No abstract

No abstract

No abstract

The article describes the developed loss counter in power double-winding transformers of distribution net-works. The principle of operation of the proposed measuring unit of the loss counter is considered on the exam-ple of one channel for measuring current and voltage in accordance with the above functional scheme. The ap-pearance and main characteristics of the loss counter are given. The main characteristics of the developed loss counter are confirmed by the adjustment Protocol based on the results of measurements in the FBU «Rostov CSM» and are at the level of existing characteristics of electric energy quality analyzers. The data measured and calculated by the microcontroller of the loss counter, necessary for the implementation of the method of conditionally constant coefficients, are transmitted over the USB bus to a single-Board computer. Using the de-veloped software written in the high-level General-purpose programming language Python, the formation and sending of data to the information platform Yandex.Cloud. The approbation of the operation of the loss coun-ter on the developed physical model «power transformer-asymmetric and non-sinusoidal load» and operating substations is shown. Thus, the developed loss counter can be used to calculate losses from higher harmonic components in power transformers by the method of conditionally constant coefficients in the online mode us-ing the resources of the information platform Yandex.Cloud.

The paper presents the rationale and the problem of forming a probabilistic model of single-phase electricity consumers. To solve the problem, the corresponding mathematical apparatus is stated and the ontology of experiment planning is developed. The applicability of the prepared ontology was demonstrated on a specific example of an open dataset from the Intelligent Systems Subcommittee (ISS) IEEE. At the same time, the authors identified the characteristic modes of energy consumption for a particular residential building and data sets for direct construction of a probabilistic model of single-phase electricity consumers with total data loss caused by filtering less than 10%.