An Appliance Impact Estimation on Power Quality Parameters in Microgrid Environment
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246015" target="_blank" >RIV/61989100:27240/20:10246015 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27730/20:10246015
Výsledek na webu
<a href="https://www.mdpi.com/2504-3900/51/1/22" target="_blank" >https://www.mdpi.com/2504-3900/51/1/22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/proceedings2020051022" target="_blank" >10.3390/proceedings2020051022</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An Appliance Impact Estimation on Power Quality Parameters in Microgrid Environment
Popis výsledku v původním jazyce
Nowadays Off-Grid systems driven by intelligent data analysis, predictive models and real-time optimizations are frequently entitled as Smart Grids. They represent a future step in a sustainable energy supply for applications at various scales, from small household configurations to the systems operating on a scale of larger areas, especially parts of a town or village. One of the key characteristics of such systems is the lower short-circuit power caused by a lower and mostly stochastic nature of their power source, which is represented by a renewable energy source. This phenomenon directly implies the difficulties of sustainable power quality (PQ). Our paper presents an analysis on the lowest possible level, where the impact of household appliances is examined towards a specific kind of response due to PQ parameter variation. The analysis was performed on 120 combinations of appliances. Each combination consisted of three appliances running simultaneously in the microgrid. The measured data were subjected to a statistical analysis. This analysis finds there are several kinds of appliances we need to focus on, in order to express the PQ parameter change of a given parameter. The results show that the microwave, AC heating and dril appliances had a high impact on the total harmonic distortion of voltage (THDV) disturbance. The microwave, AC heating and mower had the highest impact on the total harmonic frequency (FREQ) and the power factor (PF). For the sake of completeness, specific features of the given appliances were examined as for their relevance to the PQ disturbance, which revealed the most relevant features to be taken into account during the evelopment of a predictive model.
Název v anglickém jazyce
An Appliance Impact Estimation on Power Quality Parameters in Microgrid Environment
Popis výsledku anglicky
Nowadays Off-Grid systems driven by intelligent data analysis, predictive models and real-time optimizations are frequently entitled as Smart Grids. They represent a future step in a sustainable energy supply for applications at various scales, from small household configurations to the systems operating on a scale of larger areas, especially parts of a town or village. One of the key characteristics of such systems is the lower short-circuit power caused by a lower and mostly stochastic nature of their power source, which is represented by a renewable energy source. This phenomenon directly implies the difficulties of sustainable power quality (PQ). Our paper presents an analysis on the lowest possible level, where the impact of household appliances is examined towards a specific kind of response due to PQ parameter variation. The analysis was performed on 120 combinations of appliances. Each combination consisted of three appliances running simultaneously in the microgrid. The measured data were subjected to a statistical analysis. This analysis finds there are several kinds of appliances we need to focus on, in order to express the PQ parameter change of a given parameter. The results show that the microwave, AC heating and dril appliances had a high impact on the total harmonic distortion of voltage (THDV) disturbance. The microwave, AC heating and mower had the highest impact on the total harmonic frequency (FREQ) and the power factor (PF). For the sake of completeness, specific features of the given appliances were examined as for their relevance to the PQ disturbance, which revealed the most relevant features to be taken into account during the evelopment of a predictive model.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20200 - Electrical engineering, Electronic engineering, Information engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
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
The 9th Innovations-Sustainability-Modernity-Openness Conference (ISMO’20) : proceedings : Bialystok, Poland, 20–21 May 2020
ISBN
—
ISSN
2504-3900
e-ISSN
—
Počet stran výsledku
4
Strana od-do
1-4
Název nakladatele
MDPI Open Access Publishing
Místo vydání
Basilej
Místo konání akce
Bělostok
Datum konání akce
20. 5. 2020
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—