Giovanni Manassero Junior

Giovanni Manassero Junior

Universidade de São Paulo

H-index: 9

Latin America-Brazil

About Giovanni Manassero Junior

Giovanni Manassero Junior, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of power system protection, smart grids, power system simulation, microgrids, electrical automation.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Methodology to Support the Planning of Energy Distribution Reinforcements Based on a Space-Time Analysis of Electric Vehicle Charging

Biweight Midcorrelation Based Transmission Line Pilot Protection Algorithm

Dynamic Time Warping Based Pilot Protection Algorithm for AC and HVDC Transmission Lines

An approach based on wavelets and machine learning to build a prediction model for SF6 filling pressure of high-voltage circuit breakers

Alocação ótima de unidades de geração distribuída fotovoltaica em redes elétricas

Transient current protection for transmission lines based on the Kalman filter measurement residual

Proteção de linhas de transmissão utilizando a técnica de alinhamento temporal dinâmico.

A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature

Giovanni Manassero Junior Information

University

Universidade de São Paulo

Position

Professor of Electrical Engineering

Citations(all)

525

Citations(since 2020)

292

Cited By

333

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Universidade de São Paulo

Giovanni Manassero Junior Skills & Research Interests

power system protection

smart grids

power system simulation

microgrids

electrical automation

Top articles of Giovanni Manassero Junior

A Methodology to Support the Planning of Energy Distribution Reinforcements Based on a Space-Time Analysis of Electric Vehicle Charging

Authors

Rennan de Melo Nogueira,Giovanni Manassero,Rodrigo Rozenblit Tiferes

Journal

IEEE Transactions on Transportation Electrification

Published Date

2024/4/12

The electric vehicle market is growing, enhancing city environments with reduced noise and improved sustainability. However, this growth poses challenges for power distribution networks, initially designed for stationary loads. In this context, this paper introduces an innovative method for subsidizing reinforcement planning in power distribution networks by analyzing electric vehicle charging over time and space. This novel methodology is exemplified in a São Paulo City central region case, utilizing an open-source power distribution simulator. Diverse market penetration scenarios, recharge demands, and patterns (residential, commercial, and power station recharges) are considered. The outcomes of this approach offer insights into future energy distribution network diagnoses, facilitating optimal reinforcement planning and grid modernization. It mitigates over-estimations and potential tariff increases affecting all …

Biweight Midcorrelation Based Transmission Line Pilot Protection Algorithm

Authors

Rodrigo Rozenblit Tiferes,Giovanni Manassero,Eduardo Lorenzetti Pellini,Silvio Giuseppe Di Santo

Journal

IEEE Open Access Journal of Power and Energy

Published Date

2024/2/13

This paper presents a novel pilot protection algorithm for alternating current (ac) transmission lines that relies on biweight midcorrelation (BWMC) coefficients between the terminals’ currents. The proposed solution was compared with recent and similar literature alternatives, and the results indicate that it is both effective in detecting faults of any type and that, as it is median-based, unlike the techniques used so far, the BWMC-based algorithm may be advantageous over existing methods as it presents higher robustness to not incorrectly trip on external faults, mainly under the critical conditions of CT saturation, noisy measurements, and sample misalignment, typically associated with outliers. The algorithm also proved effective against simultaneous multi-faults, weak infeed, power swing, multiple cases on different lines, and faults with time-varying transition resistance. The BWMC-based solution was finally …

Dynamic Time Warping Based Pilot Protection Algorithm for AC and HVDC Transmission Lines

Authors

Giovanni Manassero Junior,Rodrigo Rozenblit Tiferes

Journal

IEEE Access

Published Date

2023/5/30

This paper presents a pilot protection algorithm for alternating (ac) and direct current (dc) transmission lines, the last in the line commutated converter and voltage source converter topologies. The main contribution of this research lies, in this context, in the development of a protection method for lines of different natures. This method relies on the dynamic time warping (DTW) technique. The solution is attractive as it does not require any line or system parameters and works only with current samples. For ac lines, the algorithm uses DTW to evaluate the line terminals phase currents’ and the zero-sequence components’ similarities and detect faults. In turn, for dc lines, the method employs DTW technique to evaluate the similarities of cross-currents between poles and terminals and identify internal dc faults. The authors tested the algorithm for each line topology through several fault simulations, also considering the …

An approach based on wavelets and machine learning to build a prediction model for SF6 filling pressure of high-voltage circuit breakers

