Christopher L. DeMarco

Orcid: 0000-0002-8817-9804

According to our database1, Christopher L. DeMarco authored at least 27 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Transmission Congestion Management via Node-Breaker Topology Control.
IEEE Syst. J., September, 2023

2020
Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints.
IEEE Access, 2020

Enhancing Lossy Compression of PMU Measurements by Data Conditioning.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.
CoRR, 2019

2018
Risk of Cyber-Physical Attack via Load With Emulated Inertia Control.
IEEE Trans. Smart Grid, 2018

2017
Sparse tableau relaxation for the optimal power flow problem.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
A New Dynamic Performance Model of Motor Stalling and FIDVR for Smart Grid Monitoring/Planning.
IEEE Trans. Smart Grid, 2016

Energy Function-Based Model Predictive Control With UPFCs for Relieving Power System Dynamic Current Violation.
IEEE Trans. Smart Grid, 2016

Automated transmission expansion and routing incorporating electric and geographic criteria.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

2015
Locating Type-1 UEPs via tracing the minimum energy path on the energy-like Lyapunov function.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

2014
Investigation of Non-zero Duality Gap Solutions to a Semidefinite Relaxation of the Optimal Power Flow Problem.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

A modal decomposition approach to distributed observation and control for grid integration of renewable generation.
Proceedings of the American Control Conference, 2014

2013
From Each According to its Ability: Distributed Grid Regulation With Bandwidth and Saturation Limits in Wind Generation and Battery Storage.
IEEE Trans. Control. Syst. Technol., 2013

Network Essentiality.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013

Mining PMU data for real-time insights into grid power flow properties.
Proceedings of the American Control Conference, 2013

2012
Distributed control design to regulate grid frequency and reduce drivetrain stress in wind systems using battery storage.
Proceedings of the American Control Conference, 2012

Estimating power flow conditioning from phasor measurement data.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Topological and Impedance Element Ranking (TIER) of the Bulk-Power System.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

Examining the limits of the application of semidefinite programming to power flow problems.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Observer-based distributed control design to coordinate wind generation and energy storage.
Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, 2010

2001
Control structures for competitive, market-driven power systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

1999
Modeling the consumer benefit in the optimal power flow.
Decis. Support Syst., 1999

Strategic behavior in electric generation markets via dynamic governor control design.
Decis. Support Syst., 1999

1998
A Simulation Based Approach to Pricing Reactive Power.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

Inclusion of Price Dependent Load Models in the Optimal Power Flow.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

Design of Predatory Generation Control in Electric Power Systems.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

1994
The computational complexity of approximating the minimal perturbation scaling to achieve instability in an interval matrix.
Math. Control. Signals Syst., 1994


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