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About

Tiago Soares received the M.Sc. degree in electrical engineering from the School of Engineering of Polytechnic Institute of Porto (ISEP), in 2013 and the Ph.D. degree in electrical engineering from the Technical University of Denmark (DTU) in 2017. He is currently postdoc at the INESC TEC, Centre for Power and Energy Systems. His research interests include electricity markets, distributed generation, energy resources management and optimization, optimization under uncertainty and future power systems.

Interest
Topics
Details

Details

  • Name

    Tiago André Soares
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    01st September 2015
004
Publications

2020

Reactive power provision by the DSO to the TSO considering renewable energy sources uncertainty

Authors
Soares, T; Carvalho, L; Moris, H; Bessa, RJ; Abreu, T; Lambert, E;

Publication
SUSTAINABLE ENERGY GRIDS & NETWORKS

Abstract
The current coordination between the transmission system operator (TSO) and the distribution system operator (DSO) is changing mainly due to the continuous integration of distributed energy resources (DER) in the distribution system. The DER technologies are able to provide reactive power services helping the DSOs and TSOs in the network operation. This paper follows this trend by proposing a methodology for the reactive power management by the DSO under renewable energy sources (RES) forecast uncertainty, allowing the DSO to coordinate and supply reactive power services to the TSO. The proposed methodology entails the use of a stochastic AC-OPF, ensuring reliable solutions for the DSO. RES forecast uncertainty is modeled by a set of probabilistic spatiotemporal trajectories. A 37-bus distribution grid considering realistic generation and consumption data is used to validate the proposed methodology. An important conclusion is that the methodology allows the DSO to leverage the DER full capabilities to provide a new service to the TSO.

2020

Participation of an EV Aggregator in the Reserve Market through Chance-Constrained Optimization

Authors
Faria, AS; Soares, T; Sousa, T; Matos, MA;

Publication
ENERGIES

Abstract
The adoption of Electric Vehicles (EVs) will revolutionize the storage capacity in the power system and, therefore, will contribute to mitigate the uncertainty of renewable generation. In addition, EVs have fast response capabilities and are suitable for frequency regulation, which is essential for the proliferation of intermittent renewable sources. To this end, EV aggregators will arise as a market representative party on behalf of EVs. Thus, this player will be responsible for supplying the power needed to charge EVs, as well as offering their flexibility to support the system. The main goal of EV aggregators is to manage the potential participation of EVs in the reserve market, accounting for their charging and travel needs. This work follows this trend by conceiving a chance-constrained model able to optimize EVs participation in the reserve market, taking into account the uncertain behavior of EVs and their charging needs. The proposed model, includes penalties in the event of a failure in the provision of upward or downward reserve. Therefore, stochastic and chance-constrained programming are used to handle the uncertainty of a small fleet of EVs and the risk profile of the EV aggregator. Two different relaxation approaches, i.e., Big-M and McCormick, of the chance-constrained model are tested and validated for different number of scenarios and risk levels, based on an actual test case in Denmark with actual driving patterns. As a final remark, the McCormick relaxation presents better performance when the uncertainty budget increases, which is appropriated for large-scale problems.

2020

Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context

Authors
Deotti, L; Guedes, W; Dias, B; Soares, T;

Publication
ENERGIES

Abstract
This paper presents a comprehensive study of the technical and economic benefits that a typical residential prosumer may experience when investing in a solar photovoltaic (PV) system with a battery energy storage system (BESS). To this end, a home energy management system has been designed to simulate the prosumer's daily operation, considering a novel method for calculating battery degradation while minimizing its operating costs. In order to contribute to the regulatory review process of the distributed generation underway in Brazil, a set of PV+BESS configurations has been assessed under the current and future regulatory scenarios proposed for discussion by the Brazilian regulatory agency. Although the results demonstrate that the prosumer's self-consumption rate may increase up to 14% with the BESS coupling in the PV system, the investment proved to be economically unattractive in the current regulatory scenario and practically unfeasible in any of the proposed future scenarios. To make PV+BESS systems economically feasible, some business models are proposed and discussed, and for example, provide subsidies for policymakers, financial agents, and battery manufacturers. A sensitivity analysis for each business model showing its economic feasibility spectrum is provided to assist the different sector players, especially the consumers, in their decision-making process.

2020

Analysis of consumer-centric market models in the Brazilian context

Authors
Barbosa, PHP; Dias, B; Soares, T;

Publication
2020 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D LA 2020

Abstract
In recent years, the large deployment of distributed energy resources (DERs) in low voltage networks is changing the traditional approach to power systems. This massive change is pushing towards new solutions to improve energy trading in low voltage networks. Consumer-centric options, such as full peer-to-peer (P2P) and energy community markets (CM) are seen as viable options to increase the active participation of end-users in the electricity markets. This work studies the full P2P and CM market approaches applied to the actual regulatory framework in Brazil, evaluating and comparing both approaches to be potentially applied in Brazil. A case study based on a typical Brazilian neighborhood is designed, allowing to assess the behavior of consumers and prosumers in both markets. The results show the economic viability of both models, considering the social welfare and the penetration of distributed generation in the system. An important conclusion under the current regulatory framework is that the full P2P can have greater benefits over the CM, as long as the distributed generation is enough to confer near self-sufficiency to the peer's demand. © 2020 IEEE.

2020

Local Energy Markets for Energy Communities with Grid Constraints

Authors
Rocha, R; Collado, JV; Soares, T; Retorta, F;

Publication
International Conference on the European Energy Market, EEM

Abstract
Renewable energy communities (REC) and local energy markets (LEM) emerge as entities capable, not only to promote the penetration of renewable energy sources into lower levels of the grid, but also to manage distributed energy resources (DER) and local energy exchanges between small players. This paper proposes a benefit assessment among different regulatory frameworks for LEM, considering network constraints and a virtual storage unit. Results show significant savings can be achieved, even without storage. Therefore, the continuous increase of DER can have considerable grid impacts if not complemented by other structures as storage or by alternative market services like flexibility. © 2020 IEEE.

Supervised
thesis

2020

Modelização de tarifas de energia elétrica para veículos elétricos

Author
Carlos Alexandre Oliveira da Fonseca

Institution
IPP-ISEP

2020

How will consumer-centric markets impact distribution grids considering AC-OPF?

Author
Catarina Isabel Silva de Oliveira

Institution
UP-FEUP

2020

Cost Allocation Model for Distribution Networks Considering Flexibility from Distributed Energy Resources

Author
Miguel Ângelo Pereira da Cruz

Institution
UP-FEUP

2020

Modelling Stochastic Optimization to Energy and Reserve Market in a Microgrid Environment

Author
Diogo Castro

Institution
UP-FEUP

2020

Otimização de Serviços Auxiliares de Comando e Controlo de Subestações Móveis – Estudo da Inclusão de Novos Sistemas de Alimentação

Author
Bruno Gomes

Institution
IPP-ISEP