Authors

Francisco Elânio Bezerra,Silvio Giuseppe Di Santo,Giovanni Manassero Junior

Journal

Electric Power Systems Research

Published Date

2023/3/1

This paper presents the development of a filling pressure prediction model for sulfur hexafluoride (SF6) insulated high-voltage circuit breakers (HVCBs) for predictive maintenance, using actual data from existing HVCBs in operation and machine learning techniques. It is the result of a research project developed with a power transmission utility in Latin America to improve the maintenance procedures while reducing the environmental impact of SF6 leakages. Firstly, the authors use principal component analysis (PCA), neighborhood component analysis (NCA), and Pearson correlation (PC) to indicate the relationship of filling pressure with eleven variables, all collected from fifty HVCBs in use. Secondly, the authors employ discrete wavelet transform (DWT) Daubechies (db), symlets (sym), and coiflets (coif) on the essential variables to create smoothed signals with them. Finally, the authors apply long short-term …

Alocação ótima de unidades de geração distribuída fotovoltaica em redes elétricas

Authors

Paul Iab Nicola Villar Yacila,Giovanni Manassero Junior

Published Date

2023

A inserção de unidades de geração distribuída nas redes elétricas vai se tornando uma alternativa cada vez mais atraente para o usuário final de energia elétrica. Esse novo cenário exige que as concessionárias estejam preparadas para atender essas opções que influenciam diretamente na operação, controle e planejamento das redes sob suas áreas de concessão. Dentro das diversas problemáticas decorrentes da geração distribuída ou descentralizada, encontra-se a alocação adequada deste tipo de geradores nas redes elétricas. Para acometer essa questão, esse trabalho apresenta uma nova ferramenta computacional que aloca simultaneamente e de forma ótima um conjunto. O termo alocação ótima faz referência ao objetivo que deve ser atingido pela solução proposta. Nesse caso, o intuito dessa pesquisa é identificar os barramentos de uma rede elétrica de distribuição onde a injeção de potencia …

Transient current protection for transmission lines based on the Kalman filter measurement residual

Authors

Daniel Texidor Dantas,Jésus Anício de Oliveira Neto,Giovanni Manassero Junior

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2023/12/1

This paper introduces a pilot protection method for two-terminal transmission lines based on the measurement residual of an extended Kalman filter designed to track alternate current signals. Transmission lines that interconnect generation plants to consumers are the primary equipment most susceptible to faults, and failing to isolate them correctly and promptly may lead to system collapse. In this context, the measurement residual allows for rapid fault identification and tripping. In addition, the proposed solution requires computing and communication resources typically available for pilot protection since it uses conventional sampling rates and has a low computational burden. This paper details the theory and application of the extended Kalman filter and the results of the proposed method when tested against different simulation scenarios. These scenarios were built on an extra-high voltage transmission system …

Proteção de linhas de transmissão utilizando a técnica de alinhamento temporal dinâmico.

Authors

Giovanni Manassero Junior

Published Date

2023

Esta tese de livre-docência propõe um algoritmo de proteção piloto para linhas de transmissão em corrente alternada e em corrente contínua, esta última nas topologias que utilizam conversores comutados pela rede - line-commutated converter - e conversores fonte de tensão - voltage-source converter. Posto isso, a principal contribuição desta tese consiste no desenvolvimento de um método de proteção para linhas de transmissão de diferentes naturezas. Ademais, esse método baseia-se na técnica de alinhamento temporal dinâmico - dynamic time warping (DTW), funciona apenas com amostras de corrente, e não requer nenhum parâmetro da linha de transmissão protegida nem do sistema elétrico. Para linhas de transmissão em corrente alternada, o algoritmo utiliza a técnica DTW para detectar faltas por meio da avaliação das semelhanças entre as correntes de fase e entre as componentes de sequência zero dessas correntes em ambos os terminais da linha. Por sua vez, para linhas de transmissão em corrente contínua, o método emprega a técnica DTW para identificar faltas avaliando as semelhanças entre as correntes cruzadas dos polos e terminais. O algoritmo foi analisado utilizando simulações de faltas em sistemas de corrente alternada distintos, bem como em sistemas de corrente contínua de cada topologia. Essas simulações consideraram também as condições desafiadoras de faltas internas de alta impedância, ruídos amostrados e desalinhamento entre amostras, além de saturação dos transformadores de corrente e oscilação de potência para linhas em corrente alternada, e faltas externas nos conversores para linhas …

A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature

Authors

Francisco Elânio Bezerra,Silvio Giuseppe Di Santo,Giovanni Manassero Junior,Rodrigo Rozenblit Tiferes,Alvaro da Rocha Albertini,Gabriel Rodrigues Santos

