Transmission Loss Prediction for IEEE 30 bus system

Published: 13 May 2022| Version 1 | DOI: 10.17632/dd53vrd8sc.1
Contributor:
Sundaram Arunachalam

Description

A supervised learning algorithm is used to train a feed-forward neural network to predict the total transmission loss of the IEEE 30 bus power system when provided with the schedules of the power system generators (available in file lossdb.xlsx). A feedforward neural network with a back-propagation algorithm is trained and implemented using MATLAB. The first five columns in lossdb.xlsx are the schedules of the generators in the IEEE 30 bus system and the sixth column is the transmission loss obtained by load flow analysis. The code is available at https://doi.org/10.24433/CO.5812681.v1

Files

Steps to reproduce

The code is available at https://doi.org/10.24433/CO.5812681.v1

Institutions

Jubail Industrial College

Categories

Electric Power Transmission, Power System Control, Neural Network, Back Propagation Neural Network

Licence