Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3653
2016-05-28T08:00:19ZStudy of MVDC system benchmark networks
http://hdl.handle.net/2117/79560
Study of MVDC system benchmark networks
Mesas García, Juan José; Monjo Mur, Lluís; Sainz Sapera, Luis; Pedra Durán, Joaquim
2015-11-23T12:36:22ZMesas García, Juan JoséMonjo Mur, LluísSainz Sapera, LuisPedra Durán, JoaquimStudy of cable short circuit in VSC DC systems
http://hdl.handle.net/2117/79557
Study of cable short circuit in VSC DC systems
Monjo Mur, Lluís; Mesas García, Juan José; Sainz Sapera, Luis; Pedra Durán, Joaquim
2015-11-23T12:31:00ZMonjo Mur, LluísMesas García, Juan JoséSainz Sapera, LuisPedra Durán, JoaquimImpact of voltage sags on DC bus voltage in unipolar LVDC systems
http://hdl.handle.net/2117/79555
Impact of voltage sags on DC bus voltage in unipolar LVDC systems
Monjo Mur, Lluís; Mesas García, Juan José; Sainz Sapera, Luis; Saura Perisé, Jaime; Pedra Durán, Joaquim
2015-11-23T12:28:37ZMonjo Mur, LluísMesas García, Juan JoséSainz Sapera, LuisSaura Perisé, JaimePedra Durán, JoaquimA unified analytical model for characterization of cable faults in VSC DC systems
http://hdl.handle.net/2117/79554
A unified analytical model for characterization of cable faults in VSC DC systems
Mesas García, Juan José; Monjo Mur, Lluís; Sainz Sapera, Luis; Pedra Durán, Joaquim
2015-11-23T12:25:46ZMesas García, Juan JoséMonjo Mur, LluísSainz Sapera, LuisPedra Durán, JoaquimMultiobjective optimization of IPM synchronous motor using response surface methodology and filtered Monte Carlo approach
http://hdl.handle.net/2117/26705
Multiobjective optimization of IPM synchronous motor using response surface methodology and filtered Monte Carlo approach
Seifert, Robert; Bargalló Perpiñá, Ramón
Permanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly effort and hence have been established in a wide market over the past years. Especially buried magnets enable a superior field weakening ability but require an exceptional design effort. Costly Finite Elements computations are inevitable for consideration of the occurring non-linearity and non-trivial magnet shapes. The Response Surface Methodology can reduce the number of FE runs significantly by introducing an acceptably exact second order regression model based on a few carefully chosen design samples. Instead of commonly used, but time-consuming Evolutionary Strategy methods, the Monte Carlo approach is applied for optimization. Using simple filter algorithms, distinctive Pareto frontiers can be determined quickly and related to their causative motor designs.
2015-03-13T17:27:20ZSeifert, RobertBargalló Perpiñá, RamónPermanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly effort and hence have been established in a wide market over the past years. Especially buried magnets enable a superior field weakening ability but require an exceptional design effort. Costly Finite Elements computations are inevitable for consideration of the occurring non-linearity and non-trivial magnet shapes. The Response Surface Methodology can reduce the number of FE runs significantly by introducing an acceptably exact second order regression model based on a few carefully chosen design samples. Instead of commonly used, but time-consuming Evolutionary Strategy methods, the Monte Carlo approach is applied for optimization. Using simple filter algorithms, distinctive Pareto frontiers can be determined quickly and related to their causative motor designs.Burden resistor selection in current transformers for low power applications
http://hdl.handle.net/2117/26509
Burden resistor selection in current transformers for low power applications
Conesa Roca, Alfons; Bargalló Perpiñá, Ramón; Velasco Quesada, Guillermo; Román Lumbreras, Manuel
In order to sense AC current with electric isolation in high frequency switching power converters the most simple and low cost solution is to consider a current transformer with a burden resistor. But burden resistor selection is not a simple task because involves a lot of considerations that affect the output voltage and its signal-to-noise ratio and the bandwidth of the measure. In this paper, considering the basic equations of the transformer and applying the Laplace Transformation is obtained a simple model of the current transformer interesting to select burden resistor and even to design the current transformer in case of high frequency applications
2015-02-25T13:20:09ZConesa Roca, AlfonsBargalló Perpiñá, RamónVelasco Quesada, GuillermoRomán Lumbreras, ManuelIn order to sense AC current with electric isolation in high frequency switching power converters the most simple and low cost solution is to consider a current transformer with a burden resistor. But burden resistor selection is not a simple task because involves a lot of considerations that affect the output voltage and its signal-to-noise ratio and the bandwidth of the measure. In this paper, considering the basic equations of the transformer and applying the Laplace Transformation is obtained a simple model of the current transformer interesting to select burden resistor and even to design the current transformer in case of high frequency applicationsModeling harmonics of networks supplying nonlinear loads
http://hdl.handle.net/2117/26314
Modeling harmonics of networks supplying nonlinear loads
Lamich Arocas, Manuel; Balcells Sendra, Josep; Corbalán Fuertes, Montserrat; Sainz Sapera, Luis; Fernandez, Cristian
This work presents the development and validation of a model for electric networks supplying nonlinear loads (NLL). The model is based on Neural Networks (NN) and its purpose is the prediction of harmonic currents sank by the loads, in case of supply impedance changes caused by the insertion or releasing of neighboring loads or by the voluntary insertion of filters to reduce such harmonic currents. The NN is trained using data obtained from several Matlab simulations and the model is validated using the same network with different supply impedances and load conditions.
