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314 results on '"Štumberger, Gorazd"'

3. Energy Efficiency in Electric Devices, Machines and Drives.

Author

Štumberger, Gorazd, Polajžer, Boštjan, and Štumberger, Gorazd

Subjects
History of engineering & technology, DC-DC converter, Halbach Array, OpenModelica, active yawrate control, cogging torque, copper loss, design, dynamic models, dynamic power loss, efficiency, electric vehicle, energy efficiency, finite element method, flux switching machine, fuzzy control, in-wheel electric vehicle, independent 4-wheel drive, induction machines, induction motor, industry, interior permanent magnet synchronous motor, iron losses, kalman filter, luenberger observer, magnetic flux analysis, magnetic loss, magnetic vector potential, mathematical model, maximum efficiency (ME) characteristic, maximum torque per ampere (MTPA) characteristic, model reference adaptive system, modeling, modular rotor, non-overlap winding, nonlinear control, nonlinear magnetics, notch, optimisation, parameter estimation, permanent magnet synchronous machine (PMSM), resistance spot welding, sensorless control, speed estimation, stress analysis, surface permanent magnet, synchronous machines, torque, torque distribution, torque ripple, torque/speed control, traction control, transformer, water circuits
Abstract

Summary: This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.

44. Finding the optimal tap positions of cascade-connected on-load tap-changer-equipped transformers.

Author

Srećković, Nevena, Rošer, Miran, and Štumberger, Gorazd

Subjects
DIFFERENTIAL evolution, POWER distribution networks, IMPACT loads, CONSTRAINED optimization, HUMAN behavior models
Abstract

Copyright of Electrotechnical Review / Elektrotehniski Vestnik is the property of Electrotechnical Society of Slovenia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021

45. Intra-minute cloud passing forecasting based on a low cost iot sensor - a solution for smoothing the output power of PV power plants

Author

Sukič, Primož and Štumberger, Gorazd

Subjects
algorithm, photovoltaic power plant, optični filtri, internet stvari, fotovoltaična elektrarna, Raspberry Pi, senzorji, internet of things, udc:621.31, kamera, sensor, napovedovanje premikanja oblakov, cloud passing forecasting, širokokotni objektiv, algoritmi, optical filters, camera, wide-angle lens
Abstract

Clouds moving at a high speed in front of the Sun can cause step changes in the output power of photovoltaic (PV) power plants, which can lead to voltage fluctuations and stability problems in the connected electricity networks. These effects can be reduced effectively by proper short-term cloud passing forecasting and suitable PV power plant output power control. This paper proposes a low-cost Internet of Things (IoT)-based solution for intra-minute cloud passing forecasting. The hardware consists of a Raspberry PI Model B 3 with a WiFi connection and an OmniVision OV5647 sensor with a mounted wide-angle lens, a circular polarizing (CPL) filter and a natural density (ND) filter. The completely new algorithm for cloud passing forecasting uses the green and blue colors in the photo to determine the position of the Sun, to recognize the clouds, and to predict their movement. The image processing is performed in several stages, considering selectively only a small part of the photo relevant to the movement of the clouds in the vicinity of the Sun in the next minute. The proposed algorithm is compact, fast and suitable for implementation on low cost processors with low computation power. The speed of the cloud parts closest to the Sun is used to predict when the clouds will cover the Sun. WiFi communication is used to transmit this data to the PV power plant control system in order to decrease the output power slowly and smoothly.

Published
2017

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