Power-Grid Optimization
Technology Description:
The team led by Pacific Northwest National Laboratory (PNNL) will develop a High-Performance Power-Grid Optimization (HIPPO) technology to reduce grid resource scheduling times to within a fraction of current speeds, which can lead to more flexible and reliable real-time operation. The team will leverage advances in optimization algorithms and deploy high-performance computing technologies to significantly improve the performance of grid scheduling. HIPPO will provide inter-algorithm parallelization and allow algorithms to share information during their solution process, with the objective of reducing computing time by efficiently using computational power. New algorithms will leverage knowledge of the underlying system, operational experience, and past solutions to improve performance and avoid previously encountered mistakes.
Potential Impact:
If successful, innovations from this project could enhance the ability to manage the electric grid and enable grid-level integration of current and future smart grid technologies.
Security:
Improved grid optimization could permit tighter integration among grid analytical tools and provide greater grid resilience through the ability to detect, isolate, and recover from failures.
Environment:
Faster grid calculations could reduce energy losses on the grid, helping to avoid energy-related greenhouse gas emissions.
Economy:
The technology will yield grid operational benefits and significant financial savings.
Contact
ARPA-E Program Director:
Dr. Richard O'Neill
Project Contact:
Dr. Feng Pan
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov
Project Contact Email:
feng.pan@pnnl.gov
Partners
Alstom Grid
Midcontinent Independent System Operator (MISO)
Gurobi Optimization
Related Projects
Release Date:
01/07/2015