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The capability of islanding detection has become a requirement for grid connection of inverters utilized in distributed generation (DG) systems. The parallel RLC resonant circuit comprised, as a local load, in the standard test of islanding detection schemes offers lower impedance for higher frequency harmonics. With the presence of such a parallel RLC circuit, the full power balance between the distributed...
Under the umbrella of the Computational Intelligence (CI) the performance of a two algorithms: Particle swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO), when used for inter-turn short circuit stator winding fault of induction machine, is investigated in this paper. The proposed condition monitoring technique uses time domain terminal data in conjunction with the optimization algorithm...
This paper presents a control system of an Induction Machine (IM) with predictive controller-estimator. A novel speed estimator is proposed, and the estimator operation is examined at different operational conditions. The new estimator shows an improvement in the speed estimation during the transient operation compared to the conventional estimators, and it also shows a satisfactory operation at different...
The performance of a stochastic search algorithm, Bacterial Foraging Optimization (BFO), when used for fault identification of induction machine stator and rotor winding faults, is investigated in this paper. The proposed condition monitoring technique uses time domain terminal data in conjunction with the optimization algorithm and an induction machine model to indicate the presence of a fault and...
In this paper, an identification technique for fault detection of induction machines using Genetic Algorithm (GA) is investigated. The condition monitoring technique proposed in this paper indicates the presence of a winding fault and provides information about its nature and location. The data required for the proposed method are motor terminal voltages, stator currents and rotor speed obtained during...
An algorithm for computing the reactive power requirement of induction generator based distributed generation is proposed in this paper. The machine equivalent circuit is combined with an AC power flow algorithm and particle swarm optimization (PSO), for simultaneous integration of induction generation and shunt compensation capacitors in a power distribution network with the objective of minimizing...
In this paper, an experimental eleven-phase induction machine is simulated when operating at fault conditions using Finite Element (FE) analysis. Two fault cases representing one phase and two phases open are considered. Two optimization techniques are employed to calculate the optimum phase currents under phase(s) loss to maintain the same Magneto-Motive Force (MMF) distribution as with the healthy...
The mechanical drivetrain dynamics of electric vehicles can have a detrimental effect on the performance of the vehicle speed controller. This is mainly caused by the feedback only being available from the motor encoder, with no measurement of the actual vehicle speed. In this paper it is shown how the vehicle driveability can be greatly improved if estimates of vehicle speed and mass are obtained...
In this paper, Particle Swarm Optimization (PSO) is employed to size and locate Distributed Generation (DG) in a distribution network to provide a more effective loss reduction and voltage support. Unlike most previous studies, DG nodes are modelled as generator (PV) nodes in this study. Three network scenarios are considered: a network with no generation but with reactive power compensation capacitors,...
MOSFET transistors are continuously being an essential part of power electronic converters due to their low switching losses at high switching frequencies. However, the traditional power MOSFET suffers from a relatively low breakdown voltage. In the late 1990's, the CoolMOS transistor was launched by Infineon Technologies based on the super junction technology. This device is capable of blocking a...
In this paper, an optimization technique based on Genetic Algorithm (GA) is proposed to calculate the optimum phase currents of a multi-phase induction machine under phase(s) loss to maintain the same Magneto-Motive Force (MMF) distribution as with the healthy case. Conventional optimization method requires solving complex nonlinear equations. Moreover, constraints should be selected such that the...
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