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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