NEURAL NETWORK APPROACH FOR PROCESSING SUBSTATION ALARMS

Anitha G S; Kuldeep S

International Journal of Power Electronics Controllers and Converters

NEURAL NETWORK APPROACH FOR PROCESSING SUBSTATION ALARMS

Anitha G S
Kuldeep S ✉

Abstract

This paper studies the method of processing of alarms in an electric substation using artificial neural networks (ANN) as a tool. Whenever there is a fault in the power system, or there is a significant change in the network, alarms are issued to the substation operators, with each alarm being associated with a message. This is the driving force for research and experiments regarding innovations of more sophisticated methods of alarm processing. The method used in this study is artificial neural network. The network is a pattern recognition unit. Before using the network for alarm processing, the network is trained using back propagation algorithm to identify all possible combination of alarms received in a power system.

Full text

The full text of this article is available to subscribers.

On a subscribing campus you are let in by network address, with no login at all.

One-off purchase. Permanent access to this article, no account needed.

A year of online access to every article in International Journal of Power Electronics Controllers and Converters. Or choose several journals →

NEURAL NETWORK APPROACH FOR PROCESSING SUBSTATION ALARMS

Abstract

Read more of it

Publish your article

Abstract

Related articles

Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems

Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis

Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration

Vehicle to Grid and Grid to Vehicle single phase Grid

Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid

Performance Evaluation of EV Charging Station with Bidirectional Power Flow for Grid Support Applications

Read more of it

Publish your article