Evaluation of static characteristic coefficients basing on field test data

It is known that composition and behavior of an electrical load are constantly changing over time, therefore, to model and analyze the modes of power systems, it is necessary to update load models. This article proposes a method for processing the data of passive measurements to obtain static characteristic coefficients of loads. The developed algorithm includes the following subtasks: selection of initial data; determination of an acceptable modeling interval; clustering and filtering of measurement data; selection and statistical evaluation of the load static characteristic. This algorithm was applied to estimate coefficients of linearized static characteristic model of a real load node based on the field measurements and showed results close to the previously obtained experimental estimates for this type of load. This indicates the applicability of the proposed method for assessing the static characteristic coefficients of various load nodes.