Distributed method for Economic Dispatch Problem with a battery system and a variable fuel price

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969566" target="_blank" >RIV/49777513:23520/23:43969566 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ETFA54631.2023.10275585" target="_blank" >https://doi.org/10.1109/ETFA54631.2023.10275585</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ETFA54631.2023.10275585" target="_blank" >10.1109/ETFA54631.2023.10275585</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed method for Economic Dispatch Problem with a battery system and a variable fuel price

Popis výsledku v původním jazyce

The distribution of the required load across all generators in power networks has given rise to methods solving the Economic Dispatch Problem (EDP). The main goal of themethod is to find such a power distribution that the resulting price per unit of energy is minimal. Due to dynamic changes in the structure of the energy network is there currently a shift away from centralized management towards decentralized methods. In this paper, a gradient-based distributed algorithm is introduced. In proposed framework, models for Battery Energy Storage System (BESS) and variable fuel price are used. The BESS model allows energy to be stored or fed back into the grid, which can affect the final price per unit of energy. Dynamical behaviour of BESS effects final price per energy of generator units. This is equally related to the price of fuel, which can represent a change in the price of energy from the given source - the power plant. The described algorithm is subsequently validated on three examples.

Název v anglickém jazyce

Distributed method for Economic Dispatch Problem with a battery system and a variable fuel price

Popis výsledku anglicky

The distribution of the required load across all generators in power networks has given rise to methods solving the Economic Dispatch Problem (EDP). The main goal of themethod is to find such a power distribution that the resulting price per unit of energy is minimal. Due to dynamic changes in the structure of the energy network is there currently a shift away from centralized management towards decentralized methods. In this paper, a gradient-based distributed algorithm is introduced. In proposed framework, models for Battery Energy Storage System (BESS) and variable fuel price are used. The BESS model allows energy to be stored or fed back into the grid, which can affect the final price per unit of energy. Dynamical behaviour of BESS effects final price per energy of generator units. This is equally related to the price of fuel, which can represent a change in the price of energy from the given source - the power plant. The described algorithm is subsequently validated on three examples.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/9A22007" target="_blank" >9A22007: Optimization of Electric Vehicle Autonomy</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

ISBN

979-8-3503-3991-8

ISSN

1946-0740

e-ISSN

1946-0759

Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Sinaia

Datum konání akce

12. 9. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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