OPF solution for a real Czech urban meshed distribution network using a genetic algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10247583" target="_blank" >RIV/61989100:27740/21:10247583 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/21:10247583 RIV/61989100:27240/21:10247583

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2352467721000084?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352467721000084?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.segan.2021.100437" target="_blank" >10.1016/j.segan.2021.100437</a>

Result language

angličtina

Original language name

OPF solution for a real Czech urban meshed distribution network using a genetic algorithm

Original language description

Electrical distribution networks are facing an energy transition which entails an increase of decentralised renewable energy sources and electric vehicles. The resulting temporal and spatial uncertainty in the generation/load patterns challenges the operations of an infrastructure not designed for such a transition. In this situation, Optimal Power Flow methods can play a key role in identifying system weak points and supporting efficient management of the electrical networks, including the distribution level. In this work, to support distribution system operators&apos; decision-making process, we aim at attaining a quasi-optimal solution in the shortest time possible in an electrical network experiencing a large growth of distributed energy sources. We propose an optimisation method based on a modified version of a genetic algorithm and the Python pandapower package. The method is tested on a model of a real urban meshed network of a large Czech city. The optimisation method minimises the total operating costs of the distribution network by controlling selected network components and parameters, namely the transformer tap changers and the active power demand at consumption nodes. The results of our method are compared with the exact solution showing that a close-to-optimal solution of the observed problem can be reached in a relatively short time.

Czech name

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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

20201 - Electrical and electronic engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

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

Name of the periodical

Sustainable Energy Grids &amp; Networks

ISSN

2352-4677

e-ISSN

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Volume of the periodical

26

Issue of the periodical within the volume

June

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

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UT code for WoS article

000645076400018

EID of the result in the Scopus database

2-s2.0-85100251040