Multi-Objective Real-Time Tuning of SVC Used in Electrified Traction Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50020136" target="_blank" >RIV/62690094:18470/22:50020136 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/22/4/1584" target="_blank" >https://www.mdpi.com/1424-8220/22/4/1584</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22041584" target="_blank" >10.3390/s22041584</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Objective Real-Time Tuning of SVC Used in Electrified Traction Systems
Original language description
Electric train system is a very large load for the power network. This load consumes a large amount of reactive power. In addition, it causes a massive unbalance to the network, which results in many problems such as voltage drops, high transmission losses, reduction in the transformer output ability, negative sequence current, mal-operation of protective relays, etc. In this paper, a novel real-time optimization approach is presented to adjust the static VAR compensator (SVC) for the traction system to realize two objectives; current unbalance reduction and reactive power compensation. A multi-objective optimization technique entitled non-dominated sorting genetic algorithm (NSGA-II) is used to fulfill the regarded objectives simultaneously. A comprehensive simulator has been designed for electric train network modeling that is able to adjust the parameters of SVC in an optimum manner at any time and under any circumstances. The results illustrate that the provided method can efficiently reduce the unbalancing in current as well as supply the demanded reactive power with acceptable precision.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
1424-8220
Volume of the periodical
22
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
18
Pages from-to
"Article Number: 1584"
UT code for WoS article
000771468100001
EID of the result in the Scopus database
2-s2.0-85125277552