<![CDATA[ IEEE Transactions on Industry Applications - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 28 2018February 22<![CDATA[Table of Contents]]>541C14179<![CDATA[IEEE Industry Applications Society]]>541C2C254<![CDATA[Identifying the Requirements for Qualified, Unqualified, and Competent Persons Electrical Safety Training]]>54159133<![CDATA[Generation Scheduling Optimization of Wind-Energy Storage System Based on Wind Power Output Fluctuation Features]]>54110171020<![CDATA[Improvement of Power Quality by Using Advanced Reactive Power Compensation]]>54118241029<![CDATA[Intrinsically Safe Grounding Systems and Global Grounding Systems]]>5412531426<![CDATA[The In-Op Design of Electrical Distribution Systems Based on Microsystem Criteria]]>5413238251<![CDATA[Testing the Performance of Bus-Split Aggregation Method for Residential Loads]]>$P_{Z}$ and $P_{S}$) load components. The values of $P_{Z}$ and $P_{S}$ are determined by the ZIP phaselet method, which can provide $P_{Z}$ and $P_{S}$ for each reading of the household power meter. The combination of the ZIP-phaselet method and bus-split aggregation can eliminate the need for measuring the power demands of individual energy storage appliances, thus, simplifying the implementation of the the bus-split aggregating of residential loads. The bus-split method has been implemented for performance evaluation using data collected from 20 households during the fall, winter, spring, and summer seasons. Performance results show that the developed aggregation method can provide accurate, simple, and nonintrusive aggregation of the power demands for energy storage appliances. Moreover, test results show that the bus-split method has minor sensitivity to the type and/or ratings of aggregated appliances, along with negligible sensitivity to seasonal variations of household power demands.]]>5413949658<![CDATA[Stability Improvement of a Multimachine Power System Connected With a Large-Scale Hybrid Wind-Photovoltaic Farm Using a Supercapacitor]]>54150601354<![CDATA[Reliability Assessment of Microgrids With Local and Mobile Generation, Time-Dependent Profiles, and Intraday Reconfiguration]]>54161722311<![CDATA[Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC]]>54173812349<![CDATA[Power Quality Improvement of Grid-Connected DC Microgrids Using Repetitive Learning-Based PLL Under Abnormal Grid Conditions]]>54182905085<![CDATA[Design and Tuning of Robust Fractional Order Controller for Autonomous Microgrid VSC System]]>$lambda$ controller has an additional degree of freedom $lambda$ along with $k_p$ and $k_i$ gains of the conventional PI controller. Detailed modeling of a VSC is used in the controller design process so as it include inner current control and filter dynamics. The outer fractional voltage controller is designed such that the VSC system satisfies a required phase margin, with improved robustness in the system and capability to attenuate the noise. The overall system stability is analyzed using both bode plot and step response, and these responses are compared with a conventional PI controller. Further, the dynamic performance of the fractional controller is evaluated by simulating the nonlinear system. A hardware prototype is also developed to demonstrate the practical realization of the controller.]]>541911013047<![CDATA[Dynamic Analysis of Small Wind Turbines Frequency Support Capability in a Low-Power Wind-Diesel Microgrid]]>5411021111559<![CDATA[Improved Frequency Regulation in an Islanded Mixed Source Microgrid Through Coordinated Operation of DERs and Smart Loads]]>5411121201340<![CDATA[Power Quality Investigation in Ceramic Insulator]]>5411211343642<![CDATA[Communication Modeling for Differential Protection in IEC-61850-Based Substations]]>541135142809<![CDATA[Virtual Relay Design for Feeder Protection Testing With Online Simulation]]>5411431491178<![CDATA[Secondary Low-Voltage Circuit Models—How Good is Good Enough?]]>5411501591583<![CDATA[Three-Dimensional Equivalent Magnetic Circuit Network Method for Precise and Fast Analysis of PM-Assisted Claw-Pole Synchronous Motor]]>5411601714835<![CDATA[Design and Analysis of a Flux Reversal Machine With Evenly Distributed Permanent Magnets]]>5411721833062<![CDATA[Fault Investigations on Die-Cast Copper Rotors]]>5411841941329<![CDATA[New SMC Materials for Small Electrical Machine With Very Good Mechanical Properties]]>5411952031883<![CDATA[A Semi-Anaytical Model for the Analysis of a Permanent Magnet Tubular Linear Generator]]>5412042121093<![CDATA[Current Waveform for Noise Reduction of a Switched Reluctance Motor Under Magnetically Saturated Condition]]>5412132224449<![CDATA[Separately Excited Synchronous Motor With Rotary Transformer for Hybrid Vehicle Application]]>5412232321833<![CDATA[Design Optimization of a High-Speed Synchronous Reluctance Machine]]>5412332431040<![CDATA[Analysis and Design of Triple-Rotor Axial-Flux Spoke-Array Vernier Permanent Magnet Machines]]>3. A prototype has been designed and tested to validate the results. No-load test result is illustrated in this paper and the rated load experiment will be added in the future.]]>5412442531309<![CDATA[Development and Evaluation of an Axial Gap Motor Using Neodymium Bonded Magnet]]>5412542622028<![CDATA[Verification of a Vertical Stabilization Converter for a Superconducting Coil by Using a Real-Time Simulator]]>5412632732007<![CDATA[A DC–DC Converter With Quadratic Gain and Bidirectional Capability for Batteries/Supercapacitors]]>5412742851933<![CDATA[State Observer for Grid-Voltage Sensorless Control of a Converter Under Unbalanced Conditions]]>5412862971397<![CDATA[Circulating Current Suppression in Modular Multilevel Converters With Even-Harmonic Repetitive Control]]>5412983097622<![CDATA[Fault Diagnosis and Fault-Tolerant Control Operation of Nonisolated DC–DC Converters]]>5413103202327<![CDATA[High-Efficiency <sc>mosfet</sc>-Based MMC Design for LVDC Distribution Systems]]>mosfet-based modular multilevel converter (MMC) as a promising alternative to the conventional two-level insulated gate bipolar transistor-based converter. This is due to the comparatively higher efