Intellectualization of energy measurement structure

Abstract

Relevance: the energy problem is one of the global problems of our time. Many countries experience a systematic shortage of electricity. In this regard, rational distribution and correct accounting of electricity in everyday life and at work is an important task.

Aim: the main ways to reduce the error are considered: design, structural and algorithmic. Two structures SCP and SCE, implemented according to the multiplication scheme with one squarer, are considered. This allows eliminating the error due to non-squareness, which is present in two-channel structures with two squarers. The application of the developed SCPs in the system for diagnosing the technical condition of borehole pumps and determining their malfunctions is considered. The issues of intellectualization of the system for measuring the power and energy of alternating current circuits are also considered.

Methods: static power converters (SCP) and electricity (SCE) have a set of undeniable advantages that non-traditional and widely used electromechanical converters have. SCP and SCE are used for both direct and indirect measurement of power and energy, for example, in the diagnostic system of the technical condition of borehole pumps used in the oil industry. There are about 10 sources of SCP and SCE errors associated with various factors. It is very difficult to take into account and exclude all the components of the error. For this purpose, the inclusion of an intelligent block of hardware and software parts is being studied.

Results: intellectualization of power and energy measurement systems in AC circuits is conveniently expanded in SCP and SCE of the second and third groups. These microprocessor-based converters are characterized by a flexible algorithm and have high meteorological characteristics (accuracy, linearity, versatility, etc.) and are used for precise and special measurements. It can also be said that intelligent SCP and SCE must meet high technical requirements for accuracy, adaptability, minimization of band interference and vibration, and must also be easy to operate (analog and discrete output, wide temperature range, built-in microprocessor, modular technologies, etc.).