Miguel Martínez Velázquez

Miguel Martínez Velázquez
Comillas Pontifical University | UPCO · Institute for Research in Technology (IIT)

Master of Science

About

6
Publications
275
Reads
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17
Citations
Additional affiliations
June 2023 - September 2024
Electric Power Research Institute
Position
  • Ph.D. Student Intern
Education
September 2022 - September 2026
Comillas Pontifical University
Field of study
  • Power Systems
September 2020 - February 2022
Technical University of Denmark
Field of study
  • Wind Energy
September 2019 - February 2022
Comillas Pontifical University
Field of study
  • Industrial Engineering

Publications

Publications (6)
Article
Full-text available
Flexibility services enable distribution system operators to actively manage the grid for accommodating demand and generation growth while potentially reducing or delaying investments in grid reinforcements. This paper proposes a novel hybrid particle swarm optimization and linear programming methodology that analyzes explicit flexibility procureme...
Article
Energy storage systems can be leveraged in electricity distribution network planning as mitigation alternatives to traditional grid reinforcements if they are strategically installed and operated to reduce congestion and voltage limit violations. This paper examines the technical and economic viability of distributed battery energy storage systems...
Article
Full-text available
New urban districts have great potential to reduce greenhouse gas emissions by electrifying energy demand in various sectors, such as transportation and buildings. This paper proposes a novel approach that combines different energy models to plan the infrastructure for supplying the energy demand of new, decarbonized, and highly electrified urban d...
Article
The progressive electrification of urban distribution fleets, motivated by the consolidation of electric vehicle technology and by the mobility advantages that cities grant to non-polluting vehicles, poses future challenges that affect electrical distribution networks. This paper simulates the main last mile distribution models that can be adopted...

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