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What happens when permanent-magnet electric motors with identical power become smaller and lighter? How changes the electromagnetic behavior? What consequences arise with respect to optimal motor control? This study answers these questions and discusses modeling, parameter identification, and control over inverter-fed, magnetically anisotropic, highly utilized, permanent-magnet synchronous motors.
permanent magnet --- Modell --- Synchronmaschinemodel --- Permanentmagnet --- Parameteridentifikation --- predictive control --- synchronous machine --- Prädiktive Regelung --- parameter identification --- permanent magnet --- Modell --- Synchronmaschinemodel --- Permanentmagnet --- Parameteridentifikation --- predictive control --- synchronous machine --- Prädiktive Regelung --- parameter identification
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What happens when permanent-magnet electric motors with identical power become smaller and lighter? How changes the electromagnetic behavior? What consequences arise with respect to optimal motor control? This study answers these questions and discusses modeling, parameter identification, and control over inverter-fed, magnetically anisotropic, highly utilized, permanent-magnet synchronous motors.
permanent magnet --- Modell --- Synchronmaschinemodel --- Permanentmagnet --- Parameteridentifikation --- predictive control --- synchronous machine --- Prädiktive Regelung --- parameter identification
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What happens when permanent-magnet electric motors with identical power become smaller and lighter? How changes the electromagnetic behavior? What consequences arise with respect to optimal motor control? This study answers these questions and discusses modeling, parameter identification, and control over inverter-fed, magnetically anisotropic, highly utilized, permanent-magnet synchronous motors.
permanent magnet --- Modell --- Synchronmaschinemodel --- Permanentmagnet --- Parameteridentifikation --- predictive control --- synchronous machine --- Prädiktive Regelung --- parameter identification
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Voltage dips occur very often in three-phase power systems. The association of a synchronous machine and a three-point choke can decrease the depth of these and maintain the load voltage within acceptable limits. Simulations are performed for two types of dips resulting from single-phase and three-phase faults. This is done using a load composed of induction machines and of constant admittances. For the first one, the equipment is able to mitigate all the dips. For the second one, more severe, curves showing the duration that can be sustained for a given depth are drawn. The effect of adding inertia to the machine is also analysed and is shown to have a positive impact. Then, the effect of changing the load is investigated. It is found that using a load with full motors or with constant power load have a negative impact.
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Highly utilized permanent magnet synchronous machines with strongly nonlinear characteristics are commonly used in modern hybrid and electric vehicles. Control structures for an efficient and dynamic operation of these drives are described and experimentally validated in this work. Thus the torque can be controlled with the highest possible dynamics, in combination with the maximum utilization and efficiency of the drive system during stationary operation.
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This work is about the reduction of the magnetic load of a permanent magnet synchronous machine in case of a three phase short circuit. A new method is investigated in theory and tested in reality. It is applied to a permanent magnet synchronous machine with surface mounted magnets.
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With the current state of the art angle sensors are used for the operation of permanent magnet synchronous machines in electric and hybrid vehicles. In the present work, a new concept for sensorless control is proposed. The robust operation could be proven with new and further developed sensorless procedures on the machine test bench. The operating range of sensorless control could be significantly increased with the presented methods.
Hybridfahrzeug --- electrical machine --- geberlose Regelung --- sensorless control --- elektrische Maschine --- control theory --- electrical vehicle --- Elektrofahrzeug --- permanent magnet synchronous machine --- Regelungstechnik --- Permanentmagnet Synchronmaschine
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In classical approaches for the torque control of Permanent Magnet Synchronous Machines the torque references are converted into current references by static lookup tables which consider power losses. This procedure is dynamically suboptimal, interdependent and strongly machine-dependent. This work addresses the question: How can a Model Predictive Controller be designed to simultaneously optimize the objectives torque reference tracking and power loss minimization?
