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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.

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Details

Details

  • Name

    João Tomé Saraiva
  • Cluster

    Power and Energy
  • Role

    Research Coordinator
  • Since

    15th July 1985
022
Publications

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.

2020

A two-stage strategy for security-constrained AC dynamic transmission expansion planning

Authors
Gomes, PV; Saraiva, JT;

Publication
Electric Power Systems Research

Abstract
This paper presents a new and promising strategy organized in two stages to solve the dynamic multiyear transmission expansion planning, TEP, problem. Specifically, the first stage is related to the reduction of the search space size and it is conducted by a novel constructive heuristic algorithm (CHA). The second one is responsible for the refinement of the optimal solution plan and it uses a novel evolutionary algorithm based on the best features of particle swarm optimization (PSO) and genetic algorithm (GA). The planning problem is modelled as a dynamic and multiyear approach to ensure that it keeps a holistic view over the entire planning horizon and it aims at minimizing the total system costs comprising the investment and operation costs. Additionally, the N-1 contingency criterion is also considered in the problem. The developed approach was tested using the IEEE 118-Bus test system and the obtained results demonstrate its advantages in terms of efficiency and required computational time. Furthermore, the results demonstrated that the novel strategy can enable the utilization of the AC optimal power flow (OPF) in a faster and reliable way when compared to the standard and widespread DC-OPF model. © 2019 Elsevier B.V.

2020

Joint analysis of the Portuguese and Spanish NECP for 2021-2030

Authors
De Oliveira, AR; Collado, JV; Lopes, JAP; Saraiva, JPT; Fonseca, NS; Domenech, S; Campos, FA;

Publication
2020 17th International Conference on the European Energy Market (EEM)

Abstract

2020

Assessing the Impact of Investments in Distribution Planning

Authors
MacEdo, P; Fidalgo, JN; Tome Saraiva, J;

Publication
2020 17th International Conference on the European Energy Market (EEM)

Abstract

2020

Cost-benefit Analysis on a New Access Tariff: Case Study on the Portuguese System

Authors
Vilaca, P; Saraiva, JT; Fidalgo, JN;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper reports the main results that were obtained in the scope of a consultancy study that was developed for EDP Distribuição, the main Portuguese distribution company, to evaluate the impact of a number of changes to be introduced in the Tariff System. These changes were proposed by ERSE, the Portuguese Regulatory Agency for the Energy Services, and included the redesign of the tariff periods and the possible introduction of a geographic differentiation on the Access Tariff to reflect different daily and yearly demand and flow patterns along the country. This work involved the development of a Cost Benefit Analysis, CBA, as well as a Pilot Project that included 82 MV and HV consumers to evaluate several Key Performance Indices, KPI, used to characterize the proposed changes on the tariff system. © 2020 IEEE.

Supervised
thesis

2020

Economic and Regulatory Schemes to Maximize the Social Benefit of Energy Communities

Author
Rogério Rui Dias da Rocha

Institution
UP-FEUP

2020

Multi-Objective Long-Term Transmission Expansion Planning

Author
Luiz Eduardo de Oliveira

Institution
UP-FEUP

2020

Estimativa do Impacto da PRE no Custo de Produção de Energia Elétrica em 2018

Author
Pedro Miguel de Vasconcelos Araújo Oliveira

Institution
UP-FEUP

2020

Residential Consumer Behavioural Analysis on the participation in Demand Response Strategies including distributed generation and electric vehicles

Author
Kamalanathan Ganesan

Institution
UP-FEUP

2020

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