Daniel K. Molzahn
Orcid: 0000-0003-0583-5376Affiliations:
- Georgia Institute of Technology, GA, USA
- Argonne National Laboratory
According to our database1,
Daniel K. Molzahn
authored at least 63 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks.
CoRR, 2024
A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms.
CoRR, 2024
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations.
CoRR, 2024
Detecting and Mitigating Data Integrity Attacks on Distributed Algorithms for Optimal Power Flow using Machine Learning.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow.
SIAM J. Optim., December, 2023
Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling.
CoRR, 2023
CoRR, 2023
Optimally Managing the Impacts of Convergence Tolerance for Distributed Optimal Power Flow.
CoRR, 2023
CoRR, 2023
Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems.
CoRR, 2023
AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm.
CoRR, 2023
PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms.
CoRR, 2023
Comparing Machine Learning and Optimization Approaches for the N - k Interdiction Problem Considering Load Variability.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models.
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Control. Netw. Syst., 2022
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections.
CoRR, 2022
A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems.
CoRR, 2022
Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators.
CoRR, 2022
Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk.
CoRR, 2022
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.
CoRR, 2021
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment.
CoRR, 2021
Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communication.
CoRR, 2021
Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularity.
CoRR, 2021
Verifying Global Optimality of Candidate Solutions to Polynomial Optimization Problems using a Determinant Relaxation Hierarchy.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
CoRR, 2020
2019
Detection and Characterization of Intrusions to Network Parameter Data in Electric Power Systems.
IEEE Trans. Smart Grid, 2019
An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response.
IEEE Trans. Control. Netw. Syst., 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Grid-Aware versus Grid-Agnostic Distribution System Control: A Method for Certifying Engineering Constraint Satisfaction.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Implied Constraint Satisfaction in Power System optimization: The Impacts of Load Variations.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Identifying and Characterizing Non-Convexities in Feasible Spaces of Optimal Power Flow Problems.
IEEE Trans. Circuits Syst. II Express Briefs, 2018
Lasserre Hierarchy for Large Scale Polynomial Optimization in Real and Complex Variables.
SIAM J. Optim., 2018
SIAM J. Appl. Algebra Geom., 2018
Comparison of Various Trilinear Monomial Envelopes for Convex Relaxations of Optimal Power Flow Problems.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems.
IEEE Trans. Smart Grid, 2017
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid.
IEEE Trans. Smart Grid, 2017
The impact of load models in an algorithm for improving voltage stability via demand response.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
IEEE Trans. Circuits Syst. I Regul. Pap., 2016
Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems.
CoRR, 2016
Proceedings of the Power Systems Computation Conference, 2016
Calculation of Voltage Stability Margins and Certification of Power Flow Insolvability Using Second-Order Cone Programming.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Introduction to the power flow equations and moment/sum-of-squares relaxations of optimal power flow problems.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Semidefinite relaxations of equivalent optimal power flow problems: An illustrative example.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Solution of optimal power flow problems using moment relaxations augmented with objective function penalization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Proceedings of the 2014 Power Systems Computation Conference, 2014
Proceedings of the 2014 Power Systems Computation Conference, 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
2013
Initializing Dynamic Power System Simulations Using Eigenvalue Formulations of the Induction Machine and Power Flow Models.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013
Power system structure and confidentiality preserving transformation of Optimal Power Flow problem.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
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
An eigenvalue formulation for determining initial conditions of induction machines in dynamic power system simulations.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010