Daniel K. Molzahn

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 64

Top Topics

Distribution Network

Optimization Methods

Top Venues

Publications

Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
Sample-Based Conservative Bias Linear Power Flow Approximations. CoRR (2024)
Madeleine Pollack, Ryan Piansky, Swati Gupta, Alyssa Kody, Daniel K. Molzahn
Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices. CoRR (2024)
Rahul K. Gupta, Daniel K. Molzahn
Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks. CoRR (2024)
Rahul K. Gupta, Daniel K. Molzahn
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks. CoRR (2024)
Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations. CoRR (2024)
Mohannad Alkhraijah, Daniel K. Molzahn
A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms. CoRR (2024)
Paprapee Buason, Sidhant Misra, Jean-Paul Watson, Daniel K. Molzahn
Adaptive Power Flow Approximations with Second-Order Sensitivity Insights. CoRR (2024)
Ryan Piansky, Georgia Stinchfield, Alyssa Kody, Daniel K. Molzahn, Jean-Paul Watson
Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging. CoRR (2024)
Gustav Nilsson, Alejandro D. Owen Aquino, Samuel Coogan, Daniel K. Molzahn
GreenEVT: Greensboro Electric Vehicle Testbed. IEEE Syst. J. 18 (1) (2024)
Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn
Optimized LinDistFlow for High-Fidelity Power Flow Modeling of Distribution Networks. CoRR (2024)
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
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. Oper. Res. 71 (6) (2023)
Olga Kuryatnikova, Bissan Ghaddar, Daniel K. Molzahn
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow. SIAM J. Optim. 33 (4) (2023)
Mohannad Alkhraijah, Rachel Harris, Carleton Coffrin, Daniel K. Molzahn
PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms. CoRR (2023)
Babak Taheri, Daniel K. Molzahn
Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models. ACC (2023)
Mohannad Alkhraijah, Rachel Harris, Samuel Litchfield, David Huggins, Daniel K. Molzahn
Detecting Shared Data Manipulation in Distributed Optimization Algorithms. CoRR (2023)
Rachel Harris, Mohannad Alkhraijah, Daniel K. Molzahn
Optimally Managing the Impacts of Convergence Tolerance for Distributed Optimal Power Flow. CoRR (2023)
Ali Jalilian, Babak Taheri, Daniel K. Molzahn
Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems. CoRR (2023)
Babak Taheri, Daniel K. Molzahn
Optimizing Parameters of the DC Power Flow. CoRR (2023)
Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong
A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. Oper. Res. 71 (6) (2023)
Babak Taheri, Daniel K. Molzahn
AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm. CoRR (2023)
Babak Taheri, Daniel K. Molzahn
AC Power Flow Informed Parameter Learning for DC Power Flow Network Equivalents. CoRR (2023)
Gustav Nilsson, Alejandro D. Owen Aquino, Samuel Coogan, Daniel K. Molzahn
GreenEVT: Greensboro Electric Vehicle Testbed. CoRR (2023)
Alejandro D. Owen Aquino, Samuel Talkington, Daniel K. Molzahn
Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling. CoRR (2023)
Alyssa Kody, Ryan Piansky, Daniel K. Molzahn
Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk. CoRR (2022)
Babak Taheri, Daniel K. Molzahn
Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models. CoRR (2022)
Alyssa Kody, Amanda West, Daniel K. Molzahn
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CDC (2022)
Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems. CoRR (2022)
Jianzhe Liu, Bai Cui, Daniel K. Molzahn, Chen Chen, Xiaonan Lu, Feng Qiu
Optimal Power Flow in DC Networks With Robust Feasibility and Stability Guarantees. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Samuel Talkington, Daniel Turizo, Santiago Grijalva, Jorge Fernandez, Daniel K. Molzahn
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections. CoRR (2022)
Alyssa Kody, Amanda West, Daniel K. Molzahn
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CoRR (2022)
Babak Taheri, Daniel K. Molzahn, Santiago Grijalva
Improving Distribution System Resilience by Undergrounding Lines and Deploying Mobile Generators. CoRR (2022)
Sikun Xu, Ruoyi Ma, Daniel K. Molzahn, Hassan Hijazi, Cédric Josz
Verifying Global Optimality of Candidate Solutions to Polynomial Optimization Problems using a Determinant Relaxation Hierarchy. CDC (2021)
Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR (2021)
Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. CoRR (2021)
Mohannad Alkhraijah, Carlos Menendez, Daniel K. Molzahn
Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communication. CoRR (2021)
Daniel Turizo, Daniel K. Molzahn
Invertibility Conditions for the Admittance Matrices of Balanced Power Systems. CoRR (2020)
Cédric Josz, Daniel K. Molzahn, Matteo Tacchi, Somayeh Sojoudi
Transient Stability Analysis of Power Systems via Occupation Measures. ISGT (2019)
Daniel K. Molzahn, Jianhui Wang
Detection and Characterization of Intrusions to Network Parameter Data in Electric Power Systems. IEEE Trans. Smart Grid 10 (4) (2019)
Daniel K. Molzahn, Line A. Roald
Grid-Aware versus Grid-Agnostic Distribution System Control: A Method for Certifying Engineering Constraint Satisfaction. HICSS (2019)
Mengqi Yao, Daniel K. Molzahn, Johanna L. Mathieu
An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Line A. Roald, Daniel K. Molzahn
