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20192023
most citedUnifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations

3 citations · 4 across the 4 of their papers we have counts for

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5 papers · 1 filter

math.OC2023

Tight Big-Ms for Optimal Transmission Switching

Salvador Pineda, Juan Miguel Morales, Álvaro Porras +1

This paper addresses the Optimal Transmission Switching (OTS) problem in electricity networks, which aims to find an optimal power grid topology that minimizes system operation cos…

math.OC2023★ 3 cited

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations

Álvaro Porras, Line Roald, Juan Miguel Morales +1

Uncertainty in renewable energy generation has the potential to adversely impact the operation of electric networks. Numerous approaches to manage this impact have been proposed, r…

math.OC2022★ 1 cited

Tight and Compact Sample Average Approximation for Joint Chance-constrained Problems with Applications to Optimal Power Flow

Álvaro Porras, Concepción Domínguez, Juan M. Morales +1

In this paper, we tackle the resolution of chance-constrained problems reformulated via Sample Average Approximation. The resulting data-driven deterministic reformulation takes th…

math.OC2021

Cost-driven Screening of Network Constraints for the Unit Commitment Problem

Álvaro Porras, Salvador Pineda, Juan M. Morales +1

In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-learning and optimization-based methods have been proposed to lighten the full UC formulati…

math.OC2020

An Efficient Robust Approach to the Day-ahead Operation of an Aggregator of Electric Vehicles

Álvaro Porras, Ricardo Fernández-Blanco, Juan M. Morales +1

The growing use of electric vehicles (EVs) may hinder their integration into the electricity system as well as their efficient operation due to the intrinsic stochasticity associat…