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About

Filipe Joel Soares received the Physics degree (five-year course) from the Faculty of Sciences and an Electrical Engineering (Renewable Energies) Postgrad from Porto University, Porto, Portugal, in 2004 and 2007, respectively. He also received the Ph.D. degree in Sustainable Energy Systems, in the MIT|Portugal Program, from Porto University, Porto, Portugal, in 2012.

Currently he is a Senior Researcher in the Centre for Power and Energy Systems of INESC Porto and Assistant Professor in the Lusophone University of Porto. His research activity is directed towards the integration of distributed energy resources (i.e. controllable loads, electric vehicles, renewable energy sources and stationary storage) in distribution grids, as well as to the development of advanced algorithms and functionalities for their management and participation in electricity markets.

He is author of more than 50 papers in international journals and conferences.

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Details

Details

  • Name

    Filipe Joel Soares
  • Cluster

    Power and Energy
  • Role

    Area Manager
  • Since

    01st April 2008
026
Publications

2020

Wind variability mitigation using multi-energy systems

Authors
Coelho, A; Neyestani, N; Soares, F; Lopes, JP;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
Around the world, there is a great concern with the emission of greenhouse gases, creating great interest in turning the energy systems more sustainable. Multi-energy systems are considered as a potential solution to help to this cause and in recent years, it has gained much attention from both research and industry. In this paper, an optimization model is proposed to use the flexibility of multi-energy systems to mitigate the uncertainty associated with wind generation. The differences between the flexibility provided by multi-energy systems and electrical storage systems in the network were studied. The results prove that the flexibility of the multi-energy systems can benefit the system in several aspects and provide insights on which is the best approach to take full advantage of renewable resources even when a high degree of uncertainty is present. © 2019 Elsevier Ltd

2020

An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty

Authors
Tavares, B; Soares, FJ;

Publication
Electric Power Systems Research

Abstract

2020

DER Adopter Analysis using Spatial Autocorrelation and Information Gain Ratio under different Census-data Aggregation Levels

Authors
Heymann, F; Lopes, M; vom Scheidt, F; Silva, JM; Duenas, P; Soares, FJ; Miranda, V;

Publication
IET Renewable Power Generation

Abstract

2020

Flexibility assessment of multi-energy residential and commercial buildings

Authors
Coelho, A; Soares, F; Lopes, JP;

Publication
Energies

Abstract
With the growing concern about decreasing CO2 emissions, renewable energy sources are being vastly integrated in the energy systems worldwide. This will bring new challenges to the network operators, which will need to find sources of flexibility to cope with the variable-output nature of these technologies. Demand response and multi-energy systems are being widely studied and considered as a promising solution to mitigate possible problems that may occur in the energy systems due to the large-scale integration of renewables. In this work, an optimal model to manage the resources and loads within residential and commercial buildings was developed, considering consumers preferences, electrical network restrictions and CO2 emissions. The flexibility that these buildings can provide was analyzed and quantified. Additionally, it was shown how this model can be used to solve technical problems in electrical networks, comparing the performance of two scenarios of flexibility provision: flexibility obtained only from electrical loads vs. flexibility obtained from multi-energy loads. It was proved that multi-energy systems bring more options of flexibility, as they can rely on non-electrical resources to supply the same energy needs and thus relieve the electrical network. It was also found that commercial buildings can offer more flexibility during the day, while residential buildings can offer more during the morning and evening. Nonetheless, Multi-Energy System (MES) buildings end up having higher CO2 emissions due to a higher consumption of natural gas. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

2019

Trading Small Prosumers Flexibility in the Energy and Tertiary Reserve Markets

Authors
Iria, JP; Soares, FJ; Matos, MA;

Publication
IEEE Transactions on Smart Grid

Abstract

Supervised
thesis

2019

Multi Energy System Operation and Planning

Author
António Manuel Freitas Coelho

Institution
UP-FEUP

2019

Coordinated Operation of Peer-to-Peer Electricity Markets and Client-to-DSO Flexibility Markets

Author
Nuno Miguel Soares da Fonseca

Institution
UP-FEUP

2016

Synergies between Electric Vehicles and Dispersed Renewable generation in a GIS Environment under Information Theory Criteria

Author
Fabian Heymann

Institution
UP-FEUP

2015

Enabling Active Demanding Response in Smart Grids

Author
José Pedro Barreira iria

Institution
UP-FEUP