Daniel K. Molzahn

103 papers C 7Journal 72Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks. INFORMS J. Comput. Swati Gupta, Cyrus Hettle, Daniel K. Molzahn
2026	J	`jnl`	Optimizing Parameters of the LinDistFlow Power Flow Approximation for Distribution Systems. IEEE Trans. Smart Grid Babak A. Taheri, Rahul Kumar Gupta, Daniel K. Molzahn
2026	J	`jnl`	Ramping-aware Enhanced Flexibility Aggregation of Distributed Generation with Energy Storage in Power Distribution Networks. CoRR Hyeongon Park, Daniel K. Molzahn, Rahul K. Gupta
2026	—	`conf`	Sensitivity Analyses of Synthetic Power Grid Modeling Techniques in a Global Context: A Case Study in Ghana. HICSS Richard Asiamah, Karen Ji, Jean-Paul Watson, Daniel K. Molzahn
2025	J	`jnl`	A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow. CoRR Mohannad Alkhraijah, Devon Sigler, Daniel K. Molzahn
2025	J	`jnl`	Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks. CoRR Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, Daniel K. Molzahn
2025	J	`jnl`	Certifying the Nonexistence of Feasible Path Between Power System Operating Points. CoRR Mohammad Rasoul Narimani, Katherine R. Davis, Daniel K. Molzahn
2025	J	`jnl`	Certifying the Nonexistence of Feasible Paths Between Power System Operating Points. IEEE Control. Syst. Lett. Mohammad Rasoul Narimani, Katherine R. Davis, Daniel K. Molzahn
2025	J	`jnl`	Differentiating Through Power Flow Solutions for Admittance and Topology Control. CoRR Samuel Talkington, Daniel Turizo, Sergio A. Dorado-Rojas, Rahul K. Gupta, Daniel K. Molzahn
2025	J	`jnl`	Efficient Network Reconfiguration by Randomized Switching. CoRR Samuel Talkington, Dmitrii M. Ostrovskii, Daniel K. Molzahn
2025	J	`jnl`	Error Bounds for Radial Network Topology Learning from Quantized Measurements. CoRR Samuel Talkington, Aditya Rangarajan, Pedro Aquino de Alcantara, Line Roald, Daniel K. Molzahn, Daniel R. Fuhrmann
2025	J	`jnl`	Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards. CoRR Ryan Piansky, Daniel K. Molzahn, Nicole D. Jackson, J. Kyle Skolfield
2025	J	`jnl`	Fair Cost Allocation in Energy Communities: A DLMP-based Bilevel Optimization with a Shapley Value Approach. CoRR Hyeongon Park, Kyuhyeong Kwag, Daniel K. Molzahn, Rahul K. Gupta
2025	J	`jnl`	Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk. CoRR Weimin Huang, Ryan Piansky, Bistra Dilkina, Daniel K. Molzahn
2025	J	`jnl`	Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach. CoRR Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn
2025	J	`jnl`	Optimizing Phase Allocation in Unbalanced Power Distribution Networks using a Linearized DistFlow Formulation. CoRR Rahul K. Gupta, Daniel K. Molzahn
2025	—	`conf`	Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making. HICSS Ryan Piansky, Noah Rhodes, Sofia Taylor, Line Roald, Daniel K. Molzahn, Jean-Paul Watson
2025	J	`jnl`	Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2025	J	`jnl`	Towards AC Feasibility of DCOPF Dispatch. CoRR Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, Daniel K. Molzahn
2025	J	`jnl`	VArsity: Can Large Language Models Keep Power Engineering Students in Phase? CoRR Samuel Talkington, Daniel K. Molzahn
2024	J	`jnl`	A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms. CoRR Mohannad Alkhraijah, Daniel K. Molzahn
2024	J	`jnl`	AC-Informed DC Optimal Transmission Switching Problems via Parameter Optimization. CoRR Babak Taheri, Daniel K. Molzahn
2024	J	`jnl`	Adaptive Power Flow Approximations with Second-Order Sensitivity Insights. CoRR Paprapee Buason, Sidhant Misra, Jean-Paul Watson, Daniel K. Molzahn
2024	J	`jnl`	Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks. CoRR Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools. CoRR Rosemarie Santa González, Ryan Piansky, Sue M. Bae, Justin B. Biddle, Daniel K. Molzahn
2024	—	`conf`	Detecting and Mitigating Data Integrity Attacks on Distributed Algorithms for Optimal Power Flow using Machine Learning. HICSS Rachel Harris, Daniel K. Molzahn
