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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