Energy Systems Research
Energy systems research in the IEOR Department focuses on modeling, analysis, and optimization of energy systems and, in particular, power systems. Our department is affiliated with PSERC (power systems engineering research center) of which Dr. Oren is a co-founder and site director, with CERTS (center for electric reliability technology solutions). Research activities have focused on a variety of topics including power systems economics, electricity market design, energy and environmental regulation, demand response, renewables integration, energy risk management, and the development of computational tools for planning, operation, and analysis of electric power systems. The research has been funded by PSERC, DOE, ARPA-E, NSF, FERC, CERTS, EPRI, LLNL, and the SIEMENS Co. The program boasts a long list of distinguished alums that currently hold academic faculty positions in power systems, economics, and operations research and executive positions in energy-related industries including electric utilities, energy trading, and consulting companies.
Faculty
Selected Publications
Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation
Park, Sangwoo & Mohammadi-Ghazi, Reza & Lavaei, Javad. (2021). Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access. PP. 1-1. 10.1109/ACCESS.2021.3118036.
An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
Park, Sangwoo & Glista, Elizabeth & Lavaei, Javad & Sojoudi, Somayeh. (2022). An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality. IEEE Access. PP. 1-1. 10.1109/ACCESS.2022.3224162.
Uniqueness of Power Flow Solutions Using Graph-theoretic Notions
Zhang, Haixiang & Park, Sangwoo & Lavaei, Javad & Baldick, R.. (2020). Uniqueness of Power Flow Solutions Using Graph-theoretic Notions.
Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow
T. Altun, R. Madani, A. Atamtürk, R.Baldick, A. Davoudi. Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow. BCOL Research Report 21.01, IEOR, University of California-Berkeley.
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow
Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, conditionally accepted for IEEE Transactions on Control of Network Systems, 2020.
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow
Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, conditionally accepted for IEEE Transactions on Control of Network Systems, 2020.
Optimal Black Start Allocation for Power System Restoration
Georgios Patsakis, Deepak Rajan, Ignacio Aravena, Jennifer Rios and Shmuel Oren, “Optimal Black Start Allocation for Power System Restoration”, IEEE PES Transactions, Vol. 33, No. 6, (2018) pp 6766-6776
A Bound Strengthening Method for Optimal Transmission Switching in Power Systems
Salar Fattahi, Javad Lavaei and Alper Atamturk. A Bound Strengthening Method for Optimal Transmission Switching in Power Systems. IEEE Transactions on Power Systems 34, 280-291, 2019. https://ieeexplore.ieee.org/document/8451930.
A Mixed-Integer Linear Programming Method for Optimal Orificing in Breed-and-Burn Cores
Chris Keckler, Alper Atamturk, Massimiliano Fratoni and Ehud Greenspan. A Mixed-Integer Linear Programming Method for Optimal Orificing in Breed-and-Burn Cores. Transactions of the American Nuclear Society, Vol. 118, 887-890, 2018. https://atamturk.ieor.berkeley.edu/pubs/orificing.pdf.
Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks
Ming Jin, Javad Lavaei, and Karl Henrik Johansson, Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks, to appear in IEEE Transactions on Automatic Control, 2018.