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Example of Matlab/Simulink Tool Usage for Evaluation of Wind Turbine Operation During Voltage Regulation and Reactive Power Regulation
In this paper, the types of wind turbines are listed and described, with the emphasis on horizontal-axis wind turbines. The parts are explained in more detail, the criteria for the selection of the wind turbine generator and the methods of managing the wind turbine are defined. In the Matlab/Simulink programming environment, a model of an electric power network with a wind farm was created, and the characteristics of the operation of wind turbines under normal and fault conditions were presented.
Journal Article
Equivalent Circuit Parameters for Power Transformer and Implementation of Open and Short Circuit Test Simulation in Matlab (SIMULINK)
This paper describes the power transformer, its basic mode of operation, parts, and construction. Equivalent circuit parameters are defined, and the methods of their determination are explained. A model of the transformer in Simulink was made and the process of its production is described. The created transformer model was then simulated through open and short circuit experiments. The values of the parameters obtained by the simulation were compared with the actual values and conclusions were drawn. The main goal of this work is to determine the precision of the operation of the transformer model in Simulink, and based on the obtained results, the same model can be used in algorithms for checking the operation of the entire power system.
Journal Article
Finding a roadmap to achieve large neuromorphic hardware systems
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techniques are reaching physical limits. These silicon systems mimic extremely energy efficient neural computing structures, potentially both for solving engineering applications as well as understanding neural computation. Toward this end, the authors provide a glimpse at what the technology evolution roadmap looks like for these systems so that Neuromorphic engineers may gain the same benefit of anticipation and foresight that IC designers gained from Moore's law many years ago. Scaling of energy efficiency, performance, and size will be discussed as well as how the implementation and application space of Neuromorphic systems are expected to evolve over time.
Journal Article
Comparison of Solar P O and FLC-based MPPT Controllers Analysis under Dynamic Conditions
Increase in electricity generation is caused due to population increase, which leads to the depletion of fossil fuels, and increased pollution. This leads to focusing on alternate renewable energy, mainly solar photovoltaic generation, due to the abundant availability. The maximum power generated by a PV module depends on the temperature and irradiance because the P-V and V-I natures are non-linear. Various DC-DC boost converters are used along with the MPPT techniques because the conversion efficiency of the PV system is low [1][2]. In this paper, comparative analysis between Perturb and Observe (P&O) and Fuzzy Logic-based Maximum Power Point Tracking (MPPT) systems along with modified SEPIC are done using MATLAB/ SIMULINK software. Simulations are done at different irradiations to observe its tracking speed towards MPP. From the obtained output (simulation), it is observed that the Fuzzy Logic Converter (FLC)-based MPPT controllers have good dynamic performance, reduced oscillation, high tracking speed, maximum power, etc...[3].
Journal Article
Virtual Model of the Kyburz Vehicle using the FMI Standard
The article deals with describing the methodology of connecting Adams/Car and Matlab/Simulink programs using the FMI standard. To demonstrate the connection, a Kyburz vehicle model was created as a virtual vehicle.
Journal Article
High performance control of AC drives with MATLAB/Simulink models
A comprehensive guide to understanding AC machines with exhaustive simulation models to practice design and controlNearly seventy percent of the electricity generated worldwide is used by electrical motors. Worldwide, huge research efforts are being made to develop commercially viable three- and multi-phase motor drive systems that are economically and technically feasible.Focusing on the most popular AC machines used in industry - induction machine and permanent magnet synchronous machine - this book illustrates advanced control techniques and topologies in practice and recently deployed. Examples are drawn from important techniques including Vector Control, Direct Torque Control, Nonlinear Control, Predictive Control, multi-phase drives and multilevel inverters.Key features include:systematic coverage of the advanced concepts of AC motor drives with and without output filter;discussion on the modelling, analysis and control of three- and multi-phase AC machine drives, including the recently developed multi-phase-phase drive system and double fed induction machine;description of model predictive control applied to power converters and AC drives, illustrated together with their simulation models;end-of-chapter questions, with answers and PowerPoint slides available on the companion website www.wiley.com/go/aburub_controlThis book integrates a diverse range of topics into one useful volume, including most the latest developments. It provides an effective guideline for students and professionals on many vital electric drives aspects. It is an advanced textbook for final year undergraduate and graduate students, and researchers in power electronics, electric drives and motor control. It is also a handy tool for specialists and practicing engineers wanting to develop and verify their own algorithms and techniques.
eBook
Fuzzy logic-based controller of the bidirectional direct current to direct current converter in microgrid
Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage to charge and discharge based on state-of-charge (SoC) value, this type of battery requires the use of an energy management system. The main objective of this paper is to propose an intelligent control strategy for energy management in the microgrid to control the charge and discharge of Li-ion batteries to stabilize the system and reduce the cost of electricity due to the high cost of grid electricity. The proposed technique is based on a fuzzy logic controller (FLC) for voltage control. The FLC is based on the measured voltage of the direct current (DC) bus and the fixed reference voltage to generate buck/boost converter signal control. The proposed technique has been simulated and tested using MATLAB/Simulink software which illustrates the tracking of desired power and DC bus voltage regulation. The simulation results confirm that the proposed systems can diminish the deviations of the system's voltage.
Journal Article
A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models
Supercapacitors with characteristics such as high power density, long cycling life, fast charge, and discharge response are used in different applications like hybrid and electric vehicles, grid integration of renewable energies, or medical equipment. The parametric identification and the supercapacitor model selection are two complex processes, which have a critical impact on the system design process. This paper shows a comparison of the six commonly used supercapacitor models, as well as a general and straightforward identification parameter procedure based on Simulink or Simscape and the Optimization Toolbox of Matlab®. The proposed procedure allows for estimating the different parameters of every model using a different identification current profile. Once the parameters have been obtained, the performance of each supercapacitor model is evaluated through two current profiles applied to hybrid electric vehicles, the urban driving cycle (ECE-15 or UDC) and the hybrid pulse power characterization (HPPC). The experimental results show that the model accuracy depends on the identification profile, as well as the robustness of each supercapacitor model. Finally, some model and identification current profile recommendations are detailed.
Journal Article