Slick Sheet: Project
Castalune will develop a software system that identifies and monitors complex leading indicators of key grid events associated with individual assets and regional grids, such as price volatility events, curtailment, and reliability failure. The team will produce new risk metrics and evaluation methodologies that inform generator dispatch within electric grids subject to increasingly dynamic underlying drivers of demand (e.g., electric vehicles, on-site generation, or storage) and supply (e.g., weather-driven renewable generation, storage).

Slick Sheet: Project
Rensselaer Polytechnic Institute (RPI) will develop market mechanism and risk assessment techniques to support cost-effective and risk-informed integration of renewable energy resources into the grid. The RPI team will holistically apply risk segmentation (tranching), credit scoring, and portfolio analysis techniques from financial engineering and risk management for risk analytics of asset and system operation.

Slick Sheet: Project
The Lehigh University team will develop a framework for asset and system risk management that can be incorporated into current electricity system operations to improve economic efficiency through the establishment of an electric assets risk bureau. Discrepancies exist between the power scheduled by a system operator and actual power generated and/or consumed.

Slick Sheet: Project
E3 will develop the RESERVE modeling tool, which can be used by system operators to dynamically calculate the need for operating reserves to mitigate system-wide risks from variability and forecast errors. This partnership aims to make the tool publicly available to enable more efficient grid operations, reducing costs and enhancing the use of large-scale renewable electricity resources, distributed energy resources, and conventional power generation technologies.

Slick Sheet: Project
The proposed work offers a New Risk Assessment and Management Paradigm (NewRAMP). NewRAMP develops innovative approaches for quantifying the risk of individual assets based on their performance and ability to deliver on their assumed obligations. NewRAMP translates this risk to the system level to increase the efficiency of power system operation and planning in the presence of extensive market participation by “risky” assets.

Blog Posts
ARPA-E focuses on next-generation energy innovation to create a sustainable energy future. The agency provides R&D support to businesses, universities, and national labs to develop technologies that could fundamentally change the way we access, use, and store energy. Since 2009, ARPA-E has provided over $2 billion in support to more than 950 energy technology projects.

Slick Sheet: Project
The increasing use of renewable energy resources challenges grid operations, which have traditionally relied on highly predictable load and generation. Future grid operators must balance generation costs and system-level risk, shifting from deterministic to stochastic optimization and risk management. Georgia Tech’s Risk-Aware Market Clearing (RAMC) project will provide a blueprint for an end-to-end, data-driven approach where risk is explicitly modeled, quantified, and optimized, striking a tradeoff between cost and system-level risk minimization.

Slick Sheet: Project
The University of Wisconsin-Madison will develop an online monitoring tool to assess the stability of the power grid. The tool will determine options to increase grid stability as well as detect and isolate forced oscillations, which are often indicative of faulty control actions at plants and can be potentially dangerous if they excite a natural mode of the system. To accomplish this, the team will fine-tune the underlying computations, develop alarm and notification procedures, and design a user-friendly and practical tool interface.

Slick Sheet: Project
Arizona State University will develop learning-ready models and control tools to maintain sensor-rich distribution systems in the presence of high levels of DER and storage. This approach will include topology processing algorithms, load and DER models for system planning and operation, distribution system state estimation, optimal DER operational scheduling algorithms, and system-level DER control strategies that leverage inverter controls’ flexibility.

Slick Sheet: Project
GridBright will develop a simple and secure solution for sharing grid-related data to improve grid efficiency, reliability, and resiliency in a manner that preserves security and integrity. GridBright will use the Agile development model to construct several proof-of-concept software pipelines, performing penetration and compromise testing and a quantitative evaluation of each against existing requirements. The solution will create a simpler secure grid data exchange process for the electric grid and utility industries.