Optimization
Alireza HossienPour; Ahmad Khajeh
Abstract
In this paper, the effects of magnetization patterns on the performance of Hybrid Electrical Vehicle (HEV) are investigated. HEVs have three magnetic field sources: armature winding, permanent magnets, and field winding. To initiate the investigation, the magnetic field distributions produced by these ...
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In this paper, the effects of magnetization patterns on the performance of Hybrid Electrical Vehicle (HEV) are investigated. HEVs have three magnetic field sources: armature winding, permanent magnets, and field winding. To initiate the investigation, the magnetic field distributions produced by these three sources are obtained. By using the magnetic field distributions, the machine is analyzed under no-load and on-load conditions, and the operational indices, such as self and mutual inductance, cogging-, reluctance- and instantaneous torque, and unbalance magnetic force (UMF) in x- and y direction are calculated. Various magnetization patterns are considered to investigate their influences on the performance of the machine. This step was done with Maxwell software. Furthermore, instantaneous torque and magnitude of UMF are expressed in term of pole arc to pole pitch ratio by using artificial intelligence. The optimal of the pole arc to pole pitch ratio to maximize the average of instantaneous torque and minimize the magnitude of UMF by some multi-objective algorithms is also computed. The modeling and optimization are performed by Matlab Software.
Industrial Electronics
Ahmad Khajeh; Zahra Shabani
Abstract
The Doubly-Fed Induction Generators (DFIG) based Wind Turbines (WT) are widely used in WTs connected to power systems. Traditionally the back-to-back converters are used in order to control the DFIG. In this paper, an Indirect Matrix Converter (IMC) is utilized. Compared with back-to-back converters, ...
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The Doubly-Fed Induction Generators (DFIG) based Wind Turbines (WT) are widely used in WTs connected to power systems. Traditionally the back-to-back converters are used in order to control the DFIG. In this paper, an Indirect Matrix Converter (IMC) is utilized. Compared with back-to-back converters, IMCs have numerous advantages such as: higher level of robustness, reliability, reduced size and weight due to the absence of bulky electrolytic capacitor. According to the recent grid codes it is required that wind turbines remain connected to the grid during grid faults. It means that the plant must be in operation and be able to tolerate the fault conditions. This feature is called Fault Ride-Through (FRT) capability of wind plants. To improve FRT capability of the wind turbine, in this paper an adaptive gain scheduling controller is proposed. The proposed method could increase the damping of fault currents and hence attribute more time to controller for reactive power injection. Therefore, the new FRT standards are satisfied. PSIM simulation results confirm the efficiency of the proposed method.
