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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
025
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.

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

Estimation of the Global Amount of Mandatory Investments for Distribution Network Expansion Planning

Authors
MacEdo P.M.; Fidalgo J.N.; Saraiva J.T.;

Publication
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Abstract

2021

Comparative Analysis of Self-Consumption and Energy Communities Regulation in the Iberian Peninsula

Authors
Rocha R.; Mello J.; Villar J.; Saraiva J.T.;

Publication
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Abstract
Energy communities and self-consumption are considered as major drivers to achieve the decarbonization of the power sector, contributing to further increase the penetration of renewables, and empowering end consumers by turning them more active and flexible regarding electricity consumption. Considering the relevance of this topic and given that the corresponding legislation is recent, this paper summarizes the European Regulation on self-consumption and renewable energy communities and describes, analyses and compares its transposition to the Portuguese and Spanish national regulations. The main regulatory barriers for renewable energy communities' rollout are identified and regulatory improvements are proposed to overcome them.

Supervised
thesis

2021

Analysis of the Auction and Continuous Intraday Electricity Markets of the MIBEL

Author
Luís Ferreira Monteiro

Institution
UP-FEUP

2021

bio-signal analysis for neuromuscular control assessment: application to the stretch-shortening cycle in the human locomotion system

Author
Carlos Manuel Barbosa Rodrigues

Institution
UP-FEUP

2021

Simulation of Hydro Power Plants in Electricity Markets Using an Agent-Based Model

Author
José Carlos Vieira Sousa

Institution
UP-FEUP

2021

Wireless optical fibre sensors network for the health monitoring of concrete structures

Author
Pedro Miguel Madeira da Silva

Institution

2021

Estimativa do Impacto da PRE no Custo de Produção de Energia Elétrica em 2019

Author
Maria Carolina de Magalhães Bastos

Institution
UP-FEUP