Multi-Objective Optimal Sensor Deployment under Uncertainty for Advanced Power Systems Email Page
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Performer:  University of Illinois at Chicago Location:  Illinois
Project Duration:  09/01/2013 – 08/31/2016 Award Number:  FE0011227
Technology Area:  University Training and Research Total Award Value:  $300,000
Key Technology:  Sensors & Controls DOE Share:  $300,000
Performer Share:  $0

Prioritized sensing needs in advanced power systems. [Credit: NETL]
Prioritized sensing needs in advanced power systems. [Credit: NETL]

Project Description

The objective of the proposed 36-month effort is to develop CAPE-OPEN compliant virtual sensing capability and multi-objective stochastic programming capability for optimal sensor placement under uncertainty for advanced power systems with various objectives like efficiency, maximum information, and cost.

Project Benefits

This project will focus on large scale sensor deployment and optimization by determining optimal sensor location under uncertainty in advanced power systems. These advancements could lead to an increase in observability, create a cost effective sensor network, and increase efficiency in advanced power systems. Ultimately, these advancements in technology mean better control of gasifier or boiler operation and thus, lowered operating costs and decreased overall environmental impacts.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Barbara Carney:
Technology Manager Robert Romanosky:
Principal Investigator Urmila Diwekar: