Auto-Steered Information-Decision Process for Electric Power System Asset Management

Develop a hardware-software prototype capable of auto-steering the information-decision cycles inherent to managing operations, maintenance, and planning of the high-voltage electric power transmission systems. In pursuing this objective, we will implement and advance creative approaches to 5 main problems inherent to management of capital-intensive, geographically distributed physical assets: (a) Sensing and communications; (b) Integrating data; (c) Transforming condition measurements to reliability metrics; (d) Developing and linking multi-time scale stochastic decision algorithms; (e) Valuation of information and subsequent sensor deployment.

Funding Agency

A NSF-funded DDDAS Project

Project start/end dates

Jan 2006-Dec 2010

Project Participants

  • James McCalley, Professor, EE
  • Sarah Ryan, Professor, IMSE
  • Vasant Honavar, Professor, CS
  • William Meeker, Professor, Stat
  • Daji Qiao, Assistant Professor, CE
  • Hieu Pham, Ph.D Student, EE

Project Web site

Auto-Steered Information-Decision Process


  • Yuan Li and James D. McCalley, “Decomposed SCOPF for Improving Efficiency.” IEEE Transactions on Power Systems, Vol. 24, no. 1, pp. 494-495, Feb. 2009.
  • S Yeddanapudi, Yuan Li, James D. McCalley, Ali A. Chowdhury and W. T. Jewell, “Risk-Based Allocation of Distribution System Maintenance Resources.” IEEE Transactions on Power Systems, Vol. 23, no. 2, pp. 287-295, May 2008.