42 citations · 48 across the 4 of their papers we have counts for
5 papers
Learning Regionally Decentralized AC Optimal Power Flows with ADMM
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau +1
One potential future for the next generation of smart grids is the use of decentralized optimization algorithms and secured communications for coordinating renewable generation (e.…
Risk-Aware Control and Optimization for High-Renewable Power Grids
Neil Barry, Minas Chatzos, Wenbo Chen +10
The transition of the electrical power grid from fossil fuels to renewable sources of energy raises fundamental challenges to the market-clearing algorithms that drive its operatio…
Data-Driven Time Series Reconstruction for Modern Power Systems Research
Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
A critical aspect of power systems research is the availability of suitable data, access to which is limited by privacy concerns and the sensitive nature of energy infrastructure.…
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
Minas Chatzos, Terrence W. K. Mak, Pascal Van Hentenryck
This paper proposes a novel machine-learning approach for predicting AC-OPF solutions that features a fast and scalable training. It is motivated by the two critical considerations…
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow
Minas Chatzos, Ferdinando Fioretto, Terrence W. K. Mak +1
The AC Optimal Power Flow (AC-OPF) is a key building block in many power system applications. It determines generator setpoints at minimal cost that meet the power demands while sa…