Prediction and analysis of power consumption and power loss at industrial facilities

Abstract

THE PURPOSE. Conduct a study to improve the reliability of forecasting the magnitude of power consumption and power losses at an industrial enterprise.METHODS. Methods are used to determine and predict the parameters of consumption and losses of electricity at industrial facilities.RESULTS. To clarify the magnitude of electricity losses, it is proposed to use coefficients that take into account the type of load curves and show the ratio of the values of the sum of the squares of currents (powers) of the variable load curve and the values of the sum of average currents (powers), that is. the ratio of power losses during load operation according to variable and uniform schedules (Kgraph), as well as a coefficient that takes into account the topology of the circuit (Ktop). The study of radial and main circuits of networks was carried out and the losses of electricity were determined using the proposed coefficients. The values of equivalent resistances of shop circuits of networks of various topologies are calculated. The operational data of the section of the workshop network are given. It was revealed that with a constant technological process, an increase in the equivalent resistance of the network circuit is due to an increase in the resistance of the contacts of switching devices installed on the lines. The value of the estimated supply of electricity was determined using the parameter of the average value of the equivalent resistance. At the same time, the error in calculating the estimated supply in relation to the actual annual supply of electricity amounted to 2,63%. According to the retrospective values of the average equivalent resistance of the circuit, it is possible to determine the predicted value of this parameter using the average value of the coefficient of change in the equivalent resistance. These characteristics of the scheme are recommended to be used in the assessment and forecasting of losses and the estimated supply of electricity, which will increase the reliability of the predicted parameters for industrial facilities.

Influence of the type of load graphs on the service life transformers 33/11 Kv at substation "Kabun-1" (Syrian Arab Republic)

“…М P [1] is the daily average value of the active load approximation graph in the first approximation;…”

“…2 shows: 1. Arguments of approximating functions of daily active loads of transformers in the first approximation with a period T [1] = 24 h and frequency ≃0.25 1/h.…”

“…Table 2 Arguments and estimation of the error of the approximation function (first approximation) В Р [1] -А Р [1] cos(0.25t) of daily graphs of active power of loads of 36 transformers Arguments function  [1] (t) approximations in the first approximation…”

“…The authors E. Yu. Abdullazyanov, E. I. Gracheva, A. Alzakkar [1] presented a study that makes it possible to increase the reliability of predicting the magnitude of power consumption and power losses at industrial enterprises. At the same time, it is proposed to use the dynamics of changes in the value of the equivalent resistance of intra-factory power supply networks, which will make it possible to control the modes of electricity consumption and make adjustments to the forecasting processes.…”

Analysis and study of power consumption of objects in the industrial zone of Adra-Syria

“…Так, авторами Абдуллазяновым Э.Ю., Грачевой Е. И., Альзаккаром А., Низамиевым М.Ф., Шумихиной О.А., Valtchev S. [1] представлено исследование, позволяющее повысить достоверность прогнозирования величины электропотребления и потерь электроэнергии на промышленных предприятиях. При этом предлагается использовать динамику изменения величины эквивалентного сопротивления внутризаводских сетей электроснабжения, что позволит управлять режимами расхода электроэнергии и вносить корректировки в процессы прогнозирования.…”