Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty

Obed N. Onsomu (), Erman Terciyanlı and Bülent Yeşilata
Additional contact information
Obed N. Onsomu: Energy Systems Engineering, Ankara Yildirim Beyazıt University, Ankara 06090, Turkey
Erman Terciyanlı: Research and Development, INAVITAS, Ankara 06090, Turkey
Bülent Yeşilata: Energy Systems Engineering, Ankara Yildirim Beyazıt University, Ankara 06090, Turkey

Energies, 2025, vol. 18, issue 15, 1-27

Abstract: The varying characteristics of grid-connected energy resources necessitate a clear and effective approach for managing and scheduling generation units. Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. As a result, conventional power sources require an advanced management system, for instance, a virtual power plant (VPP), capable of accurately monitoring power supply and demand. This study thoroughly explores the dispatch of battery energy storage systems (BESSs) and diesel generators (DGs) through a distributionally robust joint chance-constrained optimization (DR-JCCO) framework utilizing the conditional value at risk (CVaR) and heuristic-X (H-X) algorithm, structured as a bilevel optimization problem. Furthermore, Binomial expansion (BE) is employed to linearize the model, enabling the assessment of BESS dispatch through a mathematical program with equilibrium constraints (MPECs). The findings confirm the effectiveness of the DRO-CVaR and H-X methods in dispatching grid network resources and BE under the MPEC framework.

Keywords: optimal dispatch; battery energy storage system; virtual power plant; diesel generator; management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/15/4012/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/15/4012/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:15:p:4012-:d:1711828

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().