High Performance Adaptive Deep-Reinforcement-Learning-based Real-time Emergency Control (HADREC) to Enhance Power Grid Resilience in Stochastic Environment

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Program:
OPEN 2018
Award:
$3,500,000
Location:
Richland, Washington
Status:
ALUMNI
Project Term:
08/16/2019 - 11/15/2022
Website:

Technology Description:

Pacific Northwest National Laboratory (PNNL) will construct an intelligent, real-time emergency control system to help safeguard the U.S. electric grid by providing effective and fast control actions to system operators in response to large contingencies or extreme events. PNNL’s scalable platform will utilize advanced machine learning techniques (deep-meta-reinforcement learning) as well as high-performance computing to automatically provide effective emergency control strategies seconds after disturbances or attacks. Platform development will focus on the determination, timing, coordination, and automation of control actions, including adaptation under uncertainty. The technology will diminish the need for costly preventive security measures as well as reduce action time sixtyfold and system recovery time by at least 10%, enabling more efficient and resilient grid operation.

Potential Impact:

If successful, PNNL's HADREC will displace existing technologies for grid centralized emergency control by solving the key technical hurdles for determining and coordinating emergency control actions based on real-time system states.

Security:

HADREC can ignite and facilitate development and automation of fast and innovative grid control technologies. This will prevent power outages and blackouts while maintaining U.S. leadership in advanced grid control and operation.

Environment:

HADREC’s advanced control capabilities will allow for a more secure and responsive grid, which facilitates the efficient use of clean-energy generation resources and network assets.

Economy:

Using HADREC, grids in the U.S. could potentially avoid billions of dollars from outage costs each year.

Contact

ARPA-E Program Director:
Dr. Richard O'Neill
Project Contact:
Yousu Chen
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov
Project Contact Email:
yousu.chen@pnnl.gov

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Release Date:
12/13/2017