Evolving Robust and Reconfigurable Multi-Objective Controllers for Advanced Power Systems

 

High level description of the objective decomposition
High level description of the objective decomposition
Performer: 
Oregon State University
Website:  Oregon State University
Award Number:  FE0012302
Project Duration:  10/01/2013 – 09/30/2017
Total Award Value:  $1,401,192
DOE Share:  $1,120,225
Performer Share:  $280,967
Technology Area:  Coal Utilization Science
Key Technology:  Sensors & Controls
Location:  Corvallis, Oregon

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.

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
 

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