Smart control system based on power quality parameter short-term forecasting
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F20%3A10246982" target="_blank" >RIV/61989100:27730/20:10246982 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9269249" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9269249</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE51172.2020.9269249" target="_blank" >10.1109/EPE51172.2020.9269249</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Smart control system based on power quality parameter short-term forecasting
Popis výsledku v původním jazyce
Smart control systems (SCS) are needed to control power grid systems to keep the generated power compliant with the consumed power, and to ensure power quality parameters. The main purpose of the design and use of smart control systems is to reduce the cost of power generation, while generating power of a good quality. In general, when designing a smart control system, we should deal with two main steps- forecasting the power quality parameters, and shifting the load. This research contributes towards good function of SCS. In this study, using a decision tree, five forecasting models were designed incorporating the power quality parameters, such as power frequency forecasting, magnitude of the supply voltage, total harmonic distortion of voltage, total harmonic distortion of current, and short term flicker severity forecasting according to the definition in [EN 50160]. The output of these five models can be used to shift the load to run in switch time, which will meet the generated power. This task will contribute to keeping power quality parameters within the standard levels. (C) 2020 IEEE.
Název v anglickém jazyce
Smart control system based on power quality parameter short-term forecasting
Popis výsledku anglicky
Smart control systems (SCS) are needed to control power grid systems to keep the generated power compliant with the consumed power, and to ensure power quality parameters. The main purpose of the design and use of smart control systems is to reduce the cost of power generation, while generating power of a good quality. In general, when designing a smart control system, we should deal with two main steps- forecasting the power quality parameters, and shifting the load. This research contributes towards good function of SCS. In this study, using a decision tree, five forecasting models were designed incorporating the power quality parameters, such as power frequency forecasting, magnitude of the supply voltage, total harmonic distortion of voltage, total harmonic distortion of current, and short term flicker severity forecasting according to the definition in [EN 50160]. The output of these five models can be used to shift the load to run in switch time, which will meet the generated power. This task will contribute to keeping power quality parameters within the standard levels. (C) 2020 IEEE.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2020 21st International Scientific Conference on Electric Power Engineering (EPE) : conference proceedings : 19-21 October 2020, Prague, Czech Republic
ISBN
978-1-72819-480-6
ISSN
2376-5623
e-ISSN
—
Počet stran výsledku
5
Strana od-do
—
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Praha
Datum konání akce
19. 10. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—