Stochastic load flow analysis using artificial neural networks

Amit Jain, S. C. Tripathy, R. Balasubramanian, Yoshiyuki Kawazoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Stochastic load flow is a method for calculation of the effects of inaccuracies in input data on all output quantities through the load flow calculations. This gives a range of values (confidence limit) for each output quantity, which represent the operative condition of the system, to a high degree of probability or confidence. This paper presents a new method for stochastic load flow analysis using artificial neural networks. It is desirable to know the state of the power system in a range with certain confidence, with consideration of input data uncertainties and inaccuracies, on instant-to-instant basis in the fastest possible way. Present method using artificial neural networks to stochastic load flow problem is an effort in that direction and will be a very useful technique in effectively dealing with demand side uncertainties for power system planning and operation. The proposed artificial neural network model has been tested on a sample power system using two different training algorithms and simulation results are presented.

Original languageEnglish
Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
PublisherIEEE Computer Society
ISBN (Print)1424404932, 9781424404933
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC, Canada
Duration: 2006 Jun 182006 Jun 22

Publication series

Name2006 IEEE Power Engineering Society General Meeting, PES

Other

Other2006 IEEE Power Engineering Society General Meeting, PES
CountryCanada
CityMontreal, QC
Period06/6/1806/6/22

Keywords

  • Artificial neural networks
  • Backpropagation
  • Confidence limit
  • Power systems
  • Quickprop
  • Stochastic load flow

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Jain, A., Tripathy, S. C., Balasubramanian, R., & Kawazoe, Y. (2006). Stochastic load flow analysis using artificial neural networks. In 2006 IEEE Power Engineering Society General Meeting, PES [1709368] (2006 IEEE Power Engineering Society General Meeting, PES). IEEE Computer Society. https://doi.org/10.1109/pes.2006.1709368