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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.

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Details

Details

  • Name

    Filipe Joel Soares
  • Role

    Area Manager
  • Since

    01st April 2008
033
Publications

2024

Handling der Market Participation: Market Redesign vs Network Augmentation

Authors
Fonseca N.S.; Soares F.; Iria J.;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper proposes a planning optimization model to help distribution system operators (DSOs) decide on the most cost-effective investments to handle the wholesale market participation of distributed energy resources (DERs). Two investment options are contemplated: market redesign; and network augmentation. The market redesign is employed through a DSO framework used to coordinate the network-secure participation of DERs in wholesale markets. Network augmentation is achieved by investing in new HV/MV OLTC and MV/LV transformers. To evaluate the performance of our planning model, we used the IEEE 69-bus network with three DER aggregators operating under different DER scenarios. Our tests show that the planning problem suggests investment decisions that can help DSOs guarantee network security. Market redesign has shown to be the most cost-effective option. However, this option is not always viable, namely in scenarios where not enough DERs are available to provide network support services. In such scenarios, hybrid investment solutions are required.

2024

VPP Participation in the FCR Cooperation Considering Opportunity Costs

Authors
Ribeiro, FJ; Lopes, JAP; Soares, FJ; Madureira, AG;

Publication
APPLIED SCIENCES-BASEL

Abstract
Currently, the transmission system operators (TSOs) from Portugal and Spain do not procure a frequency containment reserve (FCR) through market mechanisms. In this context, a virtual power plant (VPP) that aggregates sources, such as wind and solar power and hydrogen electrolyzers (HEs), would benefit from future participation in this ancillary service market. The methodology proposed in this paper allows for quantifying the revenues of a VPP that aggregates wind and solar power and HEs, considering the opportunity costs of these units when reserving power for FCR participation. The results were produced using real data from past FCR market sessions. Using market data from 2022, a VPP that aggregates half of the HEs and is expected to be connected in the country by 2025 will have revenues over EUR 800k, of which EUR 90k will be HEs revenues.

2024

Economic Viability Analysis of a Renewable Energy System for Green Hydrogen and Ammonia Production

Authors
Félix P.; Oliveira F.; Soares F.J.;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper presents a methodology for assessing the long-term economic feasibility of renewable energy-based systems for green hydrogen and ammonia production. A key innovation of this approach is the incorporation of a predictive algorithm that optimizes day-ahead system operation on an hourly basis, aiming to maximize profit. By integrating this feature, the methodology accounts for forecasting errors, leading to a more realistic economic evaluation. The selected case study integrates wind and PV as renewable energy sources, supplying an electrolyser and a Haber-Bosch ammonia production plant. Additionally, all supporting equipment, including an air separation unit for nitrogen production, compressors, and hydrogen / nitrogen / ammonia storage devices, is also considered. Furthermore, an electrochemical battery is included, allowing for an increased electrolyser load factor and smoother operating regimes. The results demonstrate the effectiveness of the proposed methodology, providing valuable insights and performance indicators for this type of energy systems, enabling informed decision-making by investors and stakeholders.

2023

Real-time management of distributed multi-energy resources in multi-energy networks

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

Publication
SUSTAINABLE ENERGY GRIDS & NETWORKS

Abstract
The replacement of fossil fuel power plants by variable renewable energy sources is reducing the flexibility of the energy system, which puts at risk its security. Exploiting the flexibility of distributed multi-energy resources through aggregators presents a solution for this problem. In this context, this paper presents a new hierarchical model predictive control framework to assist multi-energy aggregators in the network-secure delivery of multi-energy services traded in electricity, natural gas, green hydrogen, and carbon markets. This work builds upon and complements a previous work from the same authors related to bidding strategies for day-ahead markets - it closes the cycle of aggregators' participation in multi-energy markets, i.e., day-ahead bidding and real-time activation of flexibility services. This new model predictive control framework uses the alternating direction method of multipliers on a rolling horizon to negotiate the network-secure delivery of multi-energy services between aggregators and distribution system operators of electricity, gas, and heat networks. We used the new model predictive control framework to conduct two studies. In the first study, we found that considering multi-energy network constraints at both day-ahead and real-time optimization stages produces the most cost-effective and reliable solution to aggregators, outperforming state-of-the-art approaches in terms of cost and network security. In the second study, we found that the adoption of a green hydrogen policy by multi-energy aggregators can reduce their consumption of natural gas and respective CO2 emissions significantly if carbon and green hydrogen prices are competitive.& COPY; 2023 Elsevier Ltd. All rights reserved.

2023

TSO-DSO Coordinated Operational Planning in the Presence of Shared Resources

Authors
Simões, M; Madureira, G; Soares, F; Lopes, JP;

Publication
2023 IEEE Belgrade PowerTech, PowerTech 2023

Abstract
Electric power systems are currently experiencing a profound change, as increasing amounts of Renewable Energy Sources (RESs) displace conventional forms of generation. This development has gone hand-in-hand with an increasing share of distributed power generation being connected directly to the Distribution Network (DN), and the widespread of other types of Distributed Energy Resources (DERs), such as Energy Storage Sytems (ESSs), Electric Vehicles (EVs), and active (flexible) consumers. As these trends are expected to continue, this will require a profound revision of the way Transmission System Operators (TSOs) and Distribution System Operators (DSOs) interact with each other to fully benefit from the growing flexibility that is available at the DN level. In this work we propose a new tool for the coordinated operational planning of transmission and distribution systems, considering the existence of shared resources that can be simultaneously used by TSO and DSOs for the optimal operation of their networks. The tool uses advanced distributed optimization techniques, namely the Alternating Direction Method of Multipliers (ADMM) in order to maintain data privacy of the several agents involved in the optimization problem, and keep the tractability of the problem. The proposed tool is applied to modified IEEE test systems, and the results obtained highlight the benefits of the proposed coordination mechanism to solve problems occurring simultaneously at the transmission and DN-levels. © 2023 IEEE.

Supervised
thesis

2023

Impacts of energy sector - Decarbonization on electrical power systems

Author
Bruna Daniela Costa Tavares

Institution
INESCTEC

2023

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

Author
Nuno Miguel Soares da Fonseca

Institution
INESCTEC

2023

Network-Secure Participation of Aggregators of Multi-Energy Systems in Multi-Energy Markets

Author
António Manuel Freitas Coelho

Institution
INESCTEC

2022

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

Author
Nuno Miguel Soares da Fonseca

Institution
INESCTEC

2022

Optimal Operation and Planning of Gas Networks

Author
João Paulo Fontoura de Oliveira

Institution
INESCTEC