Blar i NTNU Open på forfatter "Molinas Cabrera, Maria Marta"
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Assessing High-Order Harmonic Resonance in Locomotive-Network Based on the Impedance Method
Li, Jing; Wu, Mingli; Molinas Cabrera, Maria Marta; Song, Kejian; Liu, Qiujiang (Journal article; Peer reviewed, 2019)Many new types of locomotives are put to use in electric railway systems, resulting in instability problems such as high-order harmonic resonance occurring as a consequence of the interaction between the electrical locomotive ... -
Assessing the impact of idle state type on the identification of RGB color exposure for BCI
Torres-Garcia, Alejandro Antonio; Moctezuma, Luis Alfredo; Molinas Cabrera, Maria Marta (Chapter, 2020) -
Automatic Selection of Frequency Bands for Electroencephalographic Source Localization
Munoz, Pablo; Giraldo, Eduardo; Lopez, Maximiliano Bueno; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2019)This paper shows a method to locate actives sources from pre-processed electroencephalographic signals. These signals are processed using multivariate empirical mode decomposition (MEMD). The intrinsic mode functions are ... -
Block Diagonal Dominance-Based Model Reduction Method Applied to MMC Asymmetric Stability Analysis
Zong, Haoxiang; Zhang, Chen; Lyu, Jing; Cai, Xu; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2021)Frequency-domain model reduction is a crucial concern in applying the prevailing impedance method for the stability analysis of complex systems, e.g., the modular multilevel converter (MMC). Recently, it has been shown ... -
Classification of low-density EEG-based epileptic seizures by energy and fractal features based on EMD
Moctezuma, Luis Alfredo; Molinas Cabrera, Maria Marta (Journal article, 2019)We are here to present a new method for the classification of epileptic seizures from electroencephalogram (EEG) signals. It consists of applying empirical mode decomposition (EMD) to extract the most relevant intrinsic ... -
Comparative Eigenvalue Analysis of Synchronous Machine Emulations and Synchronous Machines
Unamuno, Eneko; Suul, Jon Are Wold; Molinas Cabrera, Maria Marta; Barrena, Jon Andoni (Chapter, 2019)This paper presents a comparative eigenvalue analysis of the stability characteristics and small signal dynamics of four different control strategies for Synchronous Machine Emulation (SME) by power electronic converters, ... -
Comparative study of semiconductor devices based on a meta-parameterised approach: SiC MOSFET vs Si IGBT technologies
Barrera-Cardenas, Rene Alexander; Isobe, Takanori; Molinas Cabrera, Maria Marta (Chapter, 2016) -
Control of a Type-IV Wind Turbine with the Capability of Robust Grid-Synchronization and Inertial Response for Weak Grid Stable Operation
Sang, Shun; Zhang, Chen; Cai, Xu; Molinas Cabrera, Maria Marta; Zhang, Jianwen; Rao, Fangquan (Journal article; Peer reviewed, 2019)With the increasing penetration of wind power, the effective inertia of the power system reduces. Besides, a series of interactive instability issues including sub-synchronous oscillations and harmonic oscillations were ... -
Control of DC-capacitor peak voltage in reduced capacitance single-phase STATCOM
Isobe, Takanori; Zhang, Long; Tadano, Hiroshi; Suul, Jon Are Wold; Molinas Cabrera, Maria Marta (Chapter, 2016)This paper discusses the design and control of a single-phase STATCOM with reduced dc capacitance. It is first demonstrated how operation with reduced dc capacitance and large dc voltage oscillations can be possible without ... -
Damping region extension for digitally controlled LCL-type grid-connected inverter with capacitor-current feedback
Liu, Jinhong; Zhou, Lin; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2018)This study investigates the extent to which the damping region of a digitally controlled LCL-type grid connected inverter is influenced by the ratio between sampling and switching frequencies, the grid impedance variation ... -
Decentralized Fuzzy-Based Voltage Control for LV Distribution Systems
Bernal, Efrain; Bueno-Lopez, Maximiliano; Molinas Cabrera, Maria Marta (Chapter, 2017)With the inclusion of Information and Communication Technology (ICT) components into the lowvoltage (LV) distribution grid, some measurement data from smart meters are available for the control of the distribution networks ... -
Defining Three Distribution System Scenarios for Microgrid Applications
Li, Chendan; Fosso, Olav B; Molinas Cabrera, Maria Marta; Yue, Jingpeng; Raboni, Pietro (Chapter, 2020)Power systems, especially distribution systems, are undergoing the most drastic overhauls with the growing integration of renewable energy and digitalization. One of the most efficient technological solutions to address ... -
Design and Implementation of a Monitoring System for Decision Support in a Micro-Business Based on Solar Energy Microgrid in Rural Colombia
Aabrek, Vegar; Forseth, Ingvild; Maximiliano, Bueno-Lopez; Molinas Cabrera, Maria Marta (Chapter, 2018)Rural electrification schemes are necessary for social and economic development. In several countries of Africa, Asia and Latin America this issue is fundamental and some governments have adopted new policies to increase ... -
Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
Aljalal, Majid; Aldosari, Saeed A.; Molinas Cabrera, Maria Marta; AlSharabi, Khalil; Alturki, Fahd A. (Peer reviewed; Journal article, 2022)Early detection of Parkinson’s disease (PD) is very important in clinical diagnosis for preventing disease development. In this study, we present efficient discrete wavelet transform (DWT)-based methods for detecting PD ... -
Discrete-Time Tool for Stability Analysis of DC Power Electronics-Based Cascaded Systems
Zadeh, Mehdi Karbalaye; Gavagsaz-Ghoachani, Roghayeh; Martin, Jean-Philippe; Pierfederici, Serge; Nahid-Mobarakeh, Babak; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2017)DC distribution power systems are vulnerable to instability because of the destabilizing effect of converter-controlled constant power loads (CPLs) and input filters. Standard stability analysis tools based on averaging ... -
Discussion on the mode mixing in wave energy control systems using the Hilbert-Huang transform
Garcia Rosa, Paula Bastos; Molinas Cabrera, Maria Marta; Fosso, Olav B (Peer reviewed; Journal article, 2019)A great improvement in the absorption of energy of a wave energy converter (WEC) is obtained with a time-varying power take-off (PTO) damping over a constant damping. In a passive control scheme based on the Hilbert-Huang ... -
Distributed control architecture for real-time model predictive control for system-level harmonic mitigation in power systems
Skjong, Espen; Johansen, Tor Arne; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2019)It can be challenging to design and implement Model Predictive Control (MPC) schemes in systems with fast dynamics. As MPCs often introduce high computational loads, it can be hard to assure real-time properties required ... -
DYNLO: Enhancing Non-linear Regularized State Observer Brain Mapping Technique by Parameter Estimation with Extended Kalman Filter
Soler Guevara, Andres Felipe; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2019)The underlying activity in the brain can be estimated using methods based on discrete physiological models of the neural activity. These models involve parameters for weighting the estimated source activity of previous ... -
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
Moctezuma, Luis Alfredo; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2020)We present a multi-objective optimization method for electroencephalographic (EEG) channel selection based on the non-dominated sorting genetic algorithm (NSGA) for epileptic-seizure classification. We tested the method ... -
EEG source imaging of hand movement-related areas: An evaluation of the reconstruction accuracy with optimized channels
Soler, Andres; Giraldo, Eduardo; Molinas Cabrera, Maria Marta (Journal article; Peer reviewed, 2023)The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer-interface (BCI) system. Electroencephalography (EEG) based BCI systems employ electrodes to measure ...