Community-Based Transactive Coordination Mechanism for Enabling Grid-Edge Systems

The changing landscape of the electricity industry, characterized by a surge in distributed energy resources (DERs) and proactive customers, necessitates practical solutions for coordinated operation especially at the distribution-level. This paper introduces a community-based transactive coordination mechanism designed to incentivize customers for providing localized and system-level services reflected through real-time prices. The work presents a bidding approach for communities, representing collectives of customers, to formulate their price-responsiveness for retail energy coordination, emphasizing a community-centric model. By sending bidding curves to a third-party, the mechanism enables customers with DER assets to actively participate in localized coordination with the Load Serving Entity (LSE), supplementing each other's and even the utility's needs through a shared energy economy. The proposed transactive mechanism is implemented leveraging a co-simulation framework that integrates a distribution grid simulator with control agents for performance evaluation. Simulation-based evaluation on a real distribution system use-case, in collaboration with a local utility, demonstrate the potential of the mechanism to reduce energy costs up to 12% for communities with DERs like solar photovoltaic (PV) and battery energy storage systems (BESS). The mechanism's effectiveness is further validated through field tests conducted on a utility's real system, utilizing a 1.32 MWh battery resource.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-06-13
DOI
https://doi.org/10.1109/tia.2025.3579436
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Community-Based Transactive Coordination Mechanism for Enabling Grid-Edge Systems

John R. Theisen, Monish Mukherjee, Anjan Bose, Michael Diedesch et al.
IEEE Transactions on Industry Applications
Distributed and Parallel Computing Systems
article

Community-Based Transactive Coordination Mechanism for Enabling Grid-Edge Systems

John R. Theisen, Monish Mukherjee, Anjan Bose, Michael Diedesch, Kenneth Wilhelm, Dan Burgess, Zoë Oens
article en

Abstract

The changing landscape of the electricity industry, characterized by a surge in distributed energy resources (DERs) and proactive customers, necessitates practical solutions for coordinated operation especially at the distribution-level. This paper introduces a community-based transactive coordination mechanism designed to incentivize customers for providing localized and system-level services reflected through real-time prices. The work presents a bidding approach for communities, representing collectives of customers, to formulate their price-responsiveness for retail energy coordination, emphasizing a community-centric model. By sending bidding curves to a third-party, the mechanism enables customers with DER assets to actively participate in localized coordination with the Load Serving Entity (LSE), supplementing each other's and even the utility's needs through a shared energy economy. The proposed transactive mechanism is implemented leveraging a co-simulation framework that integrates a distribution grid simulator with control agents for performance evaluation. Simulation-based evaluation on a real distribution system use-case, in collaboration with a local utility, demonstrate the potential of the mechanism to reduce energy costs up to 12% for communities with DERs like solar photovoltaic (PV) and battery energy storage systems (BESS). The mechanism's effectiveness is further validated through field tests conducted on a utility's real system, utilizing a 1.32 MWh battery resource.

IEEE Transactions on Industry ApplicationsVol. 61(6)
Pacific Northwest National Laboratory (US), Washington State University (US)
Openalex Percentile: Top 86%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Community-Based Transactive Coordination Mechanism for Enabling Grid-Edge Systems — John R. Theisen, Monish Mukherjee, et al. · IEEE Transactions on Industry Applications (2025) | TGRS Research Map | TGRS