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About

About

J. T. Saraiva was born in Porto, Portugal, in 1962 and got his MSc, PhD, and Agregado degrees in Electrical and Computer Engineering from FEUP in 1987, 1993 and 2002, where he is currently Professor. In 1985 he joined INESC Porto where he is head researcher and collaborated in several EU financed projects, in national funded projects and in several consultancy contracts with the Portuguese Electricity Regulatory Agency, with EDP Distribuição, EDP Produção, REN, Empresa de Electricidade da Madeira, Empresa de Electricidade dos Açores and with the Greek and the Brasilean Transmission System Operators. Along his Academic career he supervized more than 50 MSc Thesis and 10 PhD Thesis, co authored 3 books, more than 30 papers in international journals and more than 120 papers in International Conferences.

Interest
Topics
Details

Details

  • Name

    João Tomé Saraiva
  • Cluster

    Power and Energy
  • Role

    Research Coordinator
  • Since

    15th July 1985
026
Publications

2022

Functional model of residential consumption elasticity under dynamic tariffs

Authors
Ganesan, K; Saraiva, JT; Bessa, RJ;

Publication
ENERGY AND BUILDINGS

Abstract
One of the major barriers for the retailers is to understand the consumption elasticity they can expect from their contracted demand response (DR) clients. The current trend of DR products provided by retailers are not consumer-specific, which poses additional barriers for the active engagement of consumers in these programs. The elasticity of consumers' demand behavior varies from individual to individual. The utility will benefit from knowing more accurately how changes in its prices will modify the consumption pattern of its clients. This work proposes a functional model for the consumption elasticity of the DR contracted consumers. The model aims to determine the load adjustment the DR consumers can provide to the retailers or utilities for different price levels. The proposed model uses a Bayesian probabilistic approach to identify the actual load adjustment an individual contracted client can provide for different price levels it can experience. The developed framework provides the retailers or utilities with a tool to obtain crucial information on how an individual consumer will respond to different price levels. This approach is able to quantify the likelihood with which the consumer reacts to a DR signal and identify the actual load adjustment an individual contracted DR client provides for different price levels they can experience. This information can be used to maximize the control and reliability of the services the retailer or utility can offer to the System Operators. (c) 2021 Published by Elsevier B.V.

2022

Concept and design of a Real Time Walrasian Local Electricity Market

Authors
Mello, J; Villar, J; Saraiva, JT;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper proposes a real time Walrasian based market design for local electricity trading, considering the roles of the different players, the settlement procedures, and the necessary balance responsibilities with the wholesale market under collective self-consumption rules. A Walrasian mechanism based on consecutive auctions for very short delivery periods is proposed, where the auctioneer defines a price for each of these delivery periods to which peers react by generating and consuming accordingly and informing if they trade with the auctioneer or with their retailer or aggregator. This market has no energy purchase contracts, and energy is billed based on each peer's generation or consumption for each delivery period with the price defined by the auctioneer. © 2022 IEEE.

2021

A two-stage constructive heuristic algorithm to handle integer investment variables in transmission network expansion planning

Authors
Oliveira, ED; Junior, ICS; de Oliveira, LW; de Mendonca, IM; Vilaca, P; Saraiva, JT;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
Due to the complexity and great relevance of the transmission network expansion planning (TNEP) for electrical systems, this topic remains on the focus of the academic and industry communities. Therefore, this paper proposes a new approach to deal efficiently with the basic formulation of this problem, combining low computational effort and good quality of the obtained solutions. In this approach four factors contribute to solve TNEP problem more efficiently: (i) the investment decisions are selected using a new Constructive Heuristic Algorithm (CHA); (ii) the proposed CHA includes two stages, using the relaxation of the decision integers variables through the hyperbolic tangent function and the setting of its function's slope; (iii) the performance index that was adopted was modified regarding what was reported in the literature; (iv) the use of the primal-dual interior point optimization technique allows the representation of the nonlinearities in the problem: transmission power losses and the hyperbolic tangent function (investment decision). The quality and effectiveness of the proposed algorithm is verified using two real power systems, where the proposed CHA is able to lead to better quality solutions than the ones reported in the literature.

2021

Electricity Cost of Green Hydrogen Generation in the Iberian Electricity Market

Authors
De Oliveira, AR; Collado, JV; Saraiva, JT; Domenech, S; Campos, FA;

Publication
2021 IEEE MADRID POWERTECH

Abstract

2021

Detection and Mitigation of Extreme Losses in Distribution Networks

Authors
Paulos, JP; Fidalgo, JN; Saraiva, JT; Barbosa, N;

Publication
2021 IEEE MADRID POWERTECH

Abstract

Supervised
thesis

2022

Operation Strategies for Energy Communities and Evaluation of their Impacts on Power Systems Using an ABM Model

Author
António José Valente Ferreira dos Santos

Institution
UP-FEUP

2022

Estimativa do Impacto da PRE no Custo de Produção de Energia Elétrica em 2020

Author
Matheus Venâncio Mota de Vasconcelos

Institution
UP-FEUP

2022

Local Electricity Market design:P2P Trade, Pool Based and Real Time Walrasian Auctions for energy and flexibility services provision

Author
João Moreira Schneider de Mello

Institution
UP-FEUP

2022

Caracterização do impacto de diversas variáveis nos preços do mercado diário do MIBEL

Author
Miguel Lopes Marques

Institution
UP-FEUP

2022

Multi-zonal energy and reserve equilibrium market model with interconnections allocation

Author
André Rodrigues de Oliveira

Institution
UP-FEUP