2015-02-12T09:34:18ZLamich Arocas, ManuelBalcells Sendra, JosepCorbalán Fuertes, MontserratSainz Sapera, LuisFernandez, CristianThis work presents the development and validation of a model for electric networks supplying nonlinear loads (NLL). The model is based on Neural Networks (NN) and its purpose is the prediction of harmonic currents sank by the loads, in case of supply impedance changes caused by the insertion or releasing of neighboring loads or by the voluntary insertion of filters to reduce such harmonic currents. The NN is trained using data obtained from several Matlab simulations and the model is validated using the same network with different supply impedances and load conditions.Power quality aspects of smart grids
http://hdl.handle.net/2117/26163
Power quality aspects of smart grids
Bollen, Math H.J.; Zhong, Jin; Zavoda, Francisc; Meyer, Jan; McEachern, Alex; Córcoles López, Felipe
This paper gives an overview of the smart grids
developments, seen from a power-quality viewpoint; describes the main relations between smart grids and power quality, and goes into some detail for some of the aspects. Different types of real and virtual energy storage are distinguished. Power-quality monitoring in the smart grid is discussed in detail. Further aspects discussed in the paper are: emission by new devices;
interference between devices and power-line communication; allocation of emission limits; improving voltage quality; immunity of devices; and weakening of the transmission grid.
Although the smart grid brings many new power-quality
challenges, these should not result in the introduction of unnecessary barriers against the introduction of new
technology.
2015-01-29T15:05:06ZBollen, Math H.J.Zhong, JinZavoda, FranciscMeyer, JanMcEachern, AlexCórcoles López, FelipeThis paper gives an overview of the smart grids
developments, seen from a power-quality viewpoint; describes the main relations between smart grids and power quality, and goes into some detail for some of the aspects. Different types of real and virtual energy storage are distinguished. Power-quality monitoring in the smart grid is discussed in detail. Further aspects discussed in the paper are: emission by new devices;
interference between devices and power-line communication; allocation of emission limits; improving voltage quality; immunity of devices; and weakening of the transmission grid.
Although the smart grid brings many new power-quality
challenges, these should not result in the introduction of unnecessary barriers against the introduction of new
technology.Thermal performance analysis of the double sided linear switched reluctance motor
http://hdl.handle.net/2117/24976
Thermal performance analysis of the double sided linear switched reluctance motor
Garcia Amoros, Jordi; Bargalló Perpiñá, Ramón; Andrada Gascón, Pedro; Blanqué Molina, Balduino
This paper presents a study about the thermal
performance of the double-sided flat Linear Switched Reluctance Motor (LSRM) according to the number of phases (m) and the pole stroke (PS). The analysis is performed by
means of the Finite Element Method (FEM) for
electromagnetic computations and a lumped parameter for thermal model (LPT) both linked to an optimization algorithm
based on the Response Surface Methodology (RSM) in order to reduce the computing time. The results show the LSRM behavior for achieving an optimal design from the point of
view of the thermo-mechanical performance for a given insulation class and a duty cycle operating conditions.
2014-12-10T11:01:59ZGarcia Amoros, JordiBargalló Perpiñá, RamónAndrada Gascón, PedroBlanqué Molina, BalduinoThis paper presents a study about the thermal
performance of the double-sided flat Linear Switched Reluctance Motor (LSRM) according to the number of phases (m) and the pole stroke (PS). The analysis is performed by
means of the Finite Element Method (FEM) for
electromagnetic computations and a lumped parameter for thermal model (LPT) both linked to an optimization algorithm
based on the Response Surface Methodology (RSM) in order to reduce the computing time. The results show the LSRM behavior for achieving an optimal design from the point of
view of the thermo-mechanical performance for a given insulation class and a duty cycle operating conditions.Multiobjective optimization of IPM synchronous motors using response surface methodology and filtered montecarlo approach
http://hdl.handle.net/2117/24975
Multiobjective optimization of IPM synchronous motors using response surface methodology and filtered montecarlo approach
Seifert, Robert; Bargalló Perpiñá, Ramón
Permanent Magnet Synchronous Motors offer
high efficiency and power density besides low assembly
effort and hence have been established in a wide market
over the past years. Especially buried magnets enable a
superior field weakening ability but require an
exceptional design effort. Costly Finite Elements
computations are inevitable for consideration of the
occurring non-linearity and non-trivial magnet shapes.
The Response Surface Methodology can reduce the
number of FE runs significantly by introducing an
acceptably exact second order regression model based on
a few carefully chosen design samples. Instead of
commonly used, but time-consuming Evolutionary
Strategy methods, the Monte Carlo approach is applied
for optimization. Using simple filter algorithms,
distinctive Pareto frontiers can be determined quickly
and related to their causative motor designs.
2014-12-10T10:43:20ZSeifert, RobertBargalló Perpiñá, RamónPermanent Magnet Synchronous Motors offer
high efficiency and power density besides low assembly
effort and hence have been established in a wide market
over the past years. Especially buried magnets enable a
superior field weakening ability but require an
exceptional design effort. Costly Finite Elements
computations are inevitable for consideration of the
occurring non-linearity and non-trivial magnet shapes.
The Response Surface Methodology can reduce the
number of FE runs significantly by introducing an
acceptably exact second order regression model based on
a few carefully chosen design samples. Instead of
commonly used, but time-consuming Evolutionary
Strategy methods, the Monte Carlo approach is applied
for optimization. Using simple filter algorithms,
distinctive Pareto frontiers can be determined quickly
and related to their causative motor designs.