Journal

Electrical Engineering

Published Date

2023/11/28

This paper presents a novel forecasting methodology based on neural networks and second-generation wavelets, and an example of application of such methodology for forecasting the oil temperature of an actual power transformer. The proposed method consists on selecting the variables with the highest correlation concerning the magnitude to be predicted (in situations featuring multiple variables), selecting the most appropriate second-generation wavelet from a set of candidate lifting wavelet transforms to smooth each variable’s data and using the values smoothed by the selected second-generation wavelet to train the considered neural network. The authors applied the proposed methodology to predict the oil temperature of an existing transformer for four days and for one month using field data collected during four years of equipment operation. The obtained results indicate that selecting the most …

Analysis of the Implementation of Virtual Power Plants and Their Impacts on Electrical Systems

Authors

Matheus Sabino Viana,Dorel Soares Ramos,Giovanni Manassero Junior,Miguel Edgar Morales Udaeta

Journal

Energies

Published Date

2023/11/20

The increasing penetration of Distributed Energy Resources (DERs) in Distribution Systems (DSs) has motivated studies on Virtual Power Plants (VPPs). However, few studies have jointly assessed the sizing and economic attractiveness of VPPs from the entrepreneur’s perspective and the potential benefits and impacts on power systems while maintaining the scope to DSs. This study proposes a methodology for sizing VPPs and simulating their economic optimal dispatch and economic attractiveness with a focus on the entrepreneur’s viewpoint. In addition, it also evaluates VPPs’ potential benefits and impacts on a DS or Transmission System (TS) while considering the interface between the Distribution System Operator (DSO) and the Transmission System Operator (TSO). The methodology employs optimization to minimize the Net Present Cost (NPC) of the project, in relation to sizing the DERs, and to obtain the economic optimal dispatch of the BESSs that comprise the VPP. Moreover, a power flow analysis and probabilistic reliability assessment are used to evaluate the benefits and impacts on the power system. The methodology was applied to a case study involving Photovoltaic (PV) systems and Battery Energy Storage Systems (BESSs) used by aggregated medium voltage consumers, which configure Technical Virtual Power Plants (TVPPs) participating in Demand Response (DR) via incentives, with a network model of the Brazilian National Interconnected System (SIN) adapted from the 2030 Ten-Year Energy Expansion Plan (PDE) of the Energy Research Office (EPE), along with data from the Geographic Database of the Distribution …

Método seguro para transferência rápida de barrar em usinas nucleares

Authors

Jésus Anício de Oliveira Neto,Lucas Soares Gusman,Giovanni Manassero Junior

Journal

Revista Pesquisa Naval

Published Date

2022

A Transferência Rápida de Barras (TRB) consiste na comutação rápida de fontes alternadas de energia sem interrupção do fornecimento. Tal transferência é aplicável principalmente em usinas nucleares as quais necessitam de continuidade e disponibilidade de alimentação de energia para manter seus sistemas de segurança nuclear em pleno funcionamento. Diferentemente das fontes de alimentação ininterrupta (ou no-break), a TRB utiliza fontes infinitas de potência providas pelas concessionárias de energia e, deste modo, fornece grande disponibilidade de potência para manter, sem restrições, os sistemas de segurança nuclear. Vários estudos e relatórios de usinas nucleares evidenciam que o sistema de TRB convencional apresenta graves falhas de segurança que podem prejudicar o desligamento seguro do reator nuclear. Este trabalho apresenta um método seguro de TRB que prevê os sinais de tensão do barramento, visando minimizar danos nos equipamentos conectados à barra. A predição é feita através de um Modelo Autorregressivo e a Raiz do Erro Quadrático Médio. O método de transferência proposto apresenta resultados promissores que efetivamente reduzem as correntes transitórias em cerca de 3 vezes e obtêm um aumento de até 60% na chance de transferência bem-sucedida.

Application and evaluation of time-domain differential protection based on bayesian inference to HVDC lines

Authors

Rodrigo R Tiferes,Daniel T Dantas,G Manassero Junior

Published Date

2022/1/1

This paper presents the application of a time-domain differential protection algorithm to protect high-voltage direct current (HVDC) lines. The method discussed in this article was validated and proved fast and effective in protecting alternating current (AC) transmission lines. It applies Bayesian Inference (BI) to the current sampled values to determine internal fault occurrence probabilities over time. The authors performed fault simulations on a bipolar ± 500 [kV] version of Cigré's benchmark model for HVDC control studies in the Alternative Transients Program (ATP) and generated multiple cases, varying fault types, application points, resistances, and start instants to evaluate the proposed method's performance. Besides, the authors also tested the algorithm against situations featuring noisy measurements and terminal synchronisation failures. The simulation results were re-sampled to sampling rates typically found …

