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This paper presents comprehensive validation tests of a recent qd0-frame core-loss model of three-phase induction machines at different load conditions. The machine is run at different frequencies/speeds and flux levels. These tests reinforce the model at different operating conditions before further model-based analysis and control design. Moreover, to properly use the model, a series of model parameter...
This paper presents a multi-physics finite-element-analysis (FEA) model that is used to study the impacts of a new nano-structured stator winding insulation material in large propulsion electric machines. Electromagnetic and thermal simulations are performed in ANSYS Maxwell and Steady-state Thermal respectively, and then linked in ANSYS Workbench interface. Detailed construction of the multi-physics...
This paper proposes a generalized logic-based method for fault diagnosis in multilevel inverters that can be integrated with reconfiguration methods. Thus, both effective fault diagnosis and fault tolerance can be accomplished. To validate such integration, the proposed fault diagnosis method is applied to a five-level neutral point clamped inverter with three reconfiguration methods proposed in the...
Scalar control has been the most popular control method implemented in induction machine drive systems. This paper presents an enhanced open-loop Volts-per-Hertz (V/f) controller aimed at strengthening the magnetizing flux of an induction machine when operated below its rated frequency. Instead of using the traditional constant V/f based on the idealized approximate steady-state machine model and/or...
This paper compares two main topologies used for capacitive-coupled consumer wireless charging which has several advantages over inductive coupling including lower cost and no shielding requirements. There has been minimal data in the literature on preferred transmitter topologies. Two types of transmission systems are compared in simulations and experiments. An experimental charging system was built...
This paper presents a real-time integrated model of a micro-grid to simulate its electrical energy infrastructure. This infrastructure includes two PV arrays, a fuel cell, and a diesel generator that support building loads when islanded from the utility grid. The paper reviews existing models, which are usually available either as 1) low-level dynamic models, along with power electronics for specific...
In this paper, a comprehensive behavioral efficiency model of an electric motor drive system is proposed. The proposed model includes all possible motor drive losses without ignoring, approximating or assuming any of the inverter or machine losses, which are usually done for other efficiency models, hence the model is comprehensive. The input (DC electrical) and the output (mechanical) power of the...
This paper proposes reliability block diagrams for various photovoltaic (PV) system topologies and evaluates their reliability functions and mean time to failure (MTTF). The paper presents sensitivity analysis of the system MTTF with respect to individual failure rates of power electronic converters. The proposed approach can be used to determine reliability specifications of required converters in...
This paper provides a comprehensive analysis and comparison of different rotor bar material in squirrel-cage induction machine from electrical, physical and economic perspectives in order to explore the impacts of rotor bar material on machine efficiency with physical and economic considerations. Specifically, aluminum, copper and silver are selected in this work and studied on three machines of different...
Adaptive estimation over distributed networks has received a lot of attention due to its broad range of applications. A useful estimation strategy is diffusion adaptive network, where the parameters of interest can be well estimated from noisy measurements through diffusion cooperation between nodes. The conventional diffusion algorithms exhibit good performance in the presence of Gaussian noise but...
This paper presents a threshold-based approach for power grid fault diagnosis in a power system based on correlation between fault types and basic measurements. The main focus is on faults that may occur on transmission and distribution lines due to uncontrolled events. The proposed method utilizes simple voltage and current measurements in transmission lines to extract divergence of these measurements...
This paper reviews three main methods in reliability analysis for power systems and applies them to a micro-grid with significant clean energy penetration. The approaches used are Reliability Block Diagrams (RBD), Fault Tree Analysis (FTA) and Markov Reliability Modeling (MRM). Each method is introduced and applied to a simple system to illustrate its application procedure. Reliability parameters...
In this paper we propose a distributed and adaptive algorithm for collaborative processing of the complex signals. The proposed algorithm, which will be referred to as the incremental augmented affine projection algorithm (IncAAPA), not only utilizes the full second order statistical information in complex domain but also exploits the spatial diversity which is provided by the distribution of the...
We study the effect of fading in the communication channels between nodes on the performance of the incremental least mean square (ILMS) algorithm. We derive steady-state performance metrics, including the mean-square deviation (MSD), excess mean-square error (EMSE), and mean-square error (MSE). We obtain the sufficient conditions to ensure mean-square convergence, and verify our results through simulations...
This paper proposes a novel analytical loss model of an induction motor drive system and a model-based loss minimization technique (LMT). Although various models of individual motors and inverters are found in the literature, a comprehensive model of the inverter-fed drive system is lacking which impedes the optimization of the system-level efficiency. The proposed model contains a novel dynamic induction...
Although reference frame theory is fundamental for machine modeling and control, core loss is commonly ignored in the quadratic-direct-zero (qd0) frame machine models. This paper proposes and validates a new analytical core loss model of an induction machine in the arbitrary qd0-frame. The proposed model is based on the machine's dynamic model in the three-phase abc-frame with a core loss branch integrated...
In this paper, the traditional Fault Tree Analysis (FTA) method combined with Monte Carlo simulations (MCSs) is introduced to a real micro-gird with significant clean energy penetration. Importance of different components in the micro-grid is first found using the traditional FTA but cannot show a clear illustration of the system's reliability with respect to time. Using the proposed fault-tree-MCS...
This paper introduces a new analytical method for locating the maximum power point of solar photovoltaic systems under partial shading. Several already established analytical models are expanded upon in order to derive a series of equations which can accurately simulate a photovoltaic power and/or current curve under uniform and partial shading conditions. The analytical model can subsequently determine...
This paper presents a new flyback converter topology with dual DC and AC outputs. In traditional flyback converters, usually there are multiple secondary windings that can be utilized to construct few additional output ports. This new topology takes advantage of one of additional secondary windings to generate continuous AC voltage, accompanying with the conventional DC output voltage. In this new...
This paper presents a fuzzy-logic approach for fault diagnosis in a plug-in hybrid electric vehicle (PHEV) or electric vehicle (EV) charger. The approach correlates faults and basic measurements then utilizes fuzzy logic to diagnose a fault. Redundancy is engaged as needed based on the fuzzy logic decision. Experimental validation is first shown for the converter model. Then, a fuzzy system is developed...
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