Stand-alone Hybrid Power Plant for Ancillary Services Provision
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00377142" target="_blank" >RIV/68407700:21730/24:00377142 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21220/24:00377142 RIV/68407700:21230/24:00377142
Result on the web
<a href="https://doi.org/10.1109/EPE61521.2024.10559520" target="_blank" >https://doi.org/10.1109/EPE61521.2024.10559520</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE61521.2024.10559520" target="_blank" >10.1109/EPE61521.2024.10559520</a>
Alternative languages
Result language
angličtina
Original language name
Stand-alone Hybrid Power Plant for Ancillary Services Provision
Original language description
Changes in the generation mix will increase fluctuation of power balance in energy systems and simultaneously will decrease available resources of Ancillary services (AnS) to stabilize those fluctuations. Renewable resources (RES) are not primarily designed to provide AnS. Thus, alternative AnS resources has to be found or built to prevent a shortfall in available AnS capacities. An ideal AnS provider is independent on internal or external circumstances and provides services with high availability and reliability. Such requirements may fulfill a stand-alone hybrid powerplant designed as virtual power plant (VPP) only for AnS provision, comprised of battery energy storage system (BESS) and small spinning generators. The generators are stopped and ready to start when there is no significant demand for AnS, which challenges operation of the power plant: the service demand is unknown in term of activation time and required power, optimal scheduling of generator operation (up-time) is crucial both for cost efficiency and service provision quality. Robust control algorithm is introduced in this paper using rolling time window, demand interpreter, scheduling module and real time power adjustment module.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TK04020051" target="_blank" >TK04020051: Algorithms for operational planning and real time control of the Hybrid source of Ancillary services (Energy nest)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2024 24th International Scientific Conference on Electric Power Engineering (EPE)
ISBN
979-8-3503-4877-4
ISSN
2376-5623
e-ISSN
2376-5631
Number of pages
6
Pages from-to
17-22
Publisher name
VSB - Technical University of Ostrava (TUO)
Place of publication
—
Event location
Kouty nad Desnou
Event date
May 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001261334000015