2024	J	`jnl`	Discrete Shortest Paths in Optimal Power Flow Feasible Regions. CoRR Daniel Turizo, Diego Cifuentes, Anton Leykin, Daniel K. Molzahn
2024	J	`jnl`	Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices. CoRR Madeleine Pollack, Ryan Piansky, Swati Gupta, Alyssa Kody, Daniel K. Molzahn
2024	J	`jnl`	Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations. CoRR Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
2024	J	`jnl`	GreenEVT: Greensboro Electric Vehicle Testbed. IEEE Syst. J. Gustav Nilsson, Alejandro D. Owen Aquino, Samuel Coogan, Daniel K. Molzahn
2024	J	`jnl`	Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks. CoRR Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Improving the Accuracy of DC Optimal Power Flow Formulations via Parameter Optimization. CoRR Babak Taheri, Daniel K. Molzahn
2024	J	`jnl`	Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging. CoRR Ryan Piansky, Georgia Stinchfield, Alyssa Kody, Daniel K. Molzahn, Jean-Paul Watson
2024	J	`jnl`	Optimized LinDistFlow for High-Fidelity Power Flow Modeling of Distribution Networks. CoRR Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making. CoRR Ryan Piansky, Sofia Taylor, Noah Rhodes, Daniel K. Molzahn, Line A. Roald, Jean-Paul Watson
2024	J	`jnl`	Sample-Based Conservative Bias Linear Power Flow Approximations. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2024	—	`conf`	Strategic Electric Distribution Network Sensing via Spectral Bandits. CDC Samuel Talkington, Rahul K. Gupta, Richard Asiamah, Paprapee Buason, Daniel K. Molzahn
2024	J	`jnl`	Strategic Electric Distribution Network Sensing via Spectral Bandits. CoRR Samuel Talkington, Rahul K. Gupta, Richard Asiamah, Paprapee Buason, Daniel K. Molzahn
2023	J	`jnl`	A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. Oper. Res. Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong
2023	J	`jnl`	AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm. CoRR Babak Taheri, Daniel K. Molzahn
2023	J	`jnl`	AC Power Flow Informed Parameter Learning for DC Power Flow Network Equivalents. CoRR Babak Taheri, Daniel K. Molzahn
2023	J	`jnl`	Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems. CoRR Ali Jalilian, Babak Taheri, Daniel K. Molzahn
2023	—	`conf`	Comparing Machine Learning and Optimization Approaches for the N - k Interdiction Problem Considering Load Variability. HICSS Alejandro Owen Aquino, Rachel Harris, Alyssa Kody, Daniel K. Molzahn
2023	J	`jnl`	Detecting Shared Data Manipulation in Distributed Optimization Algorithms. CoRR Mohannad Alkhraijah, Rachel Harris, Samuel Litchfield, David Huggins, Daniel K. Molzahn
2023	J	`jnl`	GreenEVT: Greensboro Electric Vehicle Testbed. CoRR Gustav Nilsson, Alejandro D. Owen Aquino, Samuel Coogan, Daniel K. Molzahn
2023	J	`jnl`	Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling. CoRR Alejandro D. Owen Aquino, Samuel Talkington, Daniel K. Molzahn
2023	J	`jnl`	Optimally Managing the Impacts of Convergence Tolerance for Distributed Optimal Power Flow. CoRR Rachel Harris, Mohannad Alkhraijah, Daniel K. Molzahn
2023	J	`jnl`	Optimizing Parameters of the DC Power Flow. CoRR Babak Taheri, Daniel K. Molzahn
2023	J	`jnl`	PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms. CoRR Mohannad Alkhraijah, Rachel Harris, Carleton Coffrin, Daniel K. Molzahn
2023	J	`jnl`	Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. Oper. Res. Ignacio Aravena, Daniel K. Molzahn, Shixuan Zhang, Cosmin G. Petra, Frank E. Curtis, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong, Amin Gholami, Kaizhao Sun, Xu Andy Sun, Stephen T. Elbert, Jesse Holzer, Arun Veeramany
2023	C	`conf`	Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models. ACC Babak Taheri, Daniel K. Molzahn
2023	J	`jnl`	Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow. SIAM J. Optim. Olga Kuryatnikova, Bissan Ghaddar, Daniel K. Molzahn
2022	J	`jnl`	A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2022	J	`jnl`	Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections. CoRR Samuel Talkington, Daniel Turizo, Santiago Grijalva, Jorge Fernandez, Daniel K. Molzahn
