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This paper presents a generalized switching function model of the modular multilevel converter (MMC) that can be used instead of MMC electromagnetic transient simulation model for full-scale simulations of high-voltage dc (HVDC) and flexible ac transmission systems (FACTS). The proposed method is computationally more efficient and numerically stable than its electromagnetic transient simulation counterpart,...
Nowadays advanced software programs are actively used in the field for simulation and modeling. LabVIEW and MATLAB/Simulink are both graphical programming languages, allowing a more efficient method to perform and analyze control systems. Therefore, they are the most commonly used software programs for these purposes. Moreover; in some applications — like hardware in the loop systems, flight simulations...
Three algorithms for hand position tracking are presented. These algorithms work in real time, have low computational cost and only use the depth image obtained from a RGB-d camera, therefore they are light and skin color invariant. Despite the fact that there are libraries that perform hand position tracking using RGB-d cameras (Like Microsoft Kinect SDK, and PrimeSense's NITE), these libraries generally...
Testing of newly designed protective relay logics is essential prior to the installation of the relay hardware in power systems. Real-time simulators (rts) are widely used to simulate the computer models of the power system in real-time to analyze the closed loop performance of the relay. This kind of simulation is expensive because high performance processing units are required for the rts systems...
The paper presents a technique for parameter estimation of photovoltaic (PV) modules from datasheet information. The manufacturer normally provides open-circuit voltage, short-circuit current, maximum power, and voltage at maximum power under the standard test conditions (STC). The four datasheet values represent the targeted performance of the module. Parameter estimation is formulated as an optimization...
This paper proposes a method to analyse stability of multi-rate system. Multi-rate systems are used to simulate different part of the circuit with different sampling rate. This allows to reduce computational burden of stiff system; by choosing the most appropriate time-step according to the time constant of the phenomena studied. Traditionally, stability of discrete system is done by studying the...
Accurate computational simulations are highly required to properly assess the performance of power grids under high penetration levels of non-conventional generation which connects to the grid via static power converters. However, software packages that are typically used to perform power system analysis may not necessarily have the capacity to efficiently perform detailed simulations of power grids...
This paper analyses the capacity of a new FPGA-based System-on-Chip (SoC) platform for the control of electrical systems. These new SoC platforms integrate both an FPGA fabric and a powerful processor. Among these platforms the Xilinx Zynq-7000 All Programmable (AP) System on-Chip is evaluated. The chosen algorithmic benchmark consists on a realtime simulation of a Voltage Source Rectifier (VSR) connected...
Plant-wide control in a circulating fluidized bed (CFB) power plant is considered. In particular, the self-optimizing control approach is used. The main contribution is applying the analysis in a pilot-sized CFB, which has not been reported before. This work focuses on conventional air-fired CFB combustion, for which a lot of experience on control design is already available. Therefore the results...
Electrochemical batteries are complex devices to model whose static and dynamic responses are highly dependent on the value of its internal and external variables. This paper aims to determine the different importance of considering three of them (state of charge, hysteresis and room temperature) on the battery modeling accuracy. The battery model used in the paper is based on an electrical model...
Sequential Monte Carlo methods (Particle Filters) have been successfully applied to the online training of neural networks. However the generic Particle Filter requires the model noise to be known prior to training. Furthermore, the random walk assumption with which the network weights are modeled by may be problematic as a result of the insufficient knowledge of the model noise. In this paper, the...
In this paper we apply two reduction algorithms of a neural network architecture in order to improve the prediction quality of a multilayer perceptron network (MLP). The first algorithm is Optimal Brain Damage (OBD), whereas the second is Optimal Brain Surgeon (OBS). Our assumptions have been verified experimentally on the models for electricity consumption prediction using real data from the Polish...
The paper describes the way of extending a basic diode SPICE model for a possibility to simulate realistic reverse recovery of power diodes. The proposed macro model uses all basic diode model characteristics and processes the diffusion capacitance current for adjusting reverse recovery. A Windows application tool was made to simplify creating a new diode SPICE sub-model using the manufacturer data...
System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine...
This paper presents a methodology and a tool for modeling and simulating job assignment and migrations in large scale cloud infrastructures consisting of hundreds of thousands of processing, storage and networking nodes. Each cloud node, whether a server, or a disk array or a network element can be modeled according to a generalized single node queuing model, with appropriate parameterization and...
The growing complexity of today's industrial systems motivates many researchers to utilize Event-Based Industrial Automation Systems (EBIAS) that enable to flexibly integrate heterogeneous components. However, developers of EBIAS lack efficient methods to verify the non-functional reliability of such systems. This methodological gap complicates the design of complex commercial systems with strict...
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