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

Alper Atamturk

Professor
Department Chair

Javad Lavaei

Associate Professor

Shmuel Oren

Professor of the Graduate School

Zuo-Jun "Max" Shen

Professor Emeritus

Selected Publications

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.

Regulation of renewable resource exploitation

Kharroubi, Idris, Lim, Thomas, and Mastrolia, Thibaut. “Regulation of Renewable Resource Exploitation.” SIAM Journal on Control and Optimization 58, no. 1 (2020): 551-579. https://doi.org/10.1137/19M1265740

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.

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Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers

Yu, Jiayi & Tang, Christopher & Li, Musen & Shen, Max. (2020). Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers. SSRN Electronic Journal. 10.2139/ssrn.3561317.

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

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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.

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Demand-Side Energy Management under Time-Varying Prices

Liang, Yong & Deng, Tianhu & Shen, Max. (2018). Demand-Side Energy Management under Time-Varying Prices. IISE Transactions. 51. 1-39. 10.1080/24725854.2018.1504357.

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.

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Sharing demand-side energy resources – A conceptual design

Qi, Wei & Shen, Bo & Zhang, Hongcai & Shen, Zuo-Jun Max, 2017. “Sharing demand-side energy resources – A conceptual design,” Energy, Elsevier, vol. 135(C), pages 455-465.