2022	J	`jnl`	Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators. CoRR Babak Taheri, Daniel K. Molzahn, Santiago Grijalva
2022	J	`jnl`	Optimal Power Flow in DC Networks With Robust Feasibility and Stability Guarantees. IEEE Trans. Control. Netw. Syst. Jianzhe Liu, Bai Cui, Daniel K. Molzahn, Chen Chen, Xiaonan Lu, Feng Qiu
2022	J	`jnl`	Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk. CoRR Alyssa Kody, Ryan Piansky, Daniel K. Molzahn
2022	J	`jnl`	Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models. CoRR Babak Taheri, Daniel K. Molzahn
2022	—	`conf`	Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CDC Alyssa Kody, Amanda West, Daniel K. Molzahn
2022	J	`jnl`	Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CoRR Alyssa Kody, Amanda West, Daniel K. Molzahn
2021	J	`jnl`	A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn
2021	J	`jnl`	Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communication. CoRR Mohannad Alkhraijah, Carlos Menendez, Daniel K. Molzahn
2021	J	`jnl`	Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularity. CoRR Cyrus Hettle, Swati Gupta, Daniel K. Molzahn
2021	J	`jnl`	Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. CoRR Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn
2021	—	`conf`	Verifying Global Optimality of Candidate Solutions to Polynomial Optimization Problems using a Determinant Relaxation Hierarchy. CDC Sikun Xu, Ruoyi Ma, Daniel K. Molzahn, Hassan L. Hijazi, Cédric Josz
2020	J	`jnl`	Invertibility Conditions for the Admittance Matrices of Balanced Power Systems. CoRR Daniel Turizo, Daniel K. Molzahn
2019	J	`jnl`	An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response. IEEE Trans. Control. Netw. Syst. Mengqi Yao, Daniel K. Molzahn, Johanna L. Mathieu
2019	J	`jnl`	Detection and Characterization of Intrusions to Network Parameter Data in Electric Power Systems. IEEE Trans. Smart Grid Daniel K. Molzahn, Jianhui Wang
2019	J	`jnl`	Efficient Creation of Datasets for Data-Driven Power System Applications. CoRR Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis
2019	—	`conf`	Grid-Aware versus Grid-Agnostic Distribution System Control: A Method for Certifying Engineering Constraint Satisfaction. HICSS Daniel K. Molzahn, Line A. Roald
2019	—	`conf`	Implied Constraint Satisfaction in Power System optimization: The Impacts of Load Variations. Allerton Line A. Roald, Daniel K. Molzahn
2019	J	`jnl`	The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms. CoRR Sogol Babaeinejadsarookolaee, Adam B. Birchfield, Richard D. Christie, Carleton Coffrin, Christopher L. DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cédric Josz, Roman Korab, Bernard C. Lesieutre, Jean Maeght, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ray Zimmerman
2019	—	`conf`	Transient Stability Analysis of Power Systems via Occupation Measures. ISGT Cédric Josz, Daniel K. Molzahn, Matteo Tacchi, Somayeh Sojoudi
2018	—	`conf`	Comparison of Various Trilinear Monomial Envelopes for Convex Relaxations of Optimal Power Flow Problems. GlobalSIP Mohammad Rasoul Narimani, Daniel K. Molzahn, Harsha Nagarajan, Mariesa L. Crow
2018	C	`conf`	Empirical Investigation of Non-Convexities in Optimal Power Flow Problems. ACC Mohammad Rasoul Narimani, Daniel K. Molzahn, Dan Wu, Mariesa L. Crow
2018	J	`jnl`	Identifying and Characterizing Non-Convexities in Feasible Spaces of Optimal Power Flow Problems. IEEE Trans. Circuits Syst. II Express Briefs Daniel K. Molzahn
2018	J	`jnl`	Lasserre Hierarchy for Large Scale Polynomial Optimization in Real and Complex Variables. SIAM J. Optim. Cédric Josz, Daniel K. Molzahn
2018	J	`jnl`	Locating and Counting Equilibria of the Kuramoto Model with Rank-One Coupling. SIAM J. Appl. Algebra Geom. Owen Coss, Jonathan D. Hauenstein, Hoon Hong, Daniel K. Molzahn
2017	J	`jnl`	A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems. IEEE Trans. Smart Grid Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg, Steven H. Low, Sambuddha Chakrabarti, Ross Baldick, Javad Lavaei
