Huaiwei Liao PhD Candidate Major: Electrical and Computer Engineering Affiliation:  ECE , CEIC , PSERC   Email address: hliao@cmu.edu Office: Porter Hall B23 Phone: (412) 268-4464 Fax: (412) 268-1679 Mailing address: Carnegie Mellon University Department of Electrical and Computer Engineering 5000 Forbes Avenue Pittsburgh, PA 15213

Bio

H. Liao is a Ph.D. candidate in ECE at Carnegie Mellon. Before he studied at Carnegie Mellon, he was a Lecturer in the Department of Electric Power Engineering at Huazhong Univ. of Science and Technology, Wuhan, Hubei Prov., China. He received his Bachelor and Master degrees in electrical engineering both in Chongqing Univ., Chongqing, China.  From May to September, 2006, he had his internship as a power engineer at System Operation Division, PJM interconnection, Norristown, PA.  He was the winner of first place in Men's 200m Butterfly in College Swimming Contest 1996 in Chongqing municipality as a member of Varsity Swim Team(1995 ~ 1997).

Current Projects

Measuring Vulnerability to Cascading Failures in Electric Power Systems - This project focuses on modeling statistical behaviors of cascading failures in large-scale power systems; these models are used 1) to devise online metrics for the risk of cascading failures in power systems and 2) to recognize key factors contributing to cascade-induced system collapse.	Probabilistic Analysis in Hybrid Systems - Traditional system protection is designated to resist a given set of configurations. The consequence of unexpected events may be catastrophic to the integrity of power systems. We are seeking alternatives to analyze power systems as switching dynamic systems using probabilistic methods in order to resist large power blackouts.
Wide-Area Sensing with Sparse Prior- We are interested in detecting system structure disturbances by a small group of wide-area fast sensors.

Journal Papers and Book Chapter

1. Power System Harmonic State Estimation and Observability Analysis via Sparsity Maximization
   H. Liao
   IEEE Transactions on Power Systems, vol. 22, no. 1, Feb., 2007. [Abstract]
   Download: pdf [543 KB]

2. (Book Chapter) Independent Component Analysis Techniques for Power System Load Estimation - A Signal-Processing Approach
   D. Niebur, E. Gursoy, and H. Liao  
   in J. C. Chow, F. F. Wu and J. A. Momoh, (ed.) Applied Mathematics For Restructured Electric Power-Optimization, Control, and Computational Intelligence, Springer Verlag, New York, NY 2004
3. Load Profile Estimation Using Independent Component Analysis
   H. Liao and D. Niebur
   IEEE Transactions on Power Systems, vol. 18, no. 2, May 2003, 707-715. [Abstract]
   Download: pdf [704KB] copyrighted

1. Fast Deterministic Sampling for Mean and Covariance Estimation in Stochastic Load Flow
   H. Liao
   Proceedings of the IEEE PES General Meeting 2007, Tampa, Florida, USA.

2. Symbolic/Numeric Steady-State Contingency Analysis in Electric Power Systems
   H. Liao, Dagmar Niebur
   Panel Presentation, 2006 IEEE PES Power Systems Conference and Exposition, Atlanta, Georgia, USA.

3. Power System Harmonic State Estimation via Sparsity Maximization
   H. Liao
   Proceedings of the IEEE PES General Meeting 2006, Montreal, Canada, June, 2006.

4. Identification of Harmonic Sources by Underdetermined State Estimator
   H. Liao
   Carnegie Mellon Electricity Conference, Pittsburgh, Jan. 2006. [Abstract]

5. Phase Transitions in the Probability of Cascading Failures
   H. Liao, J. Apt, and S. Talukdar
   Proceedings of the Carnegie Mellon Transmission Conf., Pittsburgh, Dec. 2004. [Abstract]

6. Symbolic/Numeric Power Flow for Contingency Evaluation of Steady-state Power Systems
   H. Liao and D. Niebur
   IEEE Power Engineering Society General Meeting, 2005.[Abstract]

7. Exploring Independent Component Analysis for Electric Load Profiling
   H. Liao and D. Niebur
   Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on. [Abstract]

1. Phase Transitions of the Probability of Cascading Failures in Large-scale Electric Power Systems
   Huaiwei Liao and  Sarosh Talukdar
2. On Estimation of  Cascading Failure Probability in Power Systems
   Huaiwei Liao and  Sarosh Talukdar
3. Fast Deterministic Sampling for Uncertainty Analysis in Power Systems
   Huaiwei Liao
4. Underdetermined State Estimation - Theory and Applications
   Huaiwei Liao
5. Nonlinear Observability Analysis of Power System State Estimation
   Huaiwei Liao
6. Robustness Analysis of Power System State Estimation in Presence of Bad Data
   Huaiwei Liao
7. Power System Dynamic State Estimation Considering Structure Disturbances
   Huaiwei Liao

Courses Taken

• Machine Learning/Artificial Intelligence - by Andrew Moore and Tom Mitchell
• Large-scale Systems Control - by Marija Ilic 
• Multi-agent Systems - by Sarosh Talukdar
• Nonlinear Control - by William C. Messner
• Power Economics in Changing Power Industry - by Marija Ilic
• Energy Aware Computing - by Diana Marculescu,
• Information Theory and Coding - by R. Negi

Useful Resources

• My version of PhD Thesis Proposal Latex Template in ECE, Carenegie Mellon, download (zip)
• My version of PhD Thesis Latex Template.
• A collection of early papers in Probabilistic Load Flow.
• My collection of useful resources.
• Shared content for relax reading.
• CMU Stochastic Load Flow Toolbox. (to be available)