Loading [a11y]/accessibility-menu.js
Off-line voltage security assessment of power transmission systems using UVSI through artificial neural network | IEEE Conference Publication | IEEE Xplore

Off-line voltage security assessment of power transmission systems using UVSI through artificial neural network


Abstract:

Coming days are becoming a much challenging task for the power system researchers due to the anomalous increase in the load demand with the existing system. As a result t...Show More

Abstract:

Coming days are becoming a much challenging task for the power system researchers due to the anomalous increase in the load demand with the existing system. As a result there exists a discordant between the transmission and generation framework which is severely pressurizing the power utilities. In this paper a quick and efficient methodology has been proposed to identify the most sensitive or susceptible regions in any power system network. The technique used in this paper comprises of correlation of a multi-bus power system network to an equivalent two-bus network along with the application of Artificial neural network(ANN) Architecture with training algorithm for online monitoring of voltage security of the system under all multiple exigencies which makes it more flexible. A fast voltage stability indicator has been proposed known as Unified Voltage Stability Indicator (UVSI) which is used as a substratal apparatus for the assessment of the voltage collapse point in a IEEE 30-bus power system in combination with the Feed Forward Neural Network (FFNN) to establish the accuracy of the status of the system for different contingency configurations.
Date of Conference: 21-23 October 2016
Date Added to IEEE Xplore: 23 February 2017
ISBN Information:
Conference Location: Kolkata, India

References

References is not available for this document.