OPF solution for a real Czech urban meshed distribution network using a genetic algorithm
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10247583" target="_blank" >RIV/61989100:27240/21:10247583 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27730/21:10247583 RIV/61989100:27740/21:10247583
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
OPF solution for a real Czech urban meshed distribution network using a genetic algorithm
Popis výsledku v původním jazyce
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' 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.
Název v anglickém jazyce
OPF solution for a real Czech urban meshed distribution network using a genetic algorithm
Popis výsledku anglicky
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' 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Sustainable Energy Grids & Networks
ISSN
2352-4677
e-ISSN
2352-4677
Svazek periodika
26
Číslo periodika v rámci svazku
June
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
nestrankovano
Kód UT WoS článku
000645076400018
EID výsledku v databázi Scopus
2-s2.0-85100251040