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)


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
Number of pages6
ISBN (Electronic)9781538608777
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


ConferenceInternational Conference on Innovative Trends in Computer Engineering
Abbreviated titleITCE


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

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