Power loss estimation in smart grids using a neural network model

Heba Kashef, Karar Mahmoud, Mohamed Abdel-Nasser

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

The techniques of minimizing losses in a smart grid system need a fast algorithm to estimate the conditions of the active distribution system. Excessive losses threat the reliability and security of the smart grid system. This paper presents a novel method for estimating power loss in a real-time of each line in the active distribution system. The proposed method, which is called, a neural network power loss estimation (NN-PLE) is a computational method for estimation the line losses using an artificial neural network. The proposed method provides a fast calculation with high accuracy comparing to other traditional methods that take a very long execution time. Simulation results are presented to demonstrate the performance of (NN-PLE) for a 33-bus distribution system with different data resolutions.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Innovative Trends in Computer Engineering, ITCE 2018
PublisherIEEE
Pages258-263
Number of pages6
ISBN (Electronic)9781538608777
DOIs
Publication statusPublished - 14 Mar 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Innovative Trends in Computer Engineering - Aswan, Egypt
Duration: 19 Feb 201821 Feb 2018

Conference

ConferenceInternational Conference on Innovative Trends in Computer Engineering
Abbreviated titleITCE
CountryEgypt
CityAswan
Period19/02/201821/02/2018

Keywords

  • Losses estimation
  • Neural network
  • Power distribution system
  • Power flow
  • Smart grid

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