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Sobre

Sobre

Obtive a Licenciatura em Matemática Aplicada – Ciências dos Computadores na Faculdade de Ciências da Universidade do Porto, Portugal, em 1991, e obtive o Mestrado e Doutoramento em Engenharia Eletrotécnica e de Computadores (área de Sistemas de Energia) na Faculdade de Engenharia da Universidade do Porto, Portugal, em 1995 e 2002, respectivamente.
Em 1991 ingressei no INESC TEC onde sou o Responsável da Àrea DMS/EMS e Operação de Redes, e Investigador Sénior do Centro de Sistemas de Energia (CPES). Desde 1995, sou docente na Faculdade de Economia da Universidade do Porto, sendo actualmente Professor Auxiliar.
Eu tenho colaborado em vários projectos relacionados com o desenvolvimento de sistemas DMS (incluindo projectos europeus: MORE MICROGRIDS, SuSTAINABLE, evolvDSO, Integrid),aplicando técnicas de computação aos sistemas de energia, nomeadamente ao problema de Estimação de Estado

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Jorge Correia Pereira
  • Cluster

    Energia
  • Cargo

    Investigador Sénior
  • Desde

    01 dezembro 1991
028
Publicações

2022

Improved battery storage systems modeling for predictive energy management applications

Autores
Silva R.; Gouveia C.; Carvalho L.; Pereira J.;

Publicação
IEEE PES Innovative Smart Grid Technologies Conference Europe

Abstract
This paper presents a model predictive control (MPC) framework for battery energy storage systems (BESS) management considering models for battery degradation, system efficiency and V-I characteristics. The optimization framework has been tested for microgrids with different renewable generation and load mix considering several operation strategies. A comparison for one-year simulations between the proposed model and a naïve BESS model, show an increase in computation times that still allows the application of the framework for real-time control. Furthermore, a trade-off between financial revenue and reduced BESS degradation was evaluated for the yearly simulation, considering the degradation model proposed. Results show that a conservative BESS usage strategy can have a high impact on the asset's lifetime and on the expected system revenues, depending on factors such as the objective function and the degradation threshold considered. © 2022 IEEE.

2021

NEXTSTEP – Developing future smart secondary substations

Autores
Carreira, PJG; Santos, JMM; Pires, L; Ferreira, VGM; Almeno, L; Pinheiro, S; Neves, E; Azevedo, L; Costa, N; Gomes, F; Gouveia, C; Zanghi, E; Pereira, J; Simões, N; Tadeu, A; Coimbra, A; Oliveira, J; Aparício, A;

Publicação
CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution

Abstract

2019

A new interior point solver with generalized correntropy for multiple gross error suppression in state estimation

Autores
Pesteh, S; Moayyed, H; Miranda, V; Pereira, J; Freitas, V; Simoes Costa, AS; London Jr, JBA;

Publicação
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
This paper provides an answer to the problem of State Estimation (SE) with multiple simultaneous gross errors, based on Generalized Error Correntropy instead of Least Squares and on an interior point method algorithm instead of the conventional Gauss–Newton algorithm. The paper describes the mathematical model behind the new SE cost function and the construction of a suitable solver and presents illustrative numerical cases. The performance of SE with the data set contaminated with up to five simultaneous gross errors is assessed with confusion matrices, identifying false and missed detections. The superiority of the new method over the classical Largest Normalized Residual Test is confirmed at a 99% confidence level in a battery of tests. Its ability to address cases where gross errors fall on critical measurements, critical sets or leverage points is also confirmed at the same level of confidence. © 2019 Elsevier B.V.

2019

Impact of different central path neighborhoods on gross error identification in State Estimation with generalized correntropy interior point method

Autores
Moayyed, H; Pesteh, S; Miranda, V; Pereira, J;

Publicação
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Abstract

2019

On the development of a framework for the advanced monitoring of LV grids

Autores
Kotsalos, K; Marques, L; Sampaio, G; Pereira, J; Gouveia, C; Teixeira, H; Fernandes, R; Campos, F;

Publicação
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Abstract

Teses
supervisionadas

2022

State Estimation for Evolving Power Systems Paradigms

Autor
Gil da Silva Sampaio

Instituição
UP-FEUP

2021

State Estimation for Evolving Power Systems Paradigms

Autor
Gil da Silva Sampaio

Instituição
UP-FEUP

2020

State Estimation for Evolving Power Systems Paradigms

Autor
Gil da Silva Sampaio

Instituição
UP-FEUP

2018

State Estimation for Evolving Power Systems Paradigms

Autor
Gil da Silva Sampaio

Instituição
UP-FEUP

2018

Improving distribution state estimation robustness through optimal metering placement and sensor fusion techniques

Autor
Jorge Miguel Mendes Alves

Instituição
UP-FEUP