Method and device for filtering electrical consumption curves and allocating consumption to classes of appliances

摘要

The invention relates to a method for analyzing the electrical consumption of a plurality of electrical appliances operating on a consumption site, by filtering a demand curve representing the electrical consumption of said appliances according to time. Said method is characterized in that it comprises the following steps: before the filtering per se of the demand curve, the demand curve is recorded and digitalized in such a way as to obtain a demand curve digitalized by periods of time; a set of categories of appliances is defined, each category being defined by similar cycles of power variation according to the time; an algorithm is defined for each category of appliances, for filtering the demand curve for said category of appliances, said algorithm being able to extract the power variation cycles from the digitalized demand curve and to allocate the electrical consumption to said category of appliances; then during the filtering per se of the digitalized demand curve, the filtering algorithms for each category of appliance are used successively to identify and regroup the power variation cycles consumed by said electrical appliances, from the digitalized demand curve.

主权项

1. A method for analysing the electric consumption of a plurality of electric household equipment operated on a consumption site, by filtering a load curve representing the electric consumption of said household equipment as a function of time, comprising the following steps:
prior to the filtering of the load curve:
save and digitize the load curve, so as to obtain a digitized load curve by periods of time;define a set of classes of household equipment, with each class being defined by similar power variation cycles;define for each class of household equipment, an algorithm for filtering the load curve dedicated to said class of household equipment, with said algorithm being able to extract power variation cycles from the digitized load curve, and to allocate it to said class of household equipment; and during the filtering of the digitized load curve:
successively use the filtering algorithms dedicated to each class of household equipment for identifying and grouping, from the digitized load curve, the variation cycles of the power consumed by the electric household equipment; wherein the digitized load curve is successively filtered using a specific algorithm for each class of household equipment, according to a sequenced succession of filtering algorithms, and wherein the step of filtering of the digitized load curve for a given class of household equipment includes the following operations:
search for, and extraction from the load curve of the power variation cycles characteristic of a given class of household equipment;distribution of the extracted cycles between a set of valid cycles and a set of provisionally rejected cycles;creation of a provisional partition composed of incomplete sub-sets of valid cycles, with each incomplete sub-set including cycles of only one piece of household equipment;local learning from the valid cycles of each provisional partition, so as to define criteria characteristic of the valid cycles;from the criteria resulting from the local learning, restoration of the chronological model of operation of each piece of household equipment, by allocating it previously provisionally rejected power variation cycles;updating the classification and the learning according to the step of restoration, so as to create a final partition of the extracted cycles, with each partition corresponding to the consumption of a piece of household equipment; and subsequent to the filtering of the digitized load curve, reducing a consumption of one or more of the classes of household equipment.