paper is to predict the secure or the insecure state of the power system netwo...
This project is about monitoring the voltage stability of a system bus. Voltage stability problem h...
This paper presents an analysis and selection of various techniques/parameters in developing a suita...
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...
The evaluation of voltage stability assessment experiences sizeable anxiety in the safe operation of...
Dynamic operating conditions along with contingencies often present formidable challenges to the pow...
This paper presents a new approach for assessing power system voltage stability based on artificial ...
AbstractAt present, the evaluation of voltage stability assessment experiences sizeable anxiety in t...
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 a new approach for estimating and improving voltage stability margin from phase ...
AbstractVoltage stability is concerned with the ability of a power system to maintain acceptable vol...
Transient stability evaluation (TSE) is part of dynamic security assessment of power systems, which ...
This paper proposes a neural network-based method for on-line voltage stability estimation, predicti...
The objective of this paper is to predict the secure or the insecure state of the power system netwo...
This project is about monitoring the voltage stability of a system bus. Voltage stability problem h...
This paper presents an analysis and selection of various techniques/parameters in developing a suita...
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...
The evaluation of voltage stability assessment experiences sizeable anxiety in the safe operation of...
Dynamic operating conditions along with contingencies often present formidable challenges to the pow...
This paper presents a new approach for assessing power system voltage stability based on artificial ...
AbstractAt present, the evaluation of voltage stability assessment experiences sizeable anxiety in t...
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 a new approach for estimating and improving voltage stability margin from phase ...