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About

About

I received the B.Sc. degree in Applied Mathematics and Computer Science from the Faculty of Sciences of the University of Porto, Porto, Portugal, in 1991, and I got my MSc and PhD in Electrical and Computer Engineering (Power Systems area) in the Faculty of Engineering of the University of Porto, in 1995 and 2002, respectively.
In 1991, I joined INESC Porto where I'm DMS/EMS and System Operation Area Leader and Research Manager of Centre for Power and Energy Systems (CPES). Since 1995, I have been with the Faculty of Economics of the University of Porto, where I'm currently an Assistant Professor.
I have collaborated on several projects related to the development of DMS systems (including the European projects MORE MICROGRIDS, SuSTAINABLE, evolvDSO, Integrid), the application of soft computing techniques to power systems, namely, to the state estimation problem.

Interest
Topics
Details

Details

  • Name

    Jorge Correia Pereira
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    01st December 1991
028
Publications

2022

Improved battery storage systems modeling for predictive energy management applications

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

Publication
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

Authors
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;

Publication
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

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

Publication
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

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

Publication
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

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

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

Abstract

Supervised
thesis

2022

State Estimation for Evolving Power Systems Paradigms

Author
Gil da Silva Sampaio

Institution
UP-FEUP

2021

State Estimation for Evolving Power Systems Paradigms

Author
Gil da Silva Sampaio

Institution
UP-FEUP

2020

State Estimation for Evolving Power Systems Paradigms

Author
Gil da Silva Sampaio

Institution
UP-FEUP

2018

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

Author
Jorge Miguel Mendes Alves

Institution
UP-FEUP

2018

Cálculo das perdas de redes de distribuição com as medidas dos smart-meters

Author
Bruno Adriano Redondo Canhoto

Institution
UP-FEUP