Skip to main navigation Skip to search Skip to main content

Scheduler Modeling of Distributed Energy Resources for Providing Ancillary Services

  • National Laboratory of the Rockies
  • PNM Resources
  • GridBeyond

Research output: NLRPoster

Abstract

Distribution energy resources (DERs) have been integral components of modern power systems, and their capability to provide grid services has been widely studied. To promote the deployment of these resources in providing grid services in real-world utility operations, this paper proposes a day-ahead scheduler model for a distribution system connected DER plant. A certain amount of generation capacity of this DER plant is reserved for frequency services, and some ancillary services for the distribution system-including peak load reduction, voltage regulation, and power factor control-are integrated into the model. The model is tested on a real-world distribution system. From the simulation results, the energy and reserve schedule of the solar photovoltaic (PV) unit and battery energy storage system (BESS) can be determined, and voltage and power factor are well maintained. Additionally, in order to demonstrate the specific characteristics of the co-located and hybrid operation modes for the PV and BESS, these two modes are analyzed both theoretically and through real-time simulation. Simulation results show that most of PV's variability is transferred to the net power in the co-located mode, whereas it is transferred to the BESS in the hybrid mode. This proposed scheduler model and the comparison of co-located and hybrid modes can provide practical guidance for the applications of DER plant in the real-world utility.
Original languageAmerican English
PublisherNational Laboratory of the Rockies (NLR)
Number of pages1
DOIs
StatePublished - 2025

Publication series

NamePresented at the 2025 IEEE Power and Energy Society General Meeting, 27-31 July 2025, Austin, Texas

NLR Publication Number

  • NLR/PO-5D00-95476

Keywords

  • ancillary grid services
  • co-located and hybrid operation modes.
  • distributed energy resources
  • energy and reserve co-optimization

Fingerprint

Dive into the research topics of 'Scheduler Modeling of Distributed Energy Resources for Providing Ancillary Services'. Together they form a unique fingerprint.

Cite this