Computational Analysis of a Comprehensive Solving Strategy of Large Power Grid Models
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221568" target="_blank" >RIV/68407700:21230/14:00221568 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Computational Analysis of a Comprehensive Solving Strategy of Large Power Grid Models
Popis výsledku v původním jazyce
Power grid simulation models are commonly used by transmission system operators (TSOs) to predict future power demand and production under various conditions. These models are often formulated using mixed integer linear programming and solved by state-of-the-art solvers. The rolling horizon optimization approach is commonly used to deal with large models with long simulation horizons. The simulation interval is divided into smaller horizons that are solved sequentially. The selected horizon length has asignificant influence to the solution quality and overall computational time. This influence is analysed on a series of annual Czech power grid simulations with different horizon lengths and optimal horizon length is selected. The recently developed andpublished efficient solving strategy that utilizes simplified power grid model with heuristic fixation reduced the overall computational time significantly. The heuristic parameters of this method are also subjects of a computational ana
Název v anglickém jazyce
Computational Analysis of a Comprehensive Solving Strategy of Large Power Grid Models
Popis výsledku anglicky
Power grid simulation models are commonly used by transmission system operators (TSOs) to predict future power demand and production under various conditions. These models are often formulated using mixed integer linear programming and solved by state-of-the-art solvers. The rolling horizon optimization approach is commonly used to deal with large models with long simulation horizons. The simulation interval is divided into smaller horizons that are solved sequentially. The selected horizon length has asignificant influence to the solution quality and overall computational time. This influence is analysed on a series of annual Czech power grid simulations with different horizon lengths and optimal horizon length is selected. The recently developed andpublished efficient solving strategy that utilizes simplified power grid model with heuristic fixation reduced the overall computational time significantly. The heuristic parameters of this method are also subjects of a computational ana
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/TE01020197" target="_blank" >TE01020197: Centrum aplikované kybernetiky 3</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
POSTER 2014 - 18th International Student Conference on Electrical Engineering
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
1-6
Název nakladatele
Czech Technical University
Místo vydání
Prague
Místo konání akce
Praha
Datum konání akce
15. 5. 2014
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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