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About

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.

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Details

Details

  • Name

    Tiago André Soares
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    01st September 2015
003
Publications

2019

Peer-to-peer and community-based markets: A comprehensive review

Authors
Sousa, T; Soares, T; Pinson, P; Moret, F; Baroche, T; Sorin, E;

Publication
RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Abstract
The advent of more proactive consumers, the so-called "prosumers", with production and storage capabilities, is empowering the consumers and bringing new opportunities and challenges to the operation of power systems in a market environment. Recently, a novel proposal for the design and operation of electricity markets has emerged: these so-called peer-to-peer (P2P) electricity markets conceptually allow the prosumers to directly share their electrical energy and investment. Such P2P markets rely on a consumer-centric and bottom-up perspective by giving the opportunity to consumers to freely choose the way they buy their electric energy. A community can also be formed by prosumers who want to collaborate, or in terms of operational energy management. This paper contributes with an overview of these new P2P markets that starts with the motivation, challenges, market designs moving to the potential future developments in this field, providing recommendations while considering a test-case.

2018

Active Distribution Grid Management based on Robust AC Optimal Power Flow

Authors
Soares, T; Bessa, RJ; Pinson, P; Morais, H;

Publication
IEEE Transactions on Smart Grid

Abstract

2018

Optimal offering strategy of an EV aggregator in the frequency-controlled normal operation reserve market

Authors
Soares, T; Sousa, T; Andersen, PB; Pinson, P;

Publication
International Conference on the European Energy Market, EEM

Abstract
Electric vehicles (EVs) are to play an important role in electricity markets, since their energy storage capability can be beneficial to power systems operation. Electric vehicle aggregators will consequently develop adequate offering strategies to participate in energy and reserve markets, accounting for the market rules and operational capabilities of EVs aggregators (e.g., fleet of EVs). In this paper, we propose an offering strategy model for an EV aggregator to participate in the frequency-controlled normal operation reserve service (FCR-N) in Eastern Denmark. The aim is to maximize the expected revenue of the aggregator, accounting for potential penalties for missing the provision of both upward and downward reserves. The methodology has been modeled and tested under the scope of the PARKER project, which considers a case study based on real data from a small fleet of electric vehicles. An important conclusion relates to the availability patterns of the EVs that significantly changes the strategical participation of the EV aggregator in the service. © 2018 IEEE.

2017

Optimal offering and allocation policies for wind power in energy and reserve markets

Authors
Soares, T; Jensen, TV; Mazzi, N; Pinson, P; Morais, H;

Publication
WIND ENERGY

Abstract
Proliferation of wind power generation is increasingly making this power source an important asset in designs of energy and reserve markets. Intuitively, wind power producers will require the development of new offering strategies that maximize the expected profit in both energy and reserve markets while fulfilling the market rules and its operational limits. In this paper, we implement and exploit the controllability of the proportional control strategy. This strategy allows the splitting of potentially available wind power generation in energy and reserve markets. In addition, we take advantage of better forecast information from the different day-ahead and balancing stages, allowing different shares of energy and reserve in both stages. Under these assumptions, different mathematical methods able to deal with the uncertain nature of wind power generation, namely, stochastic programming, with McCormick relaxation and piecewise linear decision rules are adapted and tested aiming to maximize the expected revenue for participating in both energy and reserve markets, while accounting for estimated balancing costs for failing to provide energy and reserve. A set of numerical examples, as well as a case study based on real data, allow the analysis and evaluation of the performance and behavior of such techniques. An important conclusion is that the use of the proposed approaches offers a degree of freedom in terms of minimizing balancing costs for the wind power producer strategically to participate in both energy and reserve markets. Copyright (c) 2017 John Wiley & Sons, Ltd.

2017

Energy and Reserve under Distributed Energy Resources Management-Day-Ahead, Hour-Ahead and Real-Time

Authors
Soares, T; Silva, M; Sousa, T; Morais, H; Vale, Z;

Publication
ENERGIES

Abstract
The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The model aims to minimize the operation costs in the point of view of one aggregator agent taking into account the balance of the distribution system. For each scheduling stage, previous scheduling results and updated forecasts are considered. An illustrative test case of a distribution network with 33 buses, considering a large penetration of distribution energy resources allows demonstrating the benefits of the proposed model.