Distributed method for Economic Dispatch Problem with the representation of renewable resources

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969567" target="_blank" >RIV/49777513:23520/23:43969567 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/PC58330.2023.10217534" target="_blank" >https://doi.org/10.1109/PC58330.2023.10217534</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PC58330.2023.10217534" target="_blank" >10.1109/PC58330.2023.10217534</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed method for Economic Dispatch Problem with the representation of renewable resources

Popis výsledku v původním jazyce

The need to cover the required load across the power grid as efficiently as possible has led to the development of methods for solving a task known as the Economic DispatchProblem (EDP). As the possible number of agents in the network grew, so did the modularity of the entire network, the dynamic changes in its topology were occurring more and more often. This fact led to the development of decentralized methods. In this paper, a gradient distributed algorithm is introduced where models for solar and wind power plants are used. They are also incorporated into the algorithm. They are utilized for recalculation from weather data, specifically the power of the wind and the power of sunlight, to the provided energy output. Power plants based on renewable sources are hence considered in the representation of the given network topology. The described algorithm is ubsequently validated on two examples.

Název v anglickém jazyce

Distributed method for Economic Dispatch Problem with the representation of renewable resources

Popis výsledku anglicky

The need to cover the required load across the power grid as efficiently as possible has led to the development of methods for solving a task known as the Economic DispatchProblem (EDP). As the possible number of agents in the network grew, so did the modularity of the entire network, the dynamic changes in its topology were occurring more and more often. This fact led to the development of decentralized methods. In this paper, a gradient distributed algorithm is introduced where models for solar and wind power plants are used. They are also incorporated into the algorithm. They are utilized for recalculation from weather data, specifically the power of the wind and the power of sunlight, to the provided energy output. Power plants based on renewable sources are hence considered in the representation of the given network topology. The described algorithm is ubsequently validated on two examples.

Druh

D - Stať ve sborníku

CEP obor

—

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

2023 24th International Conference on Process Control (PC)

ISBN

979-8-3503-4763-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

150-155

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Strbske Pleso, Slovakia

Datum konání akce

6. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001058530100026