Implied Constraint Satisfaction in Power System optimization: The Impacts of Load Variations. Allerton (2019)
Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis
Efficient Creation of Datasets for Data-Driven Power System Applications. CoRR (2019)
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
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms. CoRR (2019)
Cédric Josz, Daniel K. Molzahn
Lasserre Hierarchy for Large Scale Polynomial Optimization in Real and Complex Variables. SIAM J. Optim. 28 (2) (2018)
Mohammad Rasoul Narimani, Daniel K. Molzahn, Harsha Nagarajan, Mariesa L. Crow
Comparison of Various Trilinear Monomial Envelopes for Convex Relaxations of Optimal Power Flow Problems. GlobalSIP (2018)
Daniel K. Molzahn
Identifying and Characterizing Non-Convexities in Feasible Spaces of Optimal Power Flow Problems. IEEE Trans. Circuits Syst. II Express Briefs (5) (2018)
Mohammad Rasoul Narimani, Daniel K. Molzahn, Dan Wu, Mariesa L. Crow
Empirical Investigation of Non-Convexities in Optimal Power Flow Problems. ACC (2018)
Owen Coss, Jonathan D. Hauenstein, Hoon Hong, Daniel K. Molzahn
Locating and Counting Equilibria of the Kuramoto Model with Rank-One Coupling. SIAM J. Appl. Algebra Geom. 2 (1) (2018)
Mengqi Yao, Daniel K. Molzahn, Johanna L. Mathieu
The impact of load models in an algorithm for improving voltage stability via demand response. Allerton (2017)
Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid 8 (6) (2017)
Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg, Steven H. Low, Sambuddha Chakrabarti, Ross Baldick, Javad Lavaei
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems. IEEE Trans. Smart Grid 8 (6) (2017)
Daniel K. Molzahn
Introduction to the power flow equations and moment/sum-of-squares relaxations of optimal power flow problems. ACC (2016)
Daniel K. Molzahn, Matthew E. Niemerg, Dhagash Mehta, Jonathan D. Hauenstein
Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems. CoRR (2016)
Daniel K. Molzahn, Ian A. Hiskens, Bernard C. Lesieutre
Calculation of Voltage Stability Margins and Certification of Power Flow Insolvability Using Second-Order Cone Programming. HICSS (2016)
Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens
Moment relaxations of optimal power flow problems: Beyond the convex hull. GlobalSIP (2016)
Krishnamurthy Dvijotham, Daniel K. Molzahn
Error bounds on the DC power flow approximation: A convex relaxation approach. CDC (2016)
Daniel K. Molzahn, Ian A. Hiskens
Convex Relaxations of Optimal Power Flow Problems: An Illustrative Example. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2016)
Daniel K. Molzahn, Ian A. Hiskens, Cédric Josz, Patrick Panciatici
Computational analysis of sparsity-exploiting moment relaxations of the OPF problem. PSCC (2016)
Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
Toward topologically based upper bounds on the number of power flow solutions. ACC (2016)
Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
Recent advances in computational methods for the power flow equations. ACC (2016)
Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
Toward Topologically Based Upper Bounds on the Number of Power Flow Solutions. CoRR (2015)
Daniel K. Molzahn, Sina S. Baghsorkhi, Ian A. Hiskens
Semidefinite relaxations of equivalent optimal power flow problems: An illustrative example. ISCAS (2015)
Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens, Patrick Panciatici
Solution of optimal power flow problems using moment relaxations augmented with objective function penalization. CDC (2015)
Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
Recent Advances in Computational Methods for the Power Flow Equations. CoRR (2015)
Daniel K. Molzahn, Ian A. Hiskens
Moment-based relaxation of the optimal power flow problem. PSCC (2014)
Patrick Panciatici, Marco C. Campi, Simone Garatti, Steven H. Low, Daniel K. Molzahn, Andy X. Sun, Louis Wehenkel
Advanced optimization methods for power systems. PSCC (2014)
Daniel K. Molzahn, Bernard C. Lesieutre, Christopher L. DeMarco
Investigation of Non-zero Duality Gap Solutions to a Semidefinite Relaxation of the Optimal Power Flow Problem. HICSS (2014)
Daniel K. Molzahn, Bernard C. Lesieutre
Initializing Dynamic Power System Simulations Using Eigenvalue Formulations of the Induction Machine and Power Flow Models. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2013)
Alexander R. Borden, Daniel K. Molzahn, Bernard C. Lesieutre, Parmeswaran Ramanathan
Power system structure and confidentiality preserving transformation of Optimal Power Flow problem. Allerton (2013)
Alexander R. Borden, Daniel K. Molzahn, Parmeswaran Ramanathan, Bernard C. Lesieutre
Confidentiality-preserving optimal power flow for cloud computing. Allerton Conference (2012)
Daniel R. Schwarting, Daniel K. Molzahn, Christopher L. DeMarco, Bernard C. Lesieutre
Topological and Impedance Element Ranking (TIER) of the Bulk-Power System. HICSS (2011)
Bernard C. Lesieutre, Daniel K. Molzahn, Alexander R. Borden, Christopher L. DeMarco
Examining the limits of the application of semidefinite programming to power flow problems. Allerton (2011)
Daniel K. Molzahn, Bernard C. Lesieutre
An eigenvalue formulation for determining initial conditions of induction machines in dynamic power system simulations. ISCAS (2010)