Appropriate Statistical Load Models for Light Industrial Electrification

Pierre van Rhyn, Jan-Harm Pretorius, and Ronald Herman


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


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.

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