Stochastic models of both the active and reactive electrical power demand of composite industrial plants are obtained from a detailed analysis of the use of individual pieces of equipment. Since the reactive load patterns differ significantly from the active ones, two distinct models should be identified. The load-duration curves are then determined and, in particular, the probability distributions of maximum 15 min average demands are derived. In this way, energy consumption, peak power demand and the optimal power factor correction may be found. The methodology has been successfully applied to the study of a machine-shop comprising more than 200 machines.
Modelling of electrical power demand characteristics for composite machine-shops
CALDON, ROBERTO;
1982
Abstract
Stochastic models of both the active and reactive electrical power demand of composite industrial plants are obtained from a detailed analysis of the use of individual pieces of equipment. Since the reactive load patterns differ significantly from the active ones, two distinct models should be identified. The load-duration curves are then determined and, in particular, the probability distributions of maximum 15 min average demands are derived. In this way, energy consumption, peak power demand and the optimal power factor correction may be found. The methodology has been successfully applied to the study of a machine-shop comprising more than 200 machines.
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