ANALYSIS OF AUTOMATION STRATEGY FOR INTEGRATED CUSTOMER-ORIENTED SYSTEM VIA SMART DIGITAL NODES IN DISTRIBUTION TRANSFORMERS

There are many compelling justifications for the significance of MV/LV distribution transformers in facilitating customer-centric services in the next years. The integration of transformer-level intelligence has the potential to strengthen the characteristics of the low voltage (LV) grid management system, which is often lacking in automation. The transformer enables the use of advanced technologies such as local private networks and EDGE computing. The transformer plays a vital role in connecting the appliances of end consumers with the medium voltage grid. Typically, the location of the facility is in close proximity to the client inside a neighboring energy village. Transformer stations are thus ideal locations for the placement of batteries that facilitate the sustenance of the local energy community, bigger photovoltaic panel systems, and expedited charging apparatus. This article presents, use of Smart Digital Nodes (SDNs) as central nodes within the energy community, replacing the conventional MV/LV distribution transformers. This research is intended to provide a new digital service model at the distribution transformer level. A real-life scenarios are presented. Hence, the transformer station presents a very advantageous site for the integration of batteries, substantial photovoltaic (PV) panel sets, or rapid charging devices within the local energy community.

Authors

Institutions

Publication Details

Journal
Вестник КазАТК
Published
2024-09-09
DOI
https://doi.org/10.52167/1609-1817-2024-134-5-504-513
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF AUTOMATION STRATEGY FOR INTEGRATED CUSTOMER-ORIENTED SYSTEM VIA SMART DIGITAL NODES IN DISTRIBUTION TRANSFORMERS

E. T. Amitov, Irbulat T. Utepbergenov, Iouliia Skliarova, Adilbek Tazhibayev et al.
Вестник КазАТК
Smart Grid Energy Management
article

ANALYSIS OF AUTOMATION STRATEGY FOR INTEGRATED CUSTOMER-ORIENTED SYSTEM VIA SMART DIGITAL NODES IN DISTRIBUTION TRANSFORMERS

E. T. Amitov, Irbulat T. Utepbergenov, Iouliia Skliarova, Adilbek Tazhibayev, Galymzhan Kulakbayev
article en

Abstract

There are many compelling justifications for the significance of MV/LV distribution transformers in facilitating customer-centric services in the next years. The integration of transformer-level intelligence has the potential to strengthen the characteristics of the low voltage (LV) grid management system, which is often lacking in automation. The transformer enables the use of advanced technologies such as local private networks and EDGE computing. The transformer plays a vital role in connecting the appliances of end consumers with the medium voltage grid. Typically, the location of the facility is in close proximity to the client inside a neighboring energy village. Transformer stations are thus ideal locations for the placement of batteries that facilitate the sustenance of the local energy community, bigger photovoltaic panel systems, and expedited charging apparatus. This article presents, use of Smart Digital Nodes (SDNs) as central nodes within the energy community, replacing the conventional MV/LV distribution transformers. This research is intended to provide a new digital service model at the distribution transformer level. A real-life scenarios are presented. Hence, the transformer station presents a very advantageous site for the integration of batteries, substantial photovoltaic (PV) panel sets, or rapid charging devices within the local energy community.

Вестник КазАТКVol. 134(5)
NPO Energomash (Russia) (RU), Luxfer Group (United Kingdom) (GB), University of Aveiro (PT)
Affordable and clean energy
Openalex Percentile: Top 80%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.