85 citations · 151 across the 32 of their papers we have counts for
40 papers
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…
The Cooperative Maximal Covering Location Problem with ordered partial attractions
Concepción Domínguez, Ricardo Gázquez, Juan Miguel Morales +1
The Maximal Covering Location Problem (MCLP) is a classical location problem where a company maximizes the demand covered by placing a given number of facilities, and each demand n…
Data Valuation from Data-Driven Optimization
Robert Mieth, Juan M. Morales, H. Vincent Poor
With the ongoing investment in data collection and communication technology in power systems, data-driven optimization has been established as a powerful tool for system operators…
Learning-Assisted Optimization for Transmission Switching
Salvador Pineda, Juan Miguel Morales, Asunción Jiménez-Cordero
The design of new strategies that exploit methods from Machine Learning to facilitate the resolution of challenging and large-scale mathematical optimization problems has recently…
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…
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…