Standard Bundle Methods: Untrusted Models and Duality (June 20, 2018 - pdf -
1.1 MB)
The paper presents a survey of the state-of-the-art of Bundle methods for convex nondifferentiable optimization, with a focus on the efficient solution of large-scale structured problems by means of decomposition methods.
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Large-scale unit commitment under uncertainty : an updated literature survey (May 11, 2018 - pdf -
1001.5 KB)
The paper presents an updated survey of algorithmic approaches to Unit Commitment problems under uncertainty, that are the basis of the hierarchy of models in plan4res case studies.
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Large-scale Unit Commitment Under Uncertainty: an Updated Literature Survey (September 20, 2018)
Annals of Operations Research 271(1), 11—85, 2018
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Strengthening the Sequential Convex MINLP Technique by Perspective Reformulations (November 23, 2018)
Optimization Letters 13(4), 673—684, 2019, DOI 10.1007/s11590-018-1360-9
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Development of a Modular Framework for Future Energy System Analysis (December 16, 2019)
This paper gives an overview of the modeling framework that is being developed within the Horizon2020 project plan4res. In the context of energy transition, integration of high shares of renewable energies will play a vital role for achieving the proposed climate targets. This brings new challenges to modeling tools, including data construction, implementation and solution techniques. In order to address these challenges, plan4res aims to create a well-structured and highly modular framework that will provide insights into the needs of future energy systems. An overview of the central modeling aspects is given in this paper. Finally, three case studies are presented that show the adequacy and relevance of the proposed optimization framework.
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New MINLP Formulations for the Unit Commitment Problems with Ramping Constraints (February 29, 2020)
The paper presents the first complete description of the convex hull of single-Unit Commitment problems with ramping constraints and convex nonlinear objective.
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Standard Bundle Methods: Untrusted Models and Duality (April 2, 2020)
in Numerical Nonsmooth Optimization: State of the Art Algorithms, A.M. Bagirov, M. Gaudioso, N. Karmitsa, M. Mäkelä, S. Taheri (Eds.), 61—116, Springer, 2020
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Planning for the new energy landscape (January 4, 2021 - pdf -
2 MB)
A paper published in the Winter edition of EU research
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Node-Based Lagrangian Relaxations for Multicommodity Capacitated Fixed-Charge Network Design (January 13, 2021)
Discrete Applied Mathematics, to appear, 2021, DOI 10.1016/j.dam.2020.12.024
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Start-up/Shut-down MINLP Formulations for the Unit Commitment with Ramp Constraints (March 1, 2021)
in "Graphs and Combinatorial Optimization: from Theory to Applications - CTW2020 Proceedings", C. Gentile, G. Stecca, P. Ventura (Eds.), AIRO-Springer series, 335 - 347, 2021, DOI 10.1007/978-3-030-63072-0_26
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Solving Stochastic Hydrothermal Unit Com- mitment with a New Primal Recovery Tech- nique Based on Lagrangian Solutions (March 1, 2021)
International Journal of Electrical Power and Energy Systems 127, 106661, 2021, DOI 10.1016/j.ijepes.2020.106661
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