Miguel F. Anjos
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Optimizing strategies for short-term hydropower scheduling using a blackbox optimization framework
This paper presents a study on the best possible use of optimization models for the short-term hydropower scheduling problem. Different deterministic and sto...
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For planning the operation of power transmission systems, which transport the energy produced by generation plants to customers centers, it is essential to e...
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This paper studies the properties of a stochastic optimization model for the short-term hydropower generation problem with uncertain inflows. The uncertaint...
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Every component of an electric power system is susceptible to failure. The power transmission system connects generating units to local distribution systems,...
référence BibTeXPleiad: An open-source modeling package for exploring residential flexibility in the smart grid
La réponse à la demande est aujourd'hui considérée comme un levier majeur parmi les solutions possibles pour faire face au changement climatique, si elle est...
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A new business opportunity is emerging with the combination of three key market trends: (1) Increased penetration of residential solar PV; (2) Rapid reductio...
référence BibTeXOn the impact of the power production function approximation on hydropower maintenance scheduling
Maintenance planning for hydropower plants is a crucial problem. In this paper, we evaluate the impact of the Hydropower Production Function (HPF) formulatio...
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The accessibility and reducing cost of distributed renewable energy sources are stimulating the emergence of small-scale residential prosumers who can produc...
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While one can exploit the storage properties and thus the deferability or anticipation potential of many classes of power system loads (such as thermal loads...
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This work considers the graph partitioning problem known as maximum k-cut. It focuses on investigating features of a branch-and-bound method to efficiently...
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The energy landscape is marked by a rapid emergence of electricity prosumers at all levels of the grid. While energy policy seems to be more adaptive to the ...
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This paper presents a linear mixed-integer formulation to solve the short-term unit commitment problem. It determines the pair of maximum efficiency points o...
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We consider the use of demand response to address phase unbalance in a distribution grid. At present this problem is addressed by modifying the topology of t...
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Intermittent renewable energy, such as solar and wind, brings uncertainty into the grid. To increase their contribution into the energy mix, load management ...
référence BibTeXTulip: An open-source interior-point linear optimization solver with abstract linear algebra
This paper introduces the algorithmic design and implementation of Tulip, an open-source interior-point solver for linear optimization. It implements the ho...
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Computational speed and global optimality are a key need for pratical algorithms of the OPF problem. Recently, we proposed a tight-and-cheap conic relaxation...
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In demand-response programs, aggregators balance the needs of generation companies and end-users. This work proposes a two-phase framework that shaves the ag...
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Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all h...
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The optimal reactive power dispatch (ORPD) problem is an alternating current optimal power flow (ACOPF) problem where discrete control devices for regulating...
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We present a new strategic multi-period optimization problem for the siting of electric vehicle (EV) charging stations. One main novelty in this problem is t...
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