Probabilistic LV distribution network design for aggregated light industrial loads

This paper studies the statistical load modeling of a selected group of light industrial consumers as typically found within modern light industrial development nodes such as industrial parks. A statistical model using beta-distributed constant current load at daily instants of maximum demand was presented by Van Rhyn, Pretorius and Herman [1]. 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) [2].This paper shows how groups of different light industrial consumers as found in modern industrial parks or industrially zoned areas can be summated statistically to obtain a system maximum demand of the composite load. A simple algorithm can be used to calculate the beta parameters of individual or composite light industrial loads at daily instances of maximum demand as reported by Van Rhyn [3]. These parameters can be applied to an existing statistical voltage regulation model to design and specify low voltage (L V) distribution components for a grouped loading case study.