Appropriate statistical load models for light industrial electrification

Pierre Van Rhyn, Jan Harm Pretorius, Ronald Herman

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

2 Citations (Scopus)

Abstract

This paper studies the statistical load modelling of a selected group of light industrial consumers as typically found within modern light industrial development nodes such as industrial parks. A statistical model is presented which incorporates beta-distributed constant current load at daily instants of maximum demand. It has been established that light industrial consumer loads are stochastic of nature, similar to previously reported residential load, and that load uncertainty can be described mathematically at a specific interval in time using a beta probability density function (pdf). Practical measurements show how the beta pdf fits the distribution of load current at daily instants of maximum demand. The statistical description of load current at maximum demand creates new opportunities for light industrial electrification design.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Power and Energy Systems, EuroPES 2011
Pages325-330
Number of pages6
DOIs
Publication statusPublished - 2011
EventIASTED International Conference on Power and Energy Systems, EuroPES 2011 - Crete, Greece
Duration: 22 Jun 201124 Jun 2011

Publication series

NameProceedings of the IASTED International Conference on Power and Energy Systems, EuroPES 2011

Conference

ConferenceIASTED International Conference on Power and Energy Systems, EuroPES 2011
Country/TerritoryGreece
CityCrete
Period22/06/1124/06/11

Keywords

  • Beta distribution
  • Light industrial electrification
  • Load modelling
  • Statistical methods

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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