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Software for Advanced Simulation, Planning and Decentralized Coordination of Distributed Energy Resources
ARPA-E DSO Project
Software for Advanced Simulation, Planning and
Decentralized Coordination of Distributed Energy Resources
The optimal design and safe operation of the DER-rich power grid presents great challenges.
Next-generation planning and coordination tools can benefit Utilities and DER-providers.
ProsumerGrid develops Massively Scalable, Cloud-Based Software
for High-Fidelity Simulation and Decentralized Coordination of
DER-rich Electric Power Systems
DISTRIBUTED ENERGY RESOURCES (DER) INCLUDE:
Utility, Provider or
Customer-Owned Solar and
Wind Renewable Generation
Industrial, Commercial and Residential Demand Response
Powerful , User-Friendly Simulation
Our solution provides system-wide co-simulation of Grid Physics, DER controls, and market and management layers
Our solution supports decentralized coordination of massive numbers of distributed energy resources (DER)
Decentralized means: computational scalability, massive deployability, and multi-agent management modeling.
The Grand Challenge
How to coordinate
billions of distributed energy resources and millions of decision makers
to achieve the objectives of ultra-reliability, economic optimization, and sustainability?
We are developing a set of software solutions that enable
coordination of distributed energy resources (DER).
Why It Matters
The Reasons the Industry Should Care
Emergence of Prosumers
Emergence of Prosumers
With the deployment of consumer-owned DER assets, traditional energy consumers have been transformed into
(that produce as well as consume energy).
The current centralized control architecture is not scalable to support millions of DERs and decision makers. A new decentralized paradigm is needed to ensure scalability.
There is a need for a cyber-infrastructure that allows DER-rich systems to interact and exchange energy services to realize new business models or market designs.
There is a need for effective decentralized coordination at various scales (homes, microgrids, distribution system operators) to successfully exploit the value of DERs.
To ensure reliability of the emerging DER-rich grid, new simulation tools are needed that capture the interdependence between grid physics, markets, and DER controls.
There is a need for powerful analytics tools that can help determine the value of DER services as well as design new market rules and business models.