SYSTEM AND METHOD EMPLOYING A SELF-ORGANIZING MAP LOAD FEATURE DATABASE TO IDENTIFY ELECTRIC LOAD TYPES OF DIFFERENT ELECTRIC LOADS

摘要

A method identifies electric load types (12) of a plurality of different electric loads (22,24,26,28). The method includes providing a self-organizing map load feature database (104) of a plurality of different electric load types (12) and a plurality (K) of neurons (124), each of the load types corresponding to a number of the neurons; employing a weight vector (m₁) for each of the neurons; sensing a voltage signal (20) and a current signal (18) for each of the loads; determining a load feature vector (140;x) including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying (106) by a processor (30) one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance (d;d_E) to the load feature vector.