Electrical engineering --- Modellprädiktive Regelung (MPR) --- Permanentmagneterregte Synchronmaschine (PSM) --- multikriterielle Optimierung --- lexikographische Optimierung --- Model Predictive Control (MPC) --- Permanent Magnet Synchronous Machine (PMSM) --- Multi-Objective Optimization --- Lexicographic Optimization
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The deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience, efficiency, and flexibility. However, there are still several technical and non-technical challenges regarding the deployment of distributed renewable energy resources. Technical concerns associated with the integration and control of DRERs include, but are not limited, to optimal sizing and placement, optimal operation in grid-connected and islanded modes, as well as the impact of these resources on power quality, power system security, stability, and protection systems. On the other hand, non-technical challenges can be classified into three categories—regulatory issues, social issues, and economic issues. This Special Issue will address all aspects related to the integration and control of distributed renewable energy resources. It aims to understand the existing challenges and explore new solutions and practices for use in overcoming technical challenges.
distribution system --- microgrids --- power quality --- power system management --- power system reliability --- smart grids --- distribution networks --- Monte Carlo simulations --- PV hosting capacity --- photovoltaics --- green communities --- energy independence --- HOMER --- wind turbines --- power losses --- power system optimization --- PV curves --- DG --- TSA/SCA --- solar-powered electric vehicle parking lots --- different PV technologies --- PLO’s profit --- uncertainties --- smart grid paradigm --- distributed generation --- model-based predictive control --- robustness --- worst-case scenario --- min–max optimisation --- intraday forecasting --- Gaussian process regression --- machine learning --- off-grid system --- composite control strategy --- solar photovoltaic panel --- wind turbine --- diesel generator --- energy storage system (ESS) --- synchronous machine (SM) --- permanent magnet brushless DC machine (PMBLDCM) --- power quality improvement --- n/a --- PLO's profit --- min-max optimisation
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The electrical demands in several countries around the world are increasing due to the huge energy requirements of prosperous economies and the human activities of modern life. In order to economically transfer electrical powers from the generation side to the demand side, these powers need to be transferred at high-voltage levels through suitable transmission systems and power substations. To this end, high-voltage transmission systems and power substations are in demand. Actually, they are at the heart of interconnected power systems, in which any faults might lead to unsuitable consequences, abnormal operation situations, security issues, and even power cuts and blackouts. In order to cope with the ever-increasing operation and control complexity and security in interconnected high-voltage power systems, new architectures, concepts, algorithms, and procedures are essential. This book aims to encourage researchers to address the technical issues and research gaps in high-voltage transmission systems and power substations in modern energy systems.
Technology: general issues --- VFTO suppression --- GIS --- high-frequency inductance calculation --- damping busbar --- dynamic state estimation (DSE) --- synchronous machine --- ensemble square root filter (EnSRF) --- Sage-Husa algorithm --- grounding grid --- magnetic field --- orientation --- transient electromagnetic method (TEM) --- traction power-supply system --- protective relay --- digital simulator --- monitoring and controlling system --- railway --- transformer --- transmission line --- discrete wavelet transform --- mother wavelet --- fault classification --- multiprocessor system --- online non-clairvoyant scheduling --- weighted flow time --- potential analysis --- energy efficiency --- modular multilevel converter --- STATCOM --- optimization --- harmonics --- Harris Hawk's optimization --- Atom search optimization --- laser-induced breakdown spectroscopy --- contamination --- insulators --- salt --- calibration curves --- PV water pumping --- high gain DC-DC converter --- modified LUO converter --- hybrid MPPT algorithm --- grey wolf optimizer --- cyber-physical security --- microgrid --- cyber-attacks --- VFTO suppression --- GIS --- high-frequency inductance calculation --- damping busbar --- dynamic state estimation (DSE) --- synchronous machine --- ensemble square root filter (EnSRF) --- Sage-Husa algorithm --- grounding grid --- magnetic field --- orientation --- transient electromagnetic method (TEM) --- traction power-supply system --- protective relay --- digital simulator --- monitoring and controlling system --- railway --- transformer --- transmission line --- discrete wavelet transform --- mother wavelet --- fault classification --- multiprocessor system --- online non-clairvoyant scheduling --- weighted flow time --- potential analysis --- energy efficiency --- modular multilevel converter --- STATCOM --- optimization --- harmonics --- Harris Hawk's optimization --- Atom search optimization --- laser-induced breakdown spectroscopy --- contamination --- insulators --- salt --- calibration curves --- PV water pumping --- high gain DC-DC converter --- modified LUO converter --- hybrid MPPT algorithm --- grey wolf optimizer --- cyber-physical security --- microgrid --- cyber-attacks
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