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End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch
The paper proposes a novel End-to-End Learning and Repair (E2ELR) architecture for training optimization proxies for economic dispatch …
Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
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Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch
The Security-Constrained Economic Dispatch (SCED) is a fundamental optimization model for Transmission System Operators (TSO) to clear …
Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
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A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow Problems
This paper proposes a novel and simple linear model to capture line losses for use in linearized DC models, such as optimal power flow …
Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
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Data-Driven Time Series Reconstruction for Modern Power Systems Research
A critical aspect of power systems research is the availability of suitable data, access to which is limited by privacy concerns and …
Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
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Disjunctive cuts for mixed-integer conic optimization
This paper studies disjunctive cutting planes in Mixed-Integer Conic Programming. Building on conic duality, we formulate a …
Andrea Lodi, Mathieu Tanneau, Juan-Pablo Vielma
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Disjunctive cuts for mixed-integer conic optimization
Learning Regionally Decentralized AC Optimal Power Flows with ADMM
One potential future for the next generation of smart grids is the use of decentralized optimization algorithms and secured …
Terrence W.K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
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Design and implementation of a modular interior-point solver for linear optimization
This paper introduces the algorithmic design and implementation of Tulip, an open-source interior-point solver for linear optimization. …
Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi
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Learning chordal extensions
A highly influential ingredient of many techniques designed to exploit sparsity in numerical optimization is the so-called chordal …
Defeng Liu, Andrea Lodi, Mathieu Tanneau
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A Decentralized Framework for the Optimal Coordination of Distributed Energy Resources
Demand-response aggregators are faced with the challenge of how to best manage numerous and heterogeneous distributed energy resources …
Miguel Anjos, Andrea Lodi, Mathieu Tanneau
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