Marta Molinas
Background and activities
Research interests:
Starting in 2014 and after 11 years of working on the stability of power electronics systems, I have gradually expanded my research area into non-linear and non-stationary signal analysis, from the domain of harmonics in power systems into the domain of biological systems, specifically EEG signals. For that purpose, my group is now developing both computational models of the human brain for solving the neuromagnetic inverse problem and generic platforms for non-linear and non-stationary signals analysis suitable for both physical and biological systems (electrical grids, EEG signals). The initial steps of this research were demonstrated through the translation of brain signals into commands for the actuation of drones resorting to the motor imagery signals from the scalp, as shown in this NRK video. The long- term goal of the research is to contribute with a better understanding of the properties of electrical signals in the following two domains:
1. The brain electrical signals: to better understand the mechanism of cognitive functions to advance our ability to inteface technology with biological environments in order to:
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Identify new biomarkers from EEG signals and open entire new fields for disease preventioin and early therapeutic interventions
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Revolutionize industrial domains such as authetication and access control systems, subject and sex identification, brain contolled appliances for home automation and continuous monitoring of high-risk population (elderly)
2. The electricity grid: that is undergoing changes in the periodic nature of their signals due to the complexification in its topologies in conjunction with new non-linear components being introduced in large numbers
In particular, I am interested in understanding the mechanism of synchronisation in these two different worlds. I am project manager for the David & Goliath project.
Some of our group most exciting experiments are described in this link.
Background:
- Professor in Industrial Electrotechnics and electrical signal analysis at the Department of Engineering Cybernetics (NTNU) since 2014.
- Professor in Power Electronics for Power Systems at the Department of Electrical Engineering (NTNU), 2008-2014.
- Affiliated Scientist at AMOS Center of Excellence since 2016.
- Dr. Eng., Tokyo Institute of Technology, Japan, 2000. Thesis topic: "Power System Stability Control based on Phase Angle Regulation".
- Master of Engineering, University of the Ryukyus, Japan, 1997. Thesis topic: "Enhancement of Power System Stability based on the Application of Series Capacitors".
Teaching:
2015 to date, TTK4240 Industrial Electrotechnics, developed the curriculum and teaches the course
2016 to date, TTK7 Adaptive Data Analysis: Theory and Applications, developed the curriculum and teaches the course
2009 - 2013, ET8304 Power Theories and Compensation with Power Electronics, developed the curriculum and teached the course
2008 - 2013, ELK23 Power Electronics for Power Systems, developed the curriculum and teached the course
Supervision:
Current PhD students and Postdocs:
- Luis Alfredo Moctezuma (2018-2021): EEG-based Signal Analysis: A Study from High-denisty EEG to Low-density EEG (PhD).
- Andres Soler Guevara (2018-2021): EEG based Brain Mapping and Signal Analysis: A study of low density EEG to source activity reconstruction and applications in BCI (PhD), with the co-supervision of Eduardo Giraldo.
- Erwin H. T. Shad (2018-2021): Low Impedance Active Dry Electrode for Low-density EEG Signal Acquisition (PhD), with the co-supervision of Trond Ytterdal.
- Lena Spitthoff (2019-2023): Ageing Modelling of Secondary Li-ion Batteries. Co-supervisor with Odne Stokke Burheim at the Department of Energy and Process Engineering.
- Sjur Føyen (2018 - 2022): Co-supervisor with Olav Bjarte Fosso at the Department of Electric Power Engineering
- Haoxiang Zong (2019): Research on the steady-state and transient stability analysis of grid connected renewable energy through and HVDC link (visiting PhD from Shanghai Jiatong University).
- Shung San (2018 - 2019): Transient Characteristics of the Inertia Synchronization Controlled Wind Turbine with Grid Voltage Dips and the Stabilization Method (visiting PhD from Shanghai Jiatong University).
- Jing Li (2018-2019): Stability between the Locomotive and Traction Network based on the Impedance Method (visiting PhD from Beijing Jiatong University).
- Chen Zhang (2018-2020): Autonomous Control of Stability in Wind Farms and Smart Grids (NTNU Energy Postdoc).
- Alejandro Torres Garcia (2019-2020): Augmented Human: actuation of devices with biological signals (ERCIM Postdoc)
- Bing Tian (2018-2020): All-electronic control for Subsea Production System (Research Council of Norway Postdoc)
Graduated PhDs and Postdocs, main supervision:
- Atle Rygg (2015-2018): Impedance-based Methods for Small-signal Analysis of Power Electronics Dominated Systems.
- Mohammad Amin (2013-2017): Small-signal Stability Characterization of Interaction Phenomena between HVDC System and Wind Farms.
- Paula Garcia-Rosa (2016-2017): Hilbert-Huang transform (HHT)-based estimation of the instantaneous frequency of sea waves for wave energy control purposes (Postdoc).
- Jinghong Liu (2017-2018): Modeling and Stability Analysis of Digitally Controlled Grid-Connected Power Electronics Systems (visiting PhD from Chongqing University).
- Mehdi Zadeh (2011-2015): Stability Analysis Methods and Tools for Power Electronics- Based DC Distribution Systems, Applicable to On-Board Electric Power Systems and Smart Microgrids.
- Santiago Sanchez (2011-2015): Stability Investigation of Power Electronics Systems: A Microgrid Case.
