Summary
Continued growth of distributed energy resources (DER) such as rooftop solar, battery energy storage, heat pumps, and electric vehicles are reshaping how power systems are planned, particularly in areas with high DER penetration. When aggregated as a virtual power plant
Read more Read less(VPP), DERs provide grid-edge flexibility but may introduce reliability challenges. Traditional grid planning tools are not well-suited to evaluate the full locational value that VPPs can provide to transmission and distribution networks.
This paper presents a unified transmission–distribution (T&D) modeling framework that enables grid planners to evaluate T&D reliability and identify VPP congestion relief benefits.
The approach treats VPPs as dispatchable, network-constrained resources analogous to conventional generation while retaining distribution system detail to capture locational impacts.
Production cost modeling is integrated with a balanced transmission model and three-phase distribution feeder representation, enabling hourly or sub-hourly simulations that reflect timevarying behavior of DERs such as weather dependency, energy limits, and price responsiveness. Soft network limits convert congestion into locational price signals that drive
VPP responses; unbalanced power flow studies validate voltage and thermal performance.
The framework is demonstrated through a case study on the Vermont power system, which has one of the highest DER concentrations in the United States. N-1 contingency analysis shows that targeted VPP dispatch can relieve transmission congestion without adverse distribution system impacts. This work illustrates a pathway for studying VPP benefits for transmission congestion management.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C6_10807_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | United States of America |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
KENYON Wallace - Encoord, United States of America; QUINT Ryan - Elevate Energy Consulting, United States of America; BRUNNER Cyril - Vermont Electric Coop, United States of America; JHALA Kumarsinh - Argonne National Lab, United States of America; BRANCUCCI Carlo - Encoord, United States of America
Keywords
Congestion Management - Grid-Edge - Production Cost Modeling - Virtual Power Plant