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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.

Voltage conditioner --- Synchronous machine --- Voltage dips --- Power quality --- Ingénierie, informatique & technologie > Ingénierie électrique & électronique

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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.

three phase short circuit --- reduction of the magnetic load --- Reduzierung der Magnetbelastungpermanent magnet synchronous machine --- Permanentmagneterregte Synchronmaschine --- Dreiphasiger Stoßkurzschluss

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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.

Technology: general issues --- History of engineering & technology --- 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