Subsystem of sample processing of active and reactive power of transformer substation
DOI:
https://doi.org/10.15588/1607-6761-2021-2-3Keywords:
active power; reactive power; normal distribution; excess; asymmetry; mathematical expectation; standard deviationAbstract
Purpose. Apply statistical analysis to the volumetric samples of electricity consumption parameters to reduce the amount of network node capacity that will be stored.
Methodology. Using the statistical data methods processing in the graphical programming system LabVIEW.
Findings. Electricity is one of the energy types, the generation volume, transportation, distribution and use of which is constantly growing. At all these stages, the control of the change rate parameters of electrical energy – power occurs. Power is characterized by certain parameters that are subject to continuous monitoring. The change capacity in the conditions of industrial enterprises has a complex character with certain stochastic components. The need to record detailed information causes an increase in the data amount to be stored. As a result, there is a processing data problem on electric energy volumes and electric power parameters with reduction data volume and informativeness preservation. Based on the statistical normal distribution concept, in the graphical programming environment the data processing subsystem on sampling intervals of active and reactive powers of low voltage section the step-down substation is constructed. Using the indicators of the characteristics of the normal distribution of active and reactive power, the analysis of their semi-daily samples was performed. Selected intervals at which the indicators of normal distribution differ significantly, which allowed to form conclusions about the presence of modes close to idling Originality. It is established that due to the difficulty covering long time periods under the fixing condition data on electric power parameters, there is a dilemma regarding the resulting information amount and its detailing, to avoid information loss, a procedure based on the law of normal data sampling is the resulting data to be stored, with the possibility recording significant deviations in terms of excess and sample asymmetry.
Practical value. Applying the proposed method in the monitoring system for long-term monitoring electrical power parameters, it is possible to reduce significantly the amount of data during the transmission basic information, power level and range, and, if necessary, use additional information about changes in observation intervals expressed through excess and asymmetry.
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Copyright (c) 2021 Oleg Todorov , Oleksiy Bialobrzheskyi , Igor Reva, Maksym Bezzub
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