Using fuzzy binary relations to characterize total power-load curve

Author:

Malafeev A.V.

Abstract

Abstract The paper proposes an approach to load forecasting on the shop floor level of power distribution, as well as to forecasting the loads of process-sharing subdivisions for the dispatching of industrial pow-er supply. The approach implies mathematical representation of process linkages inside a production fa-cility as fuzzy relations. Fuzzy relations are described quantitatively by the incidence matrices, which are decomposed on multiple levels depending on the desired accuracy. It is proposed to find the coor-dinates of an ordered resulting curve, from which a daily curve can be derived on the known-form ba-sis. The approach can be used by the parameter and production teams of the Chief Power Engineer’s office of an industrial enterprise to make day-ahead curves as well as standard long-term daily curve.

Publisher

IOP Publishing

Subject

General Medicine

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