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Journals / Services in Russia and abroad / Volume 11 Issue 5 / MATHEMATICAL MODELS FOR MONITORING AND CONTROL OF ELECTRIC ENERGY CONSUMPTION WITH ACCOUNT OF THE SEASONAL FACTOR
CSCSTI 71.37

MATHEMATICAL MODELS FOR MONITORING AND CONTROL OF ELECTRIC ENERGY CONSUMPTION WITH ACCOUNT OF THE SEASONAL FACTOR

Published in Services in Russia and abroad · Volume 11, Issue 5 · Pages 133–140 · Rubric: SERVICEOLOGY: SCIENCE AND PRACTICE
DOI: https://doi.org/10.22412/1995-042X-11-5-12
Received: 04.08.2017 Accepted: 26.07.2023 Language of publication: RUS
Authors
SE
Sergey Lavrenchenko
LY
Lyudmila V. Zgonnik
IN
Inna Gladskaya
N
N. Politikova
ABSTRACT
The article proposes a method for predicting the daily energy consumption level for every day of a whole year, taking into account the season-al factor, based on only twelve actual power consumption data by the months of the year. Then a mathematical model is developed for moni-toring and controlling the level of electricity consumption on a daily basis, taking into account the seasonal factor. The model is consistent with a common model for the length of daylight (in hours). In addition, on the basis of this model, a method of monitoring and diagnostics of electricity consumption is presented, which will allow users to monitor the level of power consumption and be timely notified of any deviations from the theoretical level. Finally, this method gives rise to the operational principle for a proposed device, a smart energy meter, for detecting suspicious deviations from the theoretical level. The device will help timely detect over-consumption (or under-consumption) of electricity in order to take preventive measures. The proposed method consists of the following steps: (1) choice of a function to model the level of electricity consumption (theoretical calculated level), (2) choice of a tubular control neighborhood of the graph of the model function, (3) choice of a criterion on when the smart energy meter should notify the user of an unexpected deviation from the theoretical level in the case of exit from the tubular control neighborhood.
KEYWORDS
energy consumption monitoring, mathematical modeling, Fourier harmonics
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