Solar and Wind Quantity 24 h-Series Prediction Using PDE-Modular Models Gradually Developed According to Spatial Pattern Similarity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10251265" target="_blank" >RIV/61989100:27240/23:10251265 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/1996-1073/13/17/4323" target="_blank" >https://www.mdpi.com/1996-1073/13/17/4323</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/en13174323" target="_blank" >10.3390/en13174323</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Solar and Wind Quantity 24 h-Series Prediction Using PDE-Modular Models Gradually Developed According to Spatial Pattern Similarity

Popis výsledku v původním jazyce

This article presents the analysis of the influence of household appliances on the qualityof the energy consumed by the end-user. The results of the research, then, concern the finalconsumer (the lowest level of the power grid). The research was conducted on 120 combinations ofelectrical appliances connected into a grid. Each combination consisted of three devices workingsimultaneously in a micro-grid. The obtained and statistically analyzed data proved that there areseveral types of appliances that have a great influence on the power quality (PQ) parameters changes.The results of the conducted experiments indicate the devices which influenced significantly the totalharmonic distortion of voltage (THDV), the voltage frequency (FREQ) and the voltage fluctuation (V).Specific features of particular devices were examined in terms of their significance for the power qualitydeviation. This showed the most important features which should be considered while workingout the prediction model. The future of smart grids resides in data analysis, predictive models andreal-time optimization. One of the key characteristics is the reducing energy consumption generatedby renewable energy sources. This phenomenon, namely looking for problems connected withsustainable power quality and their appropriate solution, is described in this article. We performedan extended analysis of the smart home appliances influence of individual quantities on a real model.Furthermore, we explored devices with a high impact on chosen power quality indicators. In the end,we discuss their specific behavior and relevance to the above-described phenomenon to improve thepredictive model utility.

Název v anglickém jazyce

Solar and Wind Quantity 24 h-Series Prediction Using PDE-Modular Models Gradually Developed According to Spatial Pattern Similarity

Popis výsledku anglicky

This article presents the analysis of the influence of household appliances on the qualityof the energy consumed by the end-user. The results of the research, then, concern the finalconsumer (the lowest level of the power grid). The research was conducted on 120 combinations ofelectrical appliances connected into a grid. Each combination consisted of three devices workingsimultaneously in a micro-grid. The obtained and statistically analyzed data proved that there areseveral types of appliances that have a great influence on the power quality (PQ) parameters changes.The results of the conducted experiments indicate the devices which influenced significantly the totalharmonic distortion of voltage (THDV), the voltage frequency (FREQ) and the voltage fluctuation (V).Specific features of particular devices were examined in terms of their significance for the power qualitydeviation. This showed the most important features which should be considered while workingout the prediction model. The future of smart grids resides in data analysis, predictive models andreal-time optimization. One of the key characteristics is the reducing energy consumption generatedby renewable energy sources. This phenomenon, namely looking for problems connected withsustainable power quality and their appropriate solution, is described in this article. We performedan extended analysis of the smart home appliances influence of individual quantities on a real model.Furthermore, we explored devices with a high impact on chosen power quality indicators. In the end,we discuss their specific behavior and relevance to the above-described phenomenon to improve thepredictive model utility.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Energies

ISSN

1996-1073

e-ISSN

1996-1073

Svazek periodika

16

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

19

Strana od-do

1-19

Kód UT WoS článku

000932573800001

EID výsledku v databázi Scopus

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