Grid Data Analytics

The work in this area revolves around developing numerous techniques for online estimation and  monitoring  tasks in bulk power systems that leverage high-bandwidth data  obtained via phasor measurement units (PMUs). Our techniques improve operator situational awareness as (i) they fill the gap  between output updates of existing techniques that rely on lower bandwidth SCADA system data, and (ii) quickly react to changes in operating conditions caused by changes in loading conditions and topology.

Funding Source: Department of Energy, National Science Foundation, Power Systems Engineering Research Center, and the Siebel Energy Institute.

Sample Publications:

  1. G. Rovatsos, X. Jiang, A. D. Domínguez-García, and V. V. Veeravalli, “Statistical Power System Line Outage Detection Under Transient Dynamics,” IEEE Transactions on Signal Processing, vol. 65, no. 11, 2787 – 2797, June 2017. [preprint]
  2. K. E. Van Horn, A. D. Domínguez-García, and P. W. Sauer, “Measurement-Based Real-Time Security-Constrained Economic Dispatch,” IEEE Transactions on Power Systems, vol. 31, no. 5, 3548 – 3560, September 2016. [preprint]
  3. Y. C. Chen, T. Banerjee, A. D. Domínguez-García, and V. V. Veeravalli, “Quickest Line Outage Detection and Identification,” IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 749 – 758, January 2016. [preprint]
  4. Y. C. Chen, A. D. Domínguez-García, and P. W. Sauer, “A Sparse Representation Approach to Online Estimation of Power System Distribution Factors,” IEEE Transactions on Power Systems, vol. 30, no. 4, pp. 1727 – 1738, July 2015. [preprint]
  5. Y. C. Chen, A. D. Domínguez-García, and P. W. Sauer, “Measurement-Based Estimation of Linear Sensitivity Distribution Factors and Applications,” IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1372 – 1382, May 2014. [preprint]