Address

Federal University of ABC

Center of Engineering, Modelling and Social Science

Av. Dos Estados, 5001, CEP 09210-580

Bulding B, 9th floor, Room 906. 

Santo André, SP, Brazil

Email: ricardo.santos@ufabc.edu.br

Research Lines

• Power System Protection (HVDC and HVAC)

• Artificial Intelligence Applications in Power Systems

  • • Fault Detection, Classification and Location 

• Hardware in the Loop Simulation (by using RTDS)

Recent Publications in Journals

[1] A New Accurate and Robust Method Based on Deep Neural Networks for Fault Location in HVDC Systems. Journal of Control, Automation and Electrical Systems, v. 1, p. 1-16, Apr. 2025.

[2] Intelligent method for islanding detection of photovoltaic distributed generators based on voltage waveform recognition. Journal of Renewable and Sustainable Energy, v. 17, p. 035302, 2025.

[3] An Intelligent Time-Domain ANN-Based Method for Fault Identification in CSC-HVDC Systems. Smart Grids And Sustainable Energy, v. 10, p. 50, 2025.

[4] A Novel Methodology for Reducing Excessive Reactive Power Consumption Penalties for Photovoltaic Prosumers. IEEE Access, v. 12, p. 1-1, 2024.

[5] A fault recognition method for transmission systems based on independent component analysis and convolutional neural networks. Electric Power Systems Research, v. 229, p. 110105, 2024.

[6] A new robust approach for fault location in transmission lines using single channel independent component analysis. Electric Power Systems Research, v. 220, p. 109281, 2023.

[7] A frequency spectrum-based method for detecting and classifying faults in HVDC systems. Electric Power Systems Research, v. 207, p. 107828, 2022.

[8] Euclidean Distance-Based Method for Fault Detection and Classification in Transmission Lines. Journal of Control Automation and Electrical Systems, v. 1, p. 1-11, 2022.

[9] A comprehensive backup protection for transmission lines based on an intelligent wide-area monitoring system. International Transactions on Electrical Energy Systems, v. 1, p. 1-21, 2021.

[10] A methodology for reliability assessment of substations using fault tree and Monte Carlo simulation. Electrical Engineering, v. 1, p. 1-10, 2019.

[11] An accurate method for fault location in HVDC systems based on pattern recognition of DC voltage signals. Electric Power Systems Research, v. 170, p. 64-71, 2019. 

[12] Method for identification of grid operating conditions for adaptive overcurrent protection during intentional islanding operation. International Journal of Electrical Power & Energy Systems, v. 105, p. 632-641, 2019.

[13] Methodology for Assessing the Risk of Unintentional Islanding of Distributed Wind Generators Using Passive Schemes. Journal of Control, Automation and Electrical Systems, v. 1, p. 1-14, 2019.

[14] Efficient and robust ANN-based method for an improved protection of VSC-HVDC systems. IET Renewable Power Generation, v.12(13), p. 1555 - 1562, 2018.

[15] An intelligent backup scheme for CSC-HVDC systems based on artificial neural networks. Electric Power Components and Systems, v. 45(17), p. 1892 -1904, 2018.

[16] Evaluation of an ANN-based algorithm for anti-islanding protection of distributed generators. IEEE Transactions on Industrial Electronics, v. 65(6), p. 5051 - 5059, 2017.

[17] Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, v. 57, p. 50-60, 2017.

[18] A new artificial neural network based method for islanding detection of distributed generators. International Journal of Electrical Power & Energy Systems, v. 75, p. 139-151, 2016.

[19] A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links. Electric Power Systems Research, v. 141, p. 333-343, 2016.

[20] Differential protection of transformer based on artificial neural network and programmable logic. International Journal of Power and Energy Systems, v. 35, p. 154-160, 2015.

[21] Artificial neural network based approach for anti-islanding protection of distributed generators. Journal of Control, Automation and Electrical Systems, v. 25, p. 339-348, 2014.

[22] Transmission lines distance protection using artificial neural networks. International Journal of Electrical Power & Energy Systems, v. 33, p. 721-730, 2011.

Obs: All papers listed above are related to master's and doctoral researches supervised at the UFABC- Brazil. The complete list of the published papers can be found at Curriculum Vitae

Recent Publications in Conferences

[23] Discrete Wavelet Transform for Islanding Detection of Photovoltaic Distributed Generators. In: IEEE URUCON, 2024, Montevidéu. IEEE URUCON, 2024. p. 1-5.

[24] Algorithm based on Euclidean Distance for Detecting Faults in Transmission Lines. In: XV Latin-American Congress on Electricity Generation and Transmission de Energia Elétrica, 2024, Mar del Plata. CLAGTEE, 2024. p. 1-6.

[25] New ANN-Based Method for Islanding Detection in Distribution Systems with PV Generation. In: 2023 IEEE PES Innovative Smart Grid Technologies Latin America, San Juan. ISGT - LA, 2023. p. 365-369.

[26] MMC-Based VSC-HVDC Link Fault Protection Using Short-Time Fourier Transform. In: IEEE/IAS International Conference on Industry Applications, São Paulo. INDUSCON, 2023. p. 1-7.

