Wavelet transform algorithm of daily load graphs for choosing parameters of hybrid energy storage
The paper presents an algorithm for frequency decomposition of daily load graphs based on a discrete wavelet transform. This algorithm makes it possible to choose the optimal type of wavelet function, optimal level and wavelet decomposition tree. The inverse wavelet transform (recovery) along a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2020-12-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/6%20(174)/57-62%20%D0%90%D1%80%D1%85%D0%B8%D0%BF%D0%BE%D0%B2%D0%B0%20%D0%9E.%20%D0%92.,%20%D0%94%D0%BE%D0%BB%D0%B3%D0%B8%D1%85%20%D0%9D.%20%D0%9D.,%20%D0%94%D0%BE%D0%BB%D0%B8%D0%BD%D0%B3%D0%B5%D1%80%20%D0%A1.%20%D0%AE.%20%D0%B8%20%D0%B4%D1%80..pdf |
| Summary: | The paper presents an algorithm for frequency
decomposition of daily load graphs based on a discrete
wavelet transform. This algorithm makes it possible to
choose the optimal type of wavelet function, optimal
level and wavelet decomposition tree. The inverse
wavelet transform (recovery) along a single branch of
the approximating coefficient allows obtaining the lowfrequency component of the power graph for selecting the
optimal mode of the hybrid energy storage battery. The
detailing branch of the wavelet coefficients determines
the operating mode of the supercapacitor. A numerical
experiment is built on the basis of data obtained using
certified equipment. |
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| ISSN: | 1813-8225 2541-7541 |