Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Co-simulation Framework for Community-scale Building-grid Integration [SWR-21-75]

Software ·
DOI:https://doi.org/10.11578/dc.20240701.7· OSTI ID:code-73265 · Code ID:73265

Distributed energy resources (DERs), including rooftop solar, energy storage, and flexible loads, are gaining popularity as costs decline and as building owners and utilities realize their benefits. DERs can improve distribution system efficiency, help prevent the need for expensive grid upgrades, and increase the resilience of local communities. However, they can also cause difficulties in grid operations and can require controls to achieve their benefits. To address this challenge, NREL researchers have developed a community-scale solution that assesses the impacts of DERs and their control strategies on a distribution system. The framework has been shown to reduce solar photovoltaic (PV) curtailment to 0%, mitigate the adverse impact of solar variability on the distribution voltage, and provide up to 5-day critical load support during emergency events. Utilizing 5 different modules representing the feeder, buildings, home energy management systems, an aggregator, and a utility controller, NREL expects this simulation technology to play a critical role in the continued integration of DERs. According to the Energy Information Administration (EIA), solar curtailments accounted for 94% of the total energy curtailed in the California Independent System Operator (CAISO) in 2020. By enabling Independent System Operators (ISOs) and utility operators to bring solar curtailments to 0%, the electrical grid can become less dependent on fossil-fueled power generation sources. NREL's co-simulation framework contains five major components: Distribution Feeder Model: describes the distribution feeder topology using OpenDSS, including the locations of all DERs. Residential Building Model: simulates a large number of buildings at a high resolution using OCHRETM. The model is equipped to control equipment based on signals from an external module. The model includes major household appliances such as HVAC and a water heater, non-dispatchable load models, a distributed PV system, and a home battery system. Home Energy Management System: optimizes the controls for the devices in a home using foreseeTM. The control can adjust based on the user preferences including cost, comfort, and convenience. In hierarchical control scenarios, where the houses follow signals from an aggregator, the home energy management system provides a flexibility band with a range of power and follows the dispatch signals received from aggregator. Community-Level Aggregator: solves for optimal energy dispatch based on the flexibility bands received from each home and the grid service signal received from the utility controller. Utility-Level Controller: provides grid signals for voltage control using Distributed Energy Resources (DERs), such as solar systems, in the community.

Project Type:
Closed Source
Site Accession Number:
SWR-21-75
Software Type:
Scientific
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Primary Award/Contract Number:
AC36-08GO28308
DOE Contract Number:
AC36-08GO28308
Code ID:
73265
OSTI ID:
code-73265
Country of Origin:
United States

Similar Records

A Network-Aware Distributed Energy Resource Aggregation Framework for Flexible, Cost-Optimal, and Resilient Operation
Journal Article · Mon Nov 01 00:00:00 EDT 2021 · IEEE Transactions on Smart Grid · OSTI ID:1833350

Seminar 13 - Advanced Methods for Grid Integration of High-Performance Residential Communities
Conference · Thu Dec 05 23:00:00 EST 2019 · OSTI ID:1578267

The impact of energy-efficiency upgrades and other distributed energy resources on a residential neighborhood-scale electrification retrofit
Journal Article · Tue Nov 15 23:00:00 EST 2022 · Applied Energy · OSTI ID:1903176

Related Subjects