The Estimation of the Influence of Household Appliances on the Power Quality in a Microgrid System

Vojtech Blazek, Michal Petruzela, Tomas Vantuch, Zdenek Slanina, Stanislav Mišák and Wojciech Walendziuk
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Vojtech Blazek: Department of Electrical Power Engineering, VSB Technical University of Ostrava, 17.listopadu 15, 70800 Ostrava, Czech Republic
Michal Petruzela: Department of Electrical Power Engineering, VSB Technical University of Ostrava, 17.listopadu 15, 70800 Ostrava, Czech Republic
Tomas Vantuch: CENTRE ENET at VŠB, VSB Technical University of Ostrava, 17.listopadu 15, 70800 Ostrava, Czech Republic
Zdenek Slanina: Department of Cybernetic and Biomedical Engineering, VSB Technical University of Ostrava, 17.listopadu 15, 70800 Ostrava, Czech Republic
Stanislav Mišák: Department of Electrical Power Engineering, VSB Technical University of Ostrava, 17.listopadu 15, 70800 Ostrava, Czech Republic
Wojciech Walendziuk: Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15351 Bialystok, Poland

Energies, 2020, vol. 13, issue 17, 1-21

Abstract: This article presents the analysis of the influence of household appliances on the quality of the energy consumed by the end-user. The results of the research, then, concern the final consumer (the lowest level of the power grid). The research was conducted on 120 combinations of electrical appliances connected into a grid. Each combination consisted of three devices working simultaneously in a micro-grid. The obtained and statistically analyzed data proved that there are several 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 total harmonic 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 quality deviation. This showed the most important features which should be considered while working out the prediction model. The future of smart grids resides in data analysis, predictive models and real-time optimization. One of the key characteristics is the reducing energy consumption generated by renewable energy sources. This phenomenon, namely looking for problems connected with sustainable power quality and their appropriate solution, is described in this article. We performed an 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 the predictive model utility.

Keywords: power quality; Off-Grid system; microgrid; t-SNE; clustering; renewable energy sources (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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