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Due to the complex and nonlinear nature of electric railway supply system the system is a good candidate for the resonance occurrence. Resonance can boost some voltage or current harmonic components and may cause damage to the network equipment. Therefore resonance assessment and finding the resonance frequencies in the electrified railway system is important. In order to evaluate frequency response...
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 aims at modeling a typical battery using electrical circuit models that best fit its operational behavior. Battery models are essential in properly designing battery-driven systems, which are commonly used in practice. The circuit models are derived from previous literature, and potential improvements are taken into consideration. The parameters of the design are derived via a method based...
In this paper, we present an innovative approach in detecting fault conditions in a battery in which multiple model adaptive estimation (MMAE) technique is applied using electrochemical model of a Li-Ion cell. This physics based model of Li-ion battery (with LiCoO2 cathode chemistry) with healthy battery parameters was considered as the reference model. Battery fault conditions such as aging, overcharge,...
This paper presents a new behavioural electrothermal model of power Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET) under SPICE. This model is based on the MOSFET model level 1of SPICE, in which phenomena such as Drain Leakage Current IDSS, On-State Resistance RDSon, gate Threshold voltage VGSth, the transconductance (gfs), I-V Characteristics Body diode, temperature-dependent...
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