PROCESSING TECHNIQUE OF TELEMETRY FROM AN OPERATIVE-INFORMATION COMPLEX FOR THE IDENTIFICATION OF STATIC LOAD CHARACTERISTIKS BY AN ACTIVE EXPERIMENT
Verified mathematical models based on information about equipment technical characteristics and measured mode parameters are utilized for a mode control of power systems. Special-purpose experiments with a forced-feed adjustment of a voltage value at a load bus are carried out for the refinement and updating power load parameters. These experiments are known as active experiments. Despite best practices in the sphere of the realization of active experiments, a processing technique of data is un-caused. This fact, mainly, connects with difficulties of a verification of characteristic properties of a power load; using measuring devices; carrying out an active experiment. Nevertheless, a processing technique of data, collected during an active experiment, comprises general stages directed to solutions of research tasks. Purpose: the aggregation of the processing experience for telemetry collected from an operative-information complex during an active experiment and the automation of the processing technique of telemetry. Methods: the technique of putting remote measurements, collected from an operative-information complex, in the common axis is developed. This technique serves for remote measurements evaluation and plotting active and reactive power’s dependencies from voltage values. The main advantages of the technique are that remote measurements are put in the common axis without decimation and a lost opportunity of their real recorded interval identification. The least-squares method is applied for the identification of a polynomial or a linear model of a static load characteristic for a group of measurements and, also, for taking aggregated static load characteristics. Results: to this date, the processing technique of data is formed. In this paper we present its step-typed description with regard to the identification of static load characteristics. We, also, give the recommendations and describe the approaches to an automation of data processing. It thins out of data processing time. Practical relevance: we are not intended to exhaustive composition of the technique, but we consider that this paper is relevant for researchers and engineers, specializing in the identification of static load characteristics or for solving similar tasks. This paper is sharing of exchanges and a step to the direction of the normative documentation development.