Monitoring the Accuracy of Measurements the Load of Industrial Enterprises

The normalized accuracy of the installed measuring instruments determines the scheduled measurement accuracy of the daily active load of an industrial enterprise. To maintain  it during operation, syntactic and semantic methods can be used to control the reliability of load measurements. During syntactic control, the state of measuring instruments that collect and process information about the enterprise’s load is diagnosed. Semantic control is based on the use of probabilistic characteristics of the measured load. The condition necessary for semantic control is the presence of information redundancy about the values of the monitored load. It is possible to control the load limit values (settings) when a priori information is known about the lower and upper limits in which reliably measured load values in normal operation of the enterprise may be contained. The article considers control methods that use a posteriori redundant information about the dynamics of load alterations in various sections of the daily schedule. These methods include monitoring by the first increments of the load, which characterize the speed of its alterations, as well as control using linear and nonlinear extrapolations of the first increments.  The results of the analysis of probabilistic characteristics of the daily active load of the enterprise and its first increments, which characterize the rate of load change, are presented. The effect of probabilistic characteristics of the first load increments on the boundaries of making a decision about the reliability of measurements is demonstrated. A comparative analysis of the effectiveness of reliability control methods based on the first load increments and their extrapolated values  has been carried out on the example of measurements of daily active load schedules of the “Minsk Motor Plant” JSC.

1. Singer I. S., Kutsyk B. S. (1974) Ensuring Data Reliability in Automated Production Management Systems. Moscow, Nauka Publ. 298 (in Russian).

2. Mamikonov A. G., Kul’ba V. V., Shelkov A. B. (1986) Reliability, Protection and Reservation of Information in the Automated Control System. Moscow, Energoatomizdat Publ. 304 (in Russian).

3. Levin G. Ya. (1977) On the Ratio of Syntactic and Semantic Approaches to the Problem of Searching for Acceptable Parameter Values. Izvestiya SPbGETU “LETI”. Problemy Povysheniya Effektivnosti Proizvodstva [Izvestia SPbGETU “LETI” the Problem of Improving the Efficiency of Production], (225), 53–56 (in Russian).

4. Glazunov L. P., Grabovetskii V. P., Shcherbakov O. V. (1984) Fundamentals of the Reliability Theory of Automatic Control Systems. Leningrad, Energoatomizdat Publ. 208 (in Russian).

5. Benn D. V., Farmer E. D. (1987) Comparative Models of Electric Load Forecasting. Translated from English. Moscow, Energoatomizdat Publ. 200 (in Russian).

6. Anishchenko V. A. (2000) Reliability of Measurement Information in Electric Power Supply Systems. Minsk, BGPA. 128 (in Russian).

7. Kavalerov G. I., Mondel'shtam S. M. (1974) Introduction to the Information Theory of Measurements. Moscow, Energiya Publ. 375 (in Russian).

8. Novitskii P. V., Zograf I. A. (1985) Estimation of Errors in Measurement Results. Leningrad, Energoatomizdat Publ. 248 (in Russian).

9. Novitskii P. V., Zograf I. A., Labunets V. S. (1990) The Dynamics of the Errors of Measuring Instruments. Leningrad, Energoatomizdat Publ. 192 (in Russian).

10. State Standard 34100.3–2017. The Uncertainty of the Measurement. Part 3. The Guide to the Expression of Uncertainty in Measurement. Moscow, Standartinform Publ., 2017. 77 (in Russian).

11. Itskovich E. L. (1975) Production Control with the Use of Computers. Moscow, Energiya Publ. 416 (in Russian).

12. Sveshnikov A. A. (1968) Applied Methods of the Theory of Random Functions. Moscow, Nauka Publ. 464 (in Russian).

13. Anishchenko V. A. (1990) Control of Reliability of Measurements of Parameters of Energy Objects Based on Extrapolating Filters. Izvestiya Vysshikh Uchebnykh Zavedenii. Energetika [Proceedings of the CIS Higher Education Institutions. Energetika], (8), 49–52 (in Russian).

14. Anishchenko V. A., Pisaruk T. V. (2018) Control of Reliability of Measurements in Power Systems According to the First Increment and on the Basis of Extrapolating Filters. Energetika. Izvestiya Vysshikh Uchebnykh Zavedenii i Energeticheskikh Ob’edinenii SNG = Energetika. Proceedings of the CIS Higher Education Institutions and Power Engineering Associations, 61 (5), 423–431. https://doi.org/10.21122/1029-7448-2018-61-5-423-431 (in Russian).

15. Anishchenko V. A., Pisaruk T. V. (2017) The Effectiveness of Validation Measurements in Automated Systems of the Power Supply Systems Control in Accordance with Limit Values. Energetika. Izvestiya Vysshikh Uchebnykh Zavedenii i Energeticheskikh Ob’edinenii SNG = Energetika. Proceedings of the CIS Higher Education Institutions and Power Engineering Associations, 60 (5), 407–416. https://doi.org/10.21122/1029-7448-2017-60-5-407-416 (in Russian).

16. Minsk Motor Plant (2015) Certificate BY 01 No 905/13 on Calibration of Measuring Channels of the Automated System of Commercial Accounting of Electric Energy of the “Minsk Motor Plant” JSC (in Russian).