Contributions to Power Grid System Analysis Based on Clustering Techniques-Reference-Cited by-同舟云学术

Contributions to Power Grid System Analysis Based on Clustering Techniques

Published:2023-02-08 Issue:4 Volume:23 Page:1895
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Grigoraș Gheorghe¹,Raboaca Maria Simona²³⁴^ORCID,Dumitrescu Catalin⁵^ORCID,Manea Daniela Lucia⁶,Mihaltan Traian Candin⁷,Niculescu Violeta-Carolina²^ORCID,Neagu Bogdan Constantin¹^ORCID

Affiliation:

1. Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania

2. National Research and Development Institute for Cryogenic and Isotopic Technologies—ICSI Rm. Vâlcea, Uzinei Street, No. 4, P.O. Box 7 Râureni, 240050 Ramnicu Valcea, Romania

3. Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, Romania

4. Doctoral School Polytechnic, University of Bucharest, 060042 Bucharest, Romania

5. Department Telematics and Electronics for Transports, University “Politehnica” of Bucharest, 060042 Bucharest, Romania

6. Faculty of Civil Engineering, Technical University of Cluj-Napoca, Constantin Daicoviciu Street, No. 15, 400020 Cluj-Napoca, Romania

7. Faculty of Building Services Engineering, Technical University of Cluj—Napoca, Bd. 21 Decembrie 1989, No. 128-130, 400604 Cluj-Napoca, Romania

Abstract

The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing high-performance electrical equipment and systems, telecommunications technologies, and computing and infrastructure based on artificial intelligence algorithms. The article presents contributions regarding the modeling of consumer classification and load profiling in electrical power networks and the efficiency of clustering techniques in their profiling as well as the simulation of the load of medium-voltage/low-voltage network distribution transformers to electricity meters.

Funder

“Gheorghe Asachi” Technical University of Iasi

UEFISCDI Romania

Europe research and innovation program

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/4/1895/pdf

Reference50 articles.

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