IMPROVING THE ALGORITHM FOR DETERMINING THE EFFECT OF AIR TEMPERATURE ON THE OVERALL ELECTRICAL LOAD OF THE POWER SYSTEM TO IMPROVE THE ACCURACY OF SHORT-TERM FORECASTING-Reference-Cited by-同舟云学术

IMPROVING THE ALGORITHM FOR DETERMINING THE EFFECT OF AIR TEMPERATURE ON THE OVERALL ELECTRICAL LOAD OF THE POWER SYSTEM TO IMPROVE THE ACCURACY OF SHORT-TERM FORECASTING

Published:2021-02-23 Issue:2 Volume:2021 Page:77-83
ISSN:1607-7970
Container-title:Tekhnichna Elektrodynamika
language:
Short-container-title:Teh. elektrodin.

Author:

Chernenko P.O., ,Sychova V.V.,

Abstract

Based on the research, the article presents three algorithms that allow to select from the overall electrical load (OEL) of the power system technological and temperature components in each hour of the daily schedule, which provides greater accuracy of short-term forecasting (STF) OEL of the power system. Calculations by three algorithms were performed according to Kyivenerho. The analysis of reading temperature sensors on four sources from the point of view of possibility of their application at STF is carried out. References 6, figures 3, tables 3.

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference7 articles.

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3. 3. Zueva V.N. Regression methods for predicting the load graph of electrical equipment. Nauchnyj zhurnal Ku-banskogo gosudarstvennogo agrarnogo universiteta. 2017. No 126 (02). Pp. 1-12.

4. URL: http://ej.kubagro.ru/2017/02/pdf/08.pdf (accessed at 31.07.2020) (Rus)

5. 4. Chernenko P. O., Martinyuk O.V. Decomposition of the daily schedule of electrical load of the power system and modeling of its components during short-term forecasting. Visnyk Vinnytskoho politekhnichnoho instytutu. 2017. No 6. Pp. 86-94. URL: http://nbuv.gov.ua/UJRN/vvpi_2017_6_15. (accessed at 30.07.2020) (Ukr)

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