Distributed method for Economic Dispatch Problem with the representation of renewable resources
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Distributed method for Economic Dispatch Problem with the representation of renewable resources
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/9A22007" target="_blank" >9A22007: Optimization of Electric Vehicle Autonomy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 24th International Conference on Process Control (PC)
ISBN
979-8-3503-4763-0
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
150-155
Publisher name
IEEE
Place of publication
New York
Event location
Strbske Pleso, Slovakia
Event date
Jun 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001058530100026