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About

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.

Interest
Topics
Details

Details

  • Name

    Filipe Joel Soares
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    01st April 2008
010
Publications

2017

Assessing the Impact of Demand Flexibility on Distribution Network Operation

Authors
Tavares, BD; Sumaili, J; Soares, FJ; Madureira, AG; Ferreira, R;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
This paper presents a study about the influence of Distributed Energy Resources' (DER) flexibility on the operation of a Medium Voltage (MV) network, in a Smart Grid (SG) environment. An AC multi-temporal Optimal Power Flow (OPF) tool was developed and used to simulate the impact of the DER flexibility (including storage devices, EVs, controllable loads and micro-generation) in distribution network operation. Some simulations are presented, demonstrating the impact that DER flexibility can have on solving operation problems namely in terms of branch loading and voltage limits.

2017

A novel incentive-based retail demand response program for collaborative participation of small customers

Authors
Zehir, MA; Wevers, MH; Batman, A; Bagriyanik, M; Hurink, JL; Kucuk, U; Soares, FJ; Ozdemir, A;

Publication
2017 IEEE Manchester PowerTech, Powertech 2017

Abstract
Integration of aggregated demand response into the wholesale electricity market is an emerging field of research. Contrary to conventional service providers, most of the demand side participants act voluntarily. However, due to wholesale market regulations, reliable and effective participation of huge numbers of customers is a vital task for aggregators. The existing retail programs aim to motivate customers to take part in events in return for static or individual performance-based incentives. These programs do not focus on engaging customers to act in a collaborative way and therefore have limited effectiveness. This study proposes a novel retail demand response program in which the incentives are dependent on the aggregated performance of participants. Considering the existing wholesale and retail market structures together with demand response aggregator responsibilities, an adaptable program is developed for more effective performance and indirect collaboration of customers. The contribution of the program is compared with a number of different DR programs adopting concepts from game theory. © 2017 IEEE.

2017

Assessing the Adaption of Stochastic Clearing Procedure to a Hydro-penetrated Market

Authors
Neyestani, N; Soares, FJ; Alves, R; Reis, FS; Pastor, R;

Publication
2017 14TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM 17)

Abstract
Vast increase of renewable energy resources' (RER) share in total electricity production have led to evolving studies regarding different aspects of renewables integration. Other than their effects on network, the electricity markets are also affected by uncertain behavior of RERs in the market place. Hence, new approaches for market clearing are investigated. One of the possible solutions is the deployment of stochastic market clearing. However, the adaption of new market models should consider different market characteristics. As a result, this paper assesses the adaption of stochastic market in a hydro-penetrated system. The co-optimized energy and reserve schedule in the day-ahead time frame is derived using the mixed integer linear programming (MILP). The model is tested with Portuguese electricity market data as a real-case of hydro-penetrated system.

2016

Control and Management Architectures

Authors
Matos, MA; Seca, L; Madureira, AG; Soares, FJ; Bessa, RJ; Pereira, J; Peças Lopes, J;

Publication
Smart Grid Handbook

Abstract

2016

Impact of PV for Self-consumption in the Day-ahead Spot Prices

Authors
Soares, FJ; Iria, JP; Sousa, JC; Mendes, V; Nunes, AC;

Publication
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)

Abstract
This paper presents an analysis of the impacts of photovoltaics and storage units for self-consumption in the day-ahead spot prices. A methodology is proposed, to access these impacts in the Iberian electricity market for 2015, 2020 and 2030.

Supervised
thesis

2017

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