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

被引：14

作者：

Blazek, Vojtech ^{[1
,2
]}

Petruzela, Michal ^{[1
,2
]}

Vantuch, Tomas ^{[2
,3
]}

Slanina, Zdenek ^{[4
]}

Misak, Stanislav ^{[1
,2
]}

Walendziuk, Wojciech ^{[5
]}

机构：

[1] VSB Tech Univ Ostrava, Dept Elect Power Engn, 17 Listopadu 15, Ostrava 70800, Czech Republic

[2] VSB Tech Univ Ostrava, Ctr ENET, VSB, 17 Listopadu 15, Ostrava 70800, Czech Republic

[3] VSB Tech Univ Ostrava, Dept Comp Sci, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava 70800, Czech Republic

[4] VSB Tech Univ Ostrava, Dept Cybernet & Biomed Engn, 17 Listopadu 15, Ostrava 70800, Czech Republic

[5] Bialystok Tech Univ, Fac Elect Engn, Wiejska 45D, PL-15351 Bialystok, Poland

来源：

ENERGIES | 2020年 / 13卷 / 17期

关键词：

power quality; Off-Grid system; microgrid; t-SNE; clustering; renewable energy sources; CLASSIFICATION; ALGORITHM;

D O I：

10.3390/en13174323

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：19

共 44 条

[1]

[Anonymous], 2009, World Academy of Science Engineering and Technology

[2] Power quality event characterization using support vector machine and optimization using advanced immune algorithm [J].

Biswal, B. ;

Biswal, M. K. ;

Dash, P. K. ;

Mishra, S. .

NEUROCOMPUTING, 2013, 103 :75-86

[3]

British Standards Institution DECC UK Office for National Statistic Met Office UK Voltage characteristics of electricity supplied by public distribution systems, 2010, WHETHER CLIM CHANG, V1, P1

[4]

Broshi A., 2007, P 9 INT C EL POW QUA

[5] Hierarchical k-Nearest Neighbor with GPUs and a High Performance Cluster: Application to Handwritten Character Recognition [J].