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About

About

Fábio Sester Retorta is an electrical engineer graduated at the Federal University of Paraná (UFPR). During his time in Brazil, he worked for 3 years with ANEEL R & D projects and services in the area of electric power quality by the company Lactec. Fábio earned his master's degree in UFPR with the theme of an ANEEL R & D project being awarded 1 place in the CIGRE Showcase Paris 2018. Since 2015 the researcher has been contributing with publications in international events, chapters of Brazilian books and Brazilian periodicals. The researcher has been working with the themes: electric power quality of wind farms / GD, operation of distributed generation, storage systems, solar thermal energy (CSP), rural electrification, multicriteria methodologies, fuzzy systems, optimization, forecasting methods, and planning of distribution systems. Fábio has taught classes at SENAI and CEPS (technical schools in Brazil) and is a member of the C6 group of CIGRÉ. He currently works at CPES with topics related to energy markets, deregulated electricyty markets, flexibilities in electricity markets, OPF and optimization methods

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Details

Details

  • Name

    Fábio Retorta
  • Role

    Research Assistant
  • Since

    18th February 2019
003
Publications

2023

A Data-Driven Approach to Estimate the Flexibility Maps in Multiple TSO-DSO Connections

Authors
Silva, J; Sumaili, J; Silva, B; Carvalho, L; Retorta, F; Staudt, M; Miranda, V;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
This paper presents a methodology to estimate flexibility existing on TSO-DSO borderline, for the cases where multiple TSO-DSO connections exist (meshed grids). To do so, the work conducted exploits previous developments regarding flexibility representation through the adoption of active and reactive power flexibility maps and extends the concept for the cases where multiple TSO-DSO connection exists, using data-driven approach to determine the equivalent impedance between TSO nodes, preserving the anonymity regarding sensitive grid information, such as the topology. This paper also provides numerical validation followed by real-world demonstration of the methodology proposed.

2023

A Three-Stage Model to Manage Energy Communities, Share Benefits and Provide Local Grid Services

Authors
Rocha, R; Silva, R; Mello, J; Faria, S; Retorta, F; Gouveia, C; Villar, J;

Publication
ENERGIES

Abstract
This paper proposes a three-stage model for managing energy communities for local energy sharing and providing grid flexibility services to tackle local distribution grid constraints. The first stage addresses the minimization of each prosumer's individual energy bill by optimizing the schedules of their flexible resources. The second stage optimizes the energy bill of the whole energy community by sharing the prosumers' energy surplus internally and re-dispatching their batteries, while guaranteeing that each prosumer's new energy bill is always be equal to or less than the bill that results for this prosumer from stage one. This collective optimization is designed to ensure an additional collective benefit, without loss for any community member. The third stage, which can be performed by the distribution system operator (DSO), aims to solve the local grid constraints by re-dispatching the flexible resources and, if still necessary, by curtailing local generation or consumption. Stage three minimizes the impact on the schedule obtained at previous stages by minimizing the loss of profit or utility for all prosumers, which are furthermore financially compensated accordingly. This paper describes how the settlement should be performed, including the allocation coefficients to be sent to the DSO to determine the self-consumed and supplied energies of each peer. Finally, some case studies allow an assessment of the performance of the proposed methodology. Results show, among other things, the potential benefits of allowing the allocation coefficients to take negative values to increase the retail market competition; the importance of stage one or, alternatively, the need for a fair internal price to avoid unfair collective benefit sharing among the community members; or how stage three can effectively contribute to grid constraint solving, profiting first from the existing flexible resources.

2023

Simulating a real time Walrasian local electricity market design: assessing auctioneer algorithm and price behavior

Authors
Mello, J; Retorta, F; Silva, R; Villar, J; Saraiva, JT;

Publication
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM

Abstract
In Walrasian markets, an auctioneer proposes a price to the market participants, who react by revealing the quantities they are willing to buy or sell at this price. The auctioneer then proposes new prices to improve the demand and supply match until the equilibrium is reached. This market, common for stock exchanges, has also been proposed for electricity markets like power electricity exchanges, where iterations among auctioneer and market participants take place before the interval settlement period (ISP) until supply and demand match and a stable price is reached. We propose a Walrasian design for local electricity markets where the iterations between auctioneer and market participants happen in real time, so previous imbalances are used to correct the proposed price for the next ISP. The designs are simulated to test convergence and their capability of achieving efficient dynamic prices.

2023

Impact of transaction pricing mechanisms on energy community benefits sharing

Authors
Silva, R; Faria, S; Moreno, A; Retorta, F; Mello, J; Villar, J;

Publication
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM

Abstract
When the price of the energy shared within an energy community is based on a local energy market, it is the responsibility of each participant to bid adequately so that participating provides a larger benefit than not participating. Alternatively, centralized energy community bill minimization may be an option, but a mechanism to share the collective benefits among the members is needed. This mechanism should be fair and easy to explain, no members should be harmed with respect to their individual optimal behavior and should provide the right economic signal. This paper analyses and compares some common pricing mechanisms for the internal compensation for the energy shared among the members of an energy community centrally managed. Simple case examples are used to identify those pricing mechanisms that are fairer and provide the righter economic signals to the participants.

2023

THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINATED IDENTIFICATION OF FLEXIBILITY NEEDS TO ACTIVATION THROUGH THE UMEI

Authors
Mourão, RL; Gouveia, C; Sampaio, G; Retorta, F; Merckx, C; Benothman, F; Águas, A; Boto, P; Silva, CD; Milzer, G; Marzano, G; Dumont, C; Crucifix, P; Kaffash, M; Heylen, E;

Publication
IET Conference Proceedings

Abstract
The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal. © The Institution of Engineering and Technology 2023.