2017	J	`jnl`	Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg
2017	—	`conf`	The impact of load models in an algorithm for improving voltage stability via demand response. Allerton Mengqi Yao, Daniel K. Molzahn, Johanna L. Mathieu
2016	—	`conf`	Calculation of Voltage Stability Margins and Certification of Power Flow Insolvability Using Second-Order Cone Programming. HICSS Daniel K. Molzahn, Ian A. Hiskens, Bernard C. Lesieutre
2016	—	`conf`	Computational analysis of sparsity-exploiting moment relaxations of the OPF problem. PSCC Daniel K. Molzahn, Ian A. Hiskens, Cédric Josz, Patrick Panciatici
2016	J	`jnl`	Convex Relaxations of Optimal Power Flow Problems: An Illustrative Example. IEEE Trans. Circuits Syst. I Regul. Pap. Daniel K. Molzahn, Ian A. Hiskens
2016	—	`conf`	Error bounds on the DC power flow approximation: A convex relaxation approach. CDC Krishnamurthy Dvijotham, Daniel K. Molzahn
2016	C	`conf`	Introduction to the power flow equations and moment/sum-of-squares relaxations of optimal power flow problems. ACC Daniel K. Molzahn
2016	J	`jnl`	Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems. CoRR Daniel K. Molzahn, Matthew E. Niemerg, Dhagash Mehta, Jonathan D. Hauenstein
2016	—	`conf`	Moment relaxations of optimal power flow problems: Beyond the convex hull. GlobalSIP Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens
2016	C	`conf`	Recent advances in computational methods for the power flow equations. ACC Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
2016	C	`conf`	Toward topologically based upper bounds on the number of power flow solutions. ACC Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
2015	J	`jnl`	Recent Advances in Computational Methods for the Power Flow Equations. CoRR Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
2015	C	`conf`	Semidefinite relaxations of equivalent optimal power flow problems: An illustrative example. ISCAS Daniel K. Molzahn, Sina S. Baghsorkhi, Ian A. Hiskens
2015	—	`conf`	Solution of optimal power flow problems using moment relaxations augmented with objective function penalization. CDC Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens, Patrick Panciatici
2015	J	`jnl`	Toward Topologically Based Upper Bounds on the Number of Power Flow Solutions. CoRR Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
2014	—	`conf`	Advanced optimization methods for power systems. PSCC Patrick Panciatici, Marco C. Campi, Simone Garatti, Steven H. Low, Daniel K. Molzahn, Andy X. Sun, Louis Wehenkel
2014	—	`conf`	Investigation of Non-zero Duality Gap Solutions to a Semidefinite Relaxation of the Optimal Power Flow Problem. HICSS Daniel K. Molzahn, Bernard C. Lesieutre, Christopher L. DeMarco
2014	—	`conf`	Moment-based relaxation of the optimal power flow problem. PSCC Daniel K. Molzahn, Ian A. Hiskens
2013	J	`jnl`	Initializing Dynamic Power System Simulations Using Eigenvalue Formulations of the Induction Machine and Power Flow Models. IEEE Trans. Circuits Syst. I Regul. Pap. Daniel K. Molzahn, Bernard C. Lesieutre
2013	—	`conf`	Power system structure and confidentiality preserving transformation of Optimal Power Flow problem. Allerton Alexander R. Borden, Daniel K. Molzahn, Bernard C. Lesieutre, Parmeswaran Ramanathan
2012	—	`conf`	Confidentiality-preserving optimal power flow for cloud computing. Allerton Conference Alexander R. Borden, Daniel K. Molzahn, Parmeswaran Ramanathan, Bernard C. Lesieutre
2011	—	`conf`	Examining the limits of the application of semidefinite programming to power flow problems. Allerton Bernard C. Lesieutre, Daniel K. Molzahn, Alexander R. Borden, Christopher L. DeMarco
2011	—	`conf`	Topological and Impedance Element Ranking (TIER) of the Bulk-Power System. HICSS Daniel R. Schwarting, Daniel K. Molzahn, Christopher L. DeMarco, Bernard C. Lesieutre
2010	C	`conf`	An eigenvalue formulation for determining initial conditions of induction machines in dynamic power system simulations. ISCAS Daniel K. Molzahn, Bernard C. Lesieutre