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About

Vladimiro Miranda was born in Porto, Portugal. He graduated in Electrical Engineering in 1977 and received the Ph.D. degree in Electrical Engineering from FEUP, the Faculty of Engineering of the University of Porto, Portugal, in 1982. He joined FEUP in 1981 and joined INESC in 1985, a top R&D institute in Portugal where he came to be coordinator of the area of Power Systems during the 90’s.

He was a member of the Board of Directors of INESC TEC, Portugal - an R&D private non-profit organization recognized by the Ministry of Science and with the University of Porto as the main associate - for 18 years until June 2018, and holds presently the following responsibilities:

  • Full Professor (Professor Catedrático) at FEUP, University of Porto, Portugal
  • Director-President of INESC P&D Brasil, an R&D private non-profit organization with headquarters in São Paulo, Brazil.
  • Associate Director at INESC TEC, International Affairs.
  • Member of the Doctoral Council of UTAD (University of Trás os Montes e Alto Douro), Portugal.

He is International Scientific Advisor for:

  • IRESEN, Agency associated to the Ministry of Energy, Morocco
  • Hong Kong Polytechnic University, China
  • Instituto de Investigación Tecnológica (Madrid), Spain
  • Instituto de Energía Eléctrica (San Juan), Argentina
  • Laboratory for Biologic and Chemical Defense of the Portuguese Army, Portugal

He was invited as Honorary Professor of the Novi Sad University, Serbia, and was President of INESC Macau, China. In 1996 and 1997 he stayed as Visiting Full Professor in the University of Macau, China. In 2005 he was Visiting Professor at the Federal University of Pará (UFPA), Brazil, and in 2015-2018 he was visiting researcher at the Federal University of Santa Catarina (UFSC), Brazil.

Prof. Miranda has been serving in the Administration Board of spin-off companies created within the INESC system. He has also served as research project evaluator for the governmental science organizations of Portugal, Norway, Croatia, South Africa, Chile, Brazil and Argentina. For the Government of this latter country, he acted as external auditor in the process of evaluation of research institutions.

He has supervised, co-supervised or cooperated in the supervision of a large number of PhD and MSc theses e power systems in several countries and universities such as in Portugal, Brazil, Argentina, Bosnia, China, Ecuador, Norway or Sweden. 

He has been responsible for many research projects at international level, in the European Union, United States and Brazil, and has authored or co-authored over 200 publications, especially in areas related with Power Systems and the application of Computational Intelligence to Power Systems.

He has been a member (at times the chairman) of the organizing or scientific committees of several important conferences in his areas of expertise such as PMAPS, ISAP, IEEE Power Tech, etc.

Prof. Miranda is an IEEE Fellow.

He is the recipient in 2013 of the IEEE Power Engineering Society Ramakumar Family Renewable Energy Excellence Award.

He is a member of the IEEE Distinguished Lecturer Program.

Curriculum LATTES:  http://lattes.cnpq.br/5824178098755298

Scopus Author ID: 35581693000  -  AuthenticusID: R-000-HPD

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Interest
Topics
Details

Details

  • Name

    Vladimiro Miranda
  • Cluster

    Power and Energy
  • Role

    Associate Director
  • Since

    01st March 1985
005
Publications

2019

Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems

Authors
da Silva, DM; Costa, FB; Miranda, V; Leite, H;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm. © 2018 Elsevier Ltd

2019

Through the looking glass: Seeing events in power systems dynamics

Authors
Miranda, V; Cardoso, PA; Bessa, RJ; Decker, I;

Publication
International Journal of Electrical Power & Energy Systems

Abstract

2019

Distribution network planning considering technology diffusion dynamics and spatial net-load behavior

Authors
Heymann, F; Silva, J; Miranda, V; Melo, J; Soares, FJ; Padilha Feltrin, A;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents a data-driven spatial net-load forecasting model that is applied to the distribution network expansion problem. The model uses population census data with Information Theory-based Feature Selection to predict spatial adoption patterns of residential electric vehicle chargers and photovoltaic modules. Results are high-resolution maps (0.02 km2) that allow distribution network planners to forecast asymmetric changes in load patterns and assess resulting impacts on installed HV/MV substation transformers in distribution systems. A risk analysis routine identifies the investment that minimizes the maximum regret function for a 15-year planning horizon. One of the outcomes from this study shows that traditional approaches to allocate distributed energy resources in distribution networks underestimate the impact of adopting EV and PV on the grid. The comparison of different allocation methods with the presented diffusion model suggests that using conventional approaches might result in strong underinvestment in capacity expansion during early uptake and overinvestment in later diffusion stages. © 2018

2019

Load modeling of active low-voltage consumers and comparative analysis of their impact on distribution system expansion planning

Authors
Knak Neto, N; Abaide, ADR; Miranda, V; Vilaça Gomes, P; Carvalho, L; Sumaili, J; Bernardon, DP;

Publication
International Transactions on Electrical Energy Systems

Abstract
This paper proposes a new probabilistic model for active low-voltage prosumers suitable for distribution expansion planning studies. The load uncertainty of these consumers is considered through a range of load profiles by segmenting the energy consumption according to the different energy uses. Then, consumption adjustments are simulated using a nonhomogenous Poisson process based on the energy usage preferences and the financial gains according to the tariff scheme. A case study based on the modified IEEE 33-Bus test system with real data collected from a Brazilian distribution company is performed in order to analyze the impact of the load profiles in scenarios with high penetration of renewable distributed generation (DG). The experiments carried out reveal that considerable monetary savings in the expansion of the distribution grid can be achieved for this case study (up to 37%) as compared with the alternative with no active demand (AD) by exploiting the flexibility associated with the active behavior of prosumers as a response to price signals and/or by permitting adequate levels for the integration of DG into the distribution grid. © 2019 John Wiley & Sons, Ltd.

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; Simões Costa, A; London, 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.

Supervised
thesis

2018

Análise de Risco na Formação das Decisões de pré-despacho em Sistemas com Elevada Penetração Eólica

Author
Mauro Sérgio Silva Pinto

Institution
Outra

2017

State Estimation for Evolving Power Systems Paradigms

Author
Gil da Silva Sampaio

Institution
UP-FEP

2017

Towards Dynamic State Estimation: Extending State Estimation to Dynamic State Recognition Through Knowledge Discovery With Deep Learning

Author
Shabnam Pesteh

Institution
UP-FEUP

2017

Deep Learning Applied to PMU Data in Power Systems

Author
Pedro Emanuel Almeida Cardoso

Institution
UP-FEUP

2017

Training autoencoders for state estimation in smart grids

Author
Rui Miguel Machado Oliveira

Institution
UP-FEUP