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TOPOLÁNEK, D.; KRČÁL, V.; FOLTÝN, L.; PRAKS, P.; VYSOCKÝ, J.; PRAKSOVÁ, R.; PRETTICO, G.; FULLI, G.
Original Title
Optimization method for short circuit current reduction in extensive meshed LV network
English Title
Type
WoS Article
Original Abstract
This paper focuses on the analysis of suitable optimization methods applied to large meshed low-voltage networks. The introduced methods aim to minimize the SC-current contribution by simultaneously fulfilling well-defined operational constraints. The high number of binary variables (134) used in the worst case to determine the possible network configurations generates 1040 possible solutions. For this reason, the paper focuses only on methods capable of reducing the necessary steady-state calculations to a tractable size. Depending on the case under study, the deterministic method turns to be faster than the other ones at the price of reaching only a local minimum. In contrast, if a longer computation time is tolerated, then evolutionary algorithms succeed in finding the global optimum.
English abstract
Keywords
Meshed network, optimization, short circuit, reconfiguration, distribution network, evolutionary algorithm
Key words in English
Authors
RIV year
2024
Released
10.05.2023
Publisher
Elsevier
Location
OXFORD
ISBN
0142-0615
Periodical
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume
152
Number
1
State
United Kingdom of Great Britain and Northern Ireland
Pages from
Pages to
10
Pages count
URL
https://www.sciencedirect.com/science/article/pii/S0142061523002600?via%3Dihub
Full text in the Digital Library
http://hdl.handle.net/11012/244943
BibTex
@article{BUT183445, author="David {Topolánek} and Vít {Krčál} and Ladislav {Foltýn} and Pavel {Praks} and Jan {Vysocký} and Renata {Praksová} and Giuseppe {Prettico} and Gianluca {Fulli}", title="Optimization method for short circuit current reduction in extensive meshed LV network", journal="INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS", year="2023", volume="152", number="1", pages="1--10", doi="10.1016/j.ijepes.2023.109203", issn="0142-0615", url="https://www.sciencedirect.com/science/article/pii/S0142061523002600?via%3Dihub" }
Documents
1-s2.0-S0142061523002600-main