Enabling Behind-the-Meter Distributed Energy Resources to Provide Grid Services

  • Alex Magerko
  • , Aminul Huque
  • , Tanguy Hubert
  • , Andres Cortes
  • , Ryan May

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

As part of the DOE SHINES program, EPRI presents the objectives, design, modeling results, and field tests/experiences from their DER management system (DERMS). The DERMS uses model predictive control with a combination of static and forecasted inputs (including forecasted solar) to coordinate controllable loads, battery charging/discharging, and PV generation. When applied to a two-house residential system, local load control (consisting of pool pumps, water heaters, and HVAC systems) is shown to potentially reduce power and energy capacity requirements for the battery while still achieving system-level power import and export constraints. At the same time, the controller is shown to reduce battery cycling and provide a financial incentive to the customer by optimizing load usage according to tiered time of use rates.

Original languageEnglish
Title of host publication2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2064-2071
Number of pages8
ISBN (Electronic)9781728104942
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes
Event46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States
Duration: 16 Jun 201921 Jun 2019

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)0160-8371

Conference

Conference46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/TerritoryUnited States
CityChicago
Period16/06/1921/06/19

Keywords

  • DER grid services
  • DER management system (DERMS)
  • Model Predictive Control (MPC)
  • battery energy storage
  • flexible loads
  • integrated DER
  • solar photovoltaic (PV)

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