Evolving Robust and Reconfigurable Multi-Objective Controllers for Advanced Power Systems Email Page
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Performer:  Oregon State University Location:  Corvallis, Oregon
Project Duration:  10/01/2013 – 09/30/2017 Award Number:  FE0012302
Technology Area:  Coal Utilization Science Total Award Value:  $1,401,192
Key Technology:  Sensors & Controls DOE Share:  $1,120,225
Performer Share:  $280,967

High level description of the objective decomposition
High level description of the objective decomposition

Project Description

This work will focus on deriving, implementing, and testing bio-mimetic control and multi objective optimization algorithms that promote robust and reconfigurable performance in an advanced power system. The long-term objective of the proposed work is to provide a comprehensive solution to the scalable and robust multi-objective control of an advanced power system where no detailed system model is required for real-time control.

Project Benefits

This project will focus on deriving, implementing, and testing bio-mimetic control and multi-objective optimization algorithms that promote robust and reconfigurable performance in an advanced power system. Implementation of these control algorithms will reduce overall operating costs in advanced power systems.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Sydni Credle: sydni.credle@netl.doe.gov
Technology Manager Briggs White: briggs.white@netl.doe.gov
Principal Investigator Kagan Tumer: kagan.tumer@oregonstate.edu