Application of Statistical Methods in the Organization of Selective Control of the Quality Indicators of Electric Energy in the Power Supply Networks of Industrial Enterprises.

Autor: Kulikov, A. L., Ilyushin, P. V., Sevostyanov, A. A.
Zdroj: Power Technology & Engineering; May2022, Vol. 56 Issue 1, p137-145, 9p
Abstrakt: Integrating renewable energy and diverse active consumers into distribution networks causes electric power quality indicators (EPQI) to deviate from their standard values. In the industrial setting, production lines and distributed generation facilities adopted are susceptible to voltage dips and interruptions to non-sinusoidal voltage and current, which means that EPQIs at the ownership demarcation point must remain at any network operating mode to be maintained. For this purpose, industrial facilities implement systems for continuous or selective monitoring of EPQIs. This paper demonstrates the effectiveness of using statistical methods in EPQI monitoring systems for selective control of EPQIs and a quantitative characteristic with exponentially distributed deviations in specific indicators. It further presents the algorithm of the developed quantitative characteristic-based EPQI analyzer, which obtains data from the EPQI monitoring system equipped with EPQI control instrumentation. Calculations showed that Wald's sequential analysis is effective for selective EPQI monitoring and can triple the performance of decision-making algorithms that compute deviations in certain parameters compared to a fixed sample. A generated database of simulation modeling and tracking of the current operating modes of the network ensures adaptation of the monitoring process and selective control of EPQI to the needs of the specific facility's internal power supply network. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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