Daniel Molzahn joined the faculty of the School of Electrical and Computer Engineering at Georgia Tech in Spring 2019. Prior to this position, Dr. Molzahn was a computational engineer at Argonne National Laboratory in the Center for Energy, Environmental, and Economic Systems Analysis (CEEESA), where he currently holds an affiliate position. He was a Dow Postdoctoral Fellow in Sustainability in the Electrical Engineering and Computer Science Department at the University of Michigan. He received the B.S., M.S., and Ph.D. degrees in Electrical Engineering and the Master’s of Public Affairs degree from the University of Wisconsin-Madison, where he was a National Science Foundation Graduate Research Fellow. In his spare time, Dr. Molzahn enjoys hiking, waterskiing, and climbing. Also, as a shareholder of the world's greatest sporting franchise, he keeps an eye on his investment by watching and attending football games of the 13-time-champion Green Bay Packers football team.
- Developing optimization and control algorithms in order to improve the environmental sustainability, economic efficiency, and reliability of electric power systems
- Addressing non-linearities resulting from the power flow equations
- Developing mathematically rigorous techniques for incorporating uncertainties related to renewable generation and varying load demands
- Dow Postdoctoral Fellowship in Sustainability (University of Michigan)
- National Science Foundation Graduate Research Fellowship (University of Wisconsin—Madison)
Positions held in professional organizations:
- Vice-chair of the technical program committee for the 21st Power Systems Computation Conference (PSCC 2020)
- Guest associate editor for a special issue on distributed control and optimization in IEEE Transactions on Smart Grid
- "High Quality Paper" Award (IEEE PowerTech Manchester 2017)
- "Best Presentation in Session" Award (American Control Conference 2016)
- 2014 Harold A. Peterson Best Dissertation Award, Second Place (University of Wisconsin—Madison)
- Grainger Power Engineering Award (2010, 2008)
D.K. Molzahn and I.A. Hiskens, "A Survey of Relaxations and Approximations of the Power Flow Equations," to appear in Foundations and Trends in Electric Energy Systems, 2019.
D.K. Molzahn and L.A. Roald, "Towards an AC Optimal Power Flow Algorithm with Robust Feasibility Guarantees," 20th Power Systems Computation Conference (PSCC), June 11-15, 2018.
S. Misra, D.K. Molzahn, and K. Dvijotham, "Optimal Adaptive Linearizations of the AC Power Flow Equations," 20th Power Systems Computation Conference (PSCC), June 11-15, 2018.
D.K. Molzahn, "Identifying and Characterizing Non-Convexities in Feasible Spaces of Optimal Power Flow Problems," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 5, pp. 672-676, May 2018.
C. Josz and D.K. Molzahn, "Lasserre Hierarchy for Large Scale Polynomial Optimization in Real and Complex Variables," SIAM Journal on Optimization, vol. 28, no. 2, pp. 1017-1048, 2018.
D.K. Molzahn, F. Dorfler, H. Sandberg, S.H. Low, S. Chakrabarti, R. Baldick, and J. Lavaei, "A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems," IEEE Transactions on Smart Grid, Special Issue on Distributed Control and Efficient Optimization Methods for Smart Grid, vol. 8, no. 6, pp. 2941-2962, November 2017.
D.K. Molzahn, "Computing the Feasible Spaces of Optimal Power Flow Problems," IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4752-4763, November 2017.
D.K. Molzahn and I.A. Hiskens, "Sparsity-Exploiting Moment-Based Relaxations of the Optimal Power Flow Problem," IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 3168-3180, November 2015.
P. Panciatici, M.C. Campi, S. Garatti, S.H. Low, D.K. Molzahn, A.X. Sun, and L. Wehenkel, "Advanced Optimization Methods for Power Systems," 18th Power Systems Computation Conference (PSCC), August 18-22, 2014.
D.K. Molzahn, B.C. Lesieutre, and C.L. DeMarco, "A Sufficient Condition for Power Flow Insolvability with Applications to Voltage Stability Margins," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2592-2601, August 2013.
D.K. Molzahn, J.T. Holzer, B.C. Lesieutre, and C.L. DeMarco, "Implementation of a Large-Scale Optimal Power Flow Solver Based on Semidefinite Programming," IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 3987-3998, November 2013.
B.C. Lesieutre, D.K. Molzahn, A.R. Borden, and C.L. DeMarco, "Examining the Limits of the Application of Semidefinite Programming to Power Flow Problems," 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1492-1499, September 28-30, 2011.
Last revised August 31, 2020