Transmission Line Distance Protection Algorithm Based on Bayesian Inference

Authors

Rodrigo Rozenblit Tiferes,Giovanni Manassero Junior

Journal

International Transactions on Electrical Energy Systems

Published Date

2022/6/1

This paper presents a distance protection method based on estimating the resistances and inductances seen by the relay using a least-squares (LS) approach combined with the application of Bayesian inference (BI) to determine fault probabilities in the protected zone over time. The use of BI in the presented algorithm increases the security and reliability of the LS-based line protection approach, which, although fast, may yield impedance estimates with numerical inaccuracies and therefore configures a solution capable of detecting faults internal to the protected zone rapidly and dependably. The authors tested the proposed algorithm using data sets obtained from transmission line fault simulations performed in Alternative Transients Program (ATP), which considered noisy measurements, current transformer (CT) saturation, capacitive-coupling voltage transformer (CCVT) transients, switching onto fault, close-in faults, frequency variations, uncertainties in the line’s parameters, and power swings. Furthermore, the authors tested the presented method against measurements recorded by field protection equipment during seventy-nine actual fault events on four existing 500 [kV] lines. The results indicate that the proposed algorithm is a fast, secure, and reliable distance protection solution and that using BI to the LS-based distance protection approach increases security while maintaining fast fault detection.

Time-domain distance protection of transmission lines based on the conic section general equation

Authors

Priscila de Lima Vianna,Giovanni Manassero Junior

Published Date

2022/4/1

This paper presents the development, implementation, and testing of a time-domain distance protection algorithm based on the behavior of voltage and current signals over time and on the conic section general equation that describes this behavior. The authors used six existing electrical systems modeled in ATP/EMTP to perform fault simulations varying the fault type, phases involved, fault resistance, inception angle, and fault location. Besides, the authors carried out a sensitivity analysis regarding the sampling frequency influence, noisy data, dynamic behavior of capacitor voltage transformers, power swings, and close-in faults. Finally, the authors tested the proposed method against an actual fault event on a 500 kV Brazilian transmission line. The results presented in this paper indicate that the proposed solution is robust, fast, accurate, secure, and dependable.

Multi-source distributed energy resources management system based on pattern search optimal solution using nonlinearized power flow constraints

Authors

Luis Fernando Moreira Machado,Silvio Giuseppe Di Santo,Giovanni Manassero Junior,Rodney Itiki,Madhav D Manjrekar

Journal

IEEE Access

Published Date

2021/2/18

The continuous improvement of energy storage and distributed generation technologies, in conjunction with demand-side pricing policies set by governments worldwide, modify electricity customers' behavior, with potentially adverse effects on the quality of power delivered to the end-users. A major technical challenge is the optimization of power dispatch to minimize customer operating costs under constraints from the supply side. Therefore, this research proposes a multi-source distributed energy resources management system capable of delivering a compromise solution for power supply, storage, and demand-side in different electric pricing policies, using non-linear operating restrictions such as cable loading, transformer loading, power factor, maximum contract demand, and voltage level, calculated using a power flow algorithm. To test the proposed management system, the authors evaluated two different …

Fault location in overhead transmission lines based on magnetic signatures and on the extended kalman filter

Authors

Jésus Anício De Oliveira Neto,Carlos Antonio França Sartori,Giovanni Manassero Junior

Journal

IEEE Access

Published Date

2021/1/8

This paper proposes a non-contact method for fault location in transmission lines, which is based on magnetic fields produced by current signals measured using magnetoresistive sensors installed only at transmission line terminals, under the phase conductors of the first transmission tower at both terminals or at the substations portals. The proposed method uses the Extended Kalman filter to process these measurements and is based on a travelling wave approach in order to perform the fault localization. This paper also describes the implementation and testing of the method, firstly introducing its overview, followed by an analysis of the magnetic fields produced by the current signals, as well as considerations on their measurement; secondly, detailing the Extended Kalman filter and the travelling wave approach; and, finally, presenting the results of the method with regards to simulations built using EMTP/ATP to …

The energy transition, effects with the implementation of electrical substation 4.0, its technologies and sustainability in Brazil

Authors

Marcos Hilario Sylvestre,Viviane Tavares Nascimento,Miguel Edgar Morales Udaeta,Giovanni Manassero Junior

