UNIV. NEWS. NORTH-CAUCAS. REG. TECHNICAL SCIENCES SERIES. 2016; 4: 46-50
http://dx.doi.org/10.17213/0321-2653-2016-4-46-50
ANALYSIS INTERRELATIONSHIP PRINCIPAL COMPONENT ORTHOGONAL TRANSFORMATION WITH FORMAT DAILY GRAPHIC CHART ELECTRICAL LOAD
Nadtoka Ivan Ivanovich –Doctor of Technical Sciences, professor, head of department «Power Supply of Industrial Enterprises and Cities». Platov South-Russian State Polytechnic University (NPI), Novocherkassk, Russia. Ph. (863)22-55-650. Е-mail: ii_nadtoka@mail.ru
Makhmaddzhonov Firuz Dodardzhonovich – Assistant of Department «Power Electrical Station» Tajik Technical University, Dushanbe, Tajikistan, Ph. (+992) 232-46-51. E-mail: firuz_7773@mail.ru
Abstract
In article described results of analysis interrelationship principal component orthogonal transformation with format analyze daily graphic chart electrical load as an example of maximum load of north parts power system of republic of Tajikistan. Showed which mode interrelationship be a function of style of matrix former readings (centered or uncentered). For uncentering graphic day power, first component connecting with magnitude medium in advance of day implication graphic chart load. Second and third component - with ordinate under singular time slice maximum daily graphic chart of power system (morning and evening maximums, daily and night delivery hours). For centered date are denominate provide interrelationship with ordinate daily graphic chart for first and second component and in smaller level for third components. Finded dependency can use for boosting accuracy long-term forecasting maximum load power system.
Keywords: daily graphic chart load; power system; method principal component; orthogonal transformation.
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