- Gilbert Bergna-Diaz (2012-2015): Modular Multilevel Converter Control for HVDC Operation: Optimal Shaping of the Circulating Current Signal for Internal Energy Regulation (PhD in Cotutelle with Supelec).
- Rene Barrera Cardenas (2011-2015): Meta-parametrised meta-modelling approach for optimal design of power electronics conversion systems: Application to offshore wind energy.
- Jonas Bakken (2011-2015): Marine renewable energy conversion: Grid and off-grid modeling, design and operation.
- Natalie Holtsmark (2010-2014): Investigation of the Matrix Converter in a DC Series-Connected Wind Farm: Modulation, Control and Efficiency.
- Nadeem Jelani (2010-2014): Investigating the Role of Active Loads in the Future Electrical Grid Dominated by Power Electronics.
- Muhammad Jafar (2008-2012): Transformer-Less Series Compensation of Line-Commutated Converters for Integration of Offshore Wind Power.
- Alejandro Garces (2008-2012): Design, Operation and Control of Series-Connected Power Converters for Offshore Wind Parks.
- Maximiliano Bueno-Lopez (2017-2018): Hilbert Huang Transform for EEG Signal Analysis and Power Quality in systems with High-PV penetration (ERCIM Postdoc).
- Noe Barrera Gallegos (2017-2018): Synchronization Properties of Voltage Source Converters when seen as Coupled Oscillators (ERCIM Postdoc).
- Jing Lyu (2016-2017): Development of general system-level methodology and tools to analyze and predict the instability of AC power electronics systems (ERCIM Postdoc).
- Elisabetta Tedeschi (2009-2011): Design and Control of Energy Conversion Systems for the Integration of Offshore Renewable Energy Sources into the Electric Grid (Postdoc).
Graduated PhDs, co-supervision:
- Espen Skjong (2014-2017): Optimization-based Control in Shipboard Electric Systems, co-supervised with Tor Arne Johansen.
- Raymundo Torres-Olguin (2009-2013): Grid Integration of Offshore Wind Farms using Hybrid HVDC Transmission: Control and Operational Characteristics, co-supervised with Tore Undeland.
- Steinar Danielsen (2007-2010): Electric Traction Power System Stability: Low-frequency interaction between advanced rail vehicles and a rotary frequency converter, co-supervised with Olav Bjarte Fosso.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
2020
- (2020) A fully differential capacitively-coupled high CMRR low-power chopper amplifier for EEG dry electrodes. Analog Integrated Circuits and Signal Processing.
- (2020) Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system. Scientific Reports.
- (2020) Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition. Frontiers in Neuroscience. vol. 14.
- (2020) Modeling and analysis of grid-synchronizing stability of a Type-IV wind turbine under grid faults. International Journal of Electrical Power & Energy Systems.
- (2020) An Integrated Method for Generating VSCs’ Periodical Steady-state Conditions and HSS-based Impedance Model. IEEE Transactions on Power Delivery.
2019
- (2019) Optimal Sizing of Energy Storage Systems for Shipboard Applications. IEEE transactions on energy conversion. vol. 34 (2).
- (2019) A Gray-Box Method for Stability and Controller Parameter Estimation in HVDC-Connected Wind Farms Based on Nonparametric Impedance. IEEE transactions on industrial electronics (1982. Print). vol. 66 (3).
- (2019) Optimal Shaping of the MMC Circulating Currents for Preventing AC-Side Power Oscillations from Propagating into HVdc Grids. IEEE Journal of Emerging and Selected Topics in Power Electronics. vol. 7 (2).
- (2019) The Mode Mixing Problem and its Influence in the Neural Activity Reconstruction. IAENG International Journal of Computer Science. vol. 46:3 (IJCS_46_3_1).
- (2019) Discussion on the mode mixing in wave energy control systems using the Hilbert-Huang transform. Proceedings og European Wave and Tidal Energy Conference. vol. 1275 (1).
- (2019) Extremum-Seeking Control for Harmonic Mitigation in Electrical Grids of Marine Vessels. IEEE transactions on industrial electronics (1982. Print). vol. 66 (1).
- (2019) Assessing High-Order Harmonic Resonance in Locomotive-Network Based on the Impedance Method. IEEE Access. vol. 7.
- (2019) Electroencephalographic Source Localization based on Enhanced Empirical Mode Decomposition. IAENG International Journal of Computer Science. vol. 46 (2).
- (2019) Classification of low-density EEG-based epileptic seizures by energy and fractal features based on EMD. Journal of Biomedical Research (JBR).
- (2019) Event-related potential from EEG for a two-step Identity Authentication System. IEEE Conference on Industrial Informatics. vol. 2019-July.
- (2019) Subject Identification from Low-Density EEG-Recordings of Resting-States: A Study of Feature Extraction and Classification. Lecture Notes in Networks and Systems. vol. 70.
- (2019) Automatic Selection of Frequency Bands for Electroencephalographic Source Localization. International IEEE/EMBS Conference on Neural Engineering. vol. 2019-March.
- (2019) Control of a Type-IV Wind Turbine with the Capability of Robust Grid-Synchronization and Inertial Response for Weak Grid Stable Operation. IEEE Access. vol. 7.
- (2019) An Approach for Establishing a Common Grid Model for Flow-based Market Mechanism Simulations. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS. vol. 5 (3).
- (2019) Distributed control architecture for real-time model predictive control for system-level harmonic mitigation in power systems. ISA transactions. vol. 93.