Published Date

2021/12/6

This work aims to evaluate the gains for sustainable development by immersing Industry 4.0 technologies in electric power substations. The methodology presented in the manuscript comprises the description and comparison of traditional technologies and the use of the Industry 4.0 concepts in electrical substations. Besides, the manuscript addresses the gains of the centralized protection and control (CPC) architecture in reducing the number of equipment, carbon steel panels, and other materials. Consequently, reducing the copper cables, impacting lower consumption by energy efficiency, and reducing the emission of CO 2 for decarbonization with gains in sustainability. The work concludes that implementing these technologies in electrical substations impacts society and the corporate world, making room for new investment companies that adopt such policies, seeing sustainability not as an expense but as an …

Time-domain differential protection of transmission lines based on bayesian inference

Authors

Rodrigo Rozenblit Tiferes,Giovanni Manassero

Journal

IEEE Transactions on Power Delivery

Published Date

2021/6/25

This paper presents a time-domain differential protection method based on the Bayes’ Theorem and on the current samples to determine the fault occurrence probability as a function of time. It also describes the theory involved in developing the proposed protection method when considering the differential protection of transmission lines. The authors performed fault simulations using an existing electrical system modeled in EMTP varying the fault type, phases involved, fault resistance, inception angle, and fault location, and carried out a sensitivity analysis regarding high impedance faults, current transformer saturation, noisy data, misalignments between terminal samples and power swings. The authors also tested the proposed method against actual fault events from four existing transmission lines of the Brazilian interconnected power system. All results indicate that the proposed solution is fast, accurate, secure …

A comprehensive backup protection for transmission lines based on an intelligent wide‐area monitoring system

Authors

Fernanda Soares Vitor Petite,Ricardo Caneloi dos Santos,Giovanni Manassero Junior,Qingqing Yang,Jianwei Li

Journal

International Transactions on Electrical Energy Systems

Published Date

2021/5

This work presents the development, implementation and evaluation of an accurate intelligent wide‐area monitoring system for supporting protection functions in transmission lines. The proposed scheme is based on artificial neural networks and uses only postfault voltage signals for fault detection, classification, and location in transmission lines with different characteristics. The development and evaluation of the proposed intelligent system were based on three different electric power grids, under several different fault conditions (fault type, location, and resistance). The electrical systems were modeled in Matlab and PSCAD, while the proposed algorithm was developed in Matlab. The results are promising, showing that the proposed scheme presents a high level of accuracy and robustness. Moreover, the comprehensiveness of the presented solution is proven against three different power grids.

See List of Professors in Giovanni Manassero Junior University(Universidade de São Paulo)

Giovanni Manassero Junior FAQs

What is Giovanni Manassero Junior's h-index at Universidade de São Paulo?

The h-index of Giovanni Manassero Junior has been 8 since 2020 and 9 in total.

What are Giovanni Manassero Junior's top articles?

The articles with the titles of

A Methodology to Support the Planning of Energy Distribution Reinforcements Based on a Space-Time Analysis of Electric Vehicle Charging

Biweight Midcorrelation Based Transmission Line Pilot Protection Algorithm

Dynamic Time Warping Based Pilot Protection Algorithm for AC and HVDC Transmission Lines

An approach based on wavelets and machine learning to build a prediction model for SF6 filling pressure of high-voltage circuit breakers

Alocação ótima de unidades de geração distribuída fotovoltaica em redes elétricas

Transient current protection for transmission lines based on the Kalman filter measurement residual

Proteção de linhas de transmissão utilizando a técnica de alinhamento temporal dinâmico.

A forecasting methodology based on second-generation wavelets and neural networks: application to power transformer oil temperature

...

are the top articles of Giovanni Manassero Junior at Universidade de São Paulo.

What are Giovanni Manassero Junior's research interests?

The research interests of Giovanni Manassero Junior are: power system protection, smart grids, power system simulation, microgrids, electrical automation

What is Giovanni Manassero Junior's total number of citations?

Giovanni Manassero Junior has 525 citations in total.

What are the co-authors of Giovanni Manassero Junior?

The co-authors of Giovanni Manassero Junior are Eduardo Lorenzetti Pellini, Eduardo Cesar Senger, Renato Nakagomi.

    Co-Authors

    H-index: 9
    Eduardo Lorenzetti Pellini

    Eduardo Lorenzetti Pellini

    Universidade de São Paulo

    H-index: 8
    Eduardo Cesar Senger

    Eduardo Cesar Senger

    Universidade de São Paulo

    H-index: 4
    Renato Nakagomi

    Renato Nakagomi

    Tufts University

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