[27] Methodology for Training Artificial Neural Networks for Islanding Detection of Photovoltaic Distributed Generators. In: Intelligent Systems Conference, Amsterdam. IntelliSys, 2022. v. 544. p. 427-441.

[28] Neural Networks for Water Management in Hydroelectric Reservoirs: A Case Study at Itaipu Binacional Hydroelectric (Brazil). In: XLI Ibero-Latin-American Congress on Computational Methods in Engineering (CILAMCE), Foz do Iguaçu, 2020.

[29] Comparative analysis of artificial neural networks and statistical models applied to demand forecasting. In: IEEE Innovative Smart Grid technologies Latin America (ISGT LA), Gramado, Brazil, 2019.

[30] Fault location using wavelet transform and independent component analysis. In: IEEE Chilean Conference on Electrical, Electronics Engineering, information and Communication Technologies, Valparaiso, Chile, 2019.

[31] Distribution network service restoration based on modified PSO algorithm. In: 13th Latin-American Congress on Electricity, Generation, and Transmission (XIII CLAGTEE), Santiago, Chile 2019.

[32] New method Based on wavelet transform and ANN for multiterminal HVDC system protection. In: 13th IEEE PES PowerTech Conference, Milan, Italy, 2019.

[33] An ANN-based algorithm for fault detection and location in MTDC systems. In: VII SBSE - Brazilian Symposium on Electrical Systems, Rio de Janeiro, Brazil, 2018.

[34] A comparison of new methods based on ANNs for detecting and locating faults in MTDC systems. In: International Conference on Smart Energy Systems and Technologies (SEST), Sevilha, Spain, 2018.

[35] A scheme based on ANNs for single-phase fault location in distribution systems with DG. In: 12th IEEE PES PowerTech Conference, Manchester, UK, 2017.

[36] Method for adaptive overcurrent protection of distribution systems with distributed synchronous generators. In: IEEE/PES General Meeting, Denver, USA, 2015.

[37] Adaptive phasor estimators based on recursive least-squares. In: 10th IEEE PES PowerTech Conference, Grenoble, France, 2013.

Current Supervisions: Post doctoral students

• Intelligent protection schemes for detecting, classifying and locating faults in transmission systems.

Current Supervisions: Master's Students

• Cybersecurity assessment in modern power system protection schemes.

• Implementation and evaluation of an Euclidean distance-based method for fault detection and classification in transmission lines by using RTDS.

• Analysis on the impact of PV power plants on distribution systems performance.

• Evaluation of BESS impact on electrical power system protection. 

• Advanced methods for fault detection, classification and location in transmission lines. 

Concluded Supervisions

M.Sc. supervision

[M.Sc.] 2009 - 2011: Implementation of an ANN-based method for differential protection of power transformers by using FPGA (Field Programmable Gate Array).

[M.Sc.] 2010 - 2013: Methodology based on ANN for islanding detection of distributed generators.

[M.Sc.] 2011 - 2013: Development of a prototype based on artificial neural networks for remote voltage monitoring.

[M.Sc.] 2013 - 2015: Hardware implementation of an ANN-based relay for islanding detection of distributed generators.

[M.Sc.] 2013 - 2015: Methodology for reliability assessment of substations considering the social impact of electrical faults.

[M.Sc.] 2015 - 2017: Application of ANNs for detecting, classifying and locating faults in electrical power systems.

[M.Sc.] 2016 - 2018: An intelligent method for protecting HVDC multiterminal systems.

[M.Sc.] 2011 - 2013: Electrical protection for systems with distributed generators (co-supervisor).   

[M.Sc.] 2013 - 2015: Development of an adaptive protection algorithm to switch the operation mode of distributed generators (co-supervisor).

[M.Sc.] 2017 - 2019: An ANN-based algorithm for detecting ferroresonance phenomenon in inductive voltage transformers.

[M.Sc.] 2017 - 2019: Correction of saturated CT secondary waveform by using Artificial Neural Networks.

[M.Sc.] 2018 - 2022: Application of Hausdorff Distance to Support Fault Identification in Distribution Systems.

[M.Sc] 2020 - 2022: Development of islanding detection methods for grid-connected photovoltaic systems.

[M.Sc] 2021 - 2023: Application of intelligent tools for voltage sag identification and characterization in distribution systems.

[M.Sc] 2019 - 2023: Considerations on the protection parameterization in consumers with PV generation.

Ph.D. supervision

[Ph.D.] 2014 – 2018: A comprehensive methodology for developing ANN-based algorithms for fault detection, classification and location in HVDC systems. 

[Ph.D.] 2015 – 2019: Development and implementation of an intelligent algorithm for fault detection and location in CSC-HVDC systems 

[Ph.D.] 2018 – 2023: An Intelligent and Comprehensive Method for Fault Location in Transmission Lines

Research Infrastructure

Founder and coordinator of the Smart Grid Laboratory (acronym in Portuguese: LARI - Laboratório de Redes Inteligentes) at UFABC

• LARI offers advanced research infrastructure to support studies in smart grid technologies and energy systems.