A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022314" target="_blank" >RIV/62690094:18450/25:50022314 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2590123025005985?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590123025005985?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rineng.2025.104521" target="_blank" >10.1016/j.rineng.2025.104521</a>

Result language

angličtina

Original language name

A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries

Original language description

The idea of Distribution Networks (DNs) is being developed to automate networks and better integrate renewable energy sources. To do this, the DNs integrate energy storage systems with Distributed Generating Units (DGs). This research report attempts to accomplish too many goals at once. In order to reduce MGs&apos; reliance on the main grid, this study first proposes a smart charging method for PHEVs that maximizes the utilization of RERs and DERs while minimizing the amount of energy taken from the main grid. Second, the issue of how to best operate lithium-ion batteries to raise the technical, financial, and environmental indices of both independent and gridconnected distribution networks is addressed in this work. Thirdly, this paper proposes an optimization technique based on the Mountain Gazelle Optimizer (MGO), Improved Beluga Whale Optimization (IBWO), and Arithmetic Optimization Algorithm (AOA) for determining the optimal DGs in radial distribution systems. The effectiveness of the suggested framework is tested on IEEE 33-bus and IEEE 85-bus systems, and the findings demonstrate that, in spite of the complexity that arises from changing situations, the model offers an effective restoration solution. The proposed method finds reductions of about 6.83 % in power losses using AOA, reductions of about 17.92 % in power losses using IBWO, reductions of about 22.69 % in power losses and reductions of about 25.43 % in CO2 emissions using MGO, when compared to the benchmark case in the IEEE 33bus network. whereas the proposed method finds reductions of about 1.31 % in power losses using AOA, reductions of about 15.85 % in power losses using IBWO, reductions of about 19.48 % in power losses and reductions of about 23.27 % in CO2 emissions using MGO, when compared to the benchmark case in the IEEE 85bus network.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Results in engineering

ISSN

2590-1230

e-ISSN

2590-1230

Volume of the periodical

25

Issue of the periodical within the volume

March

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

18

Pages from-to

"Article Number: 104521"

UT code for WoS article

001444941100001

EID of the result in the Scopus database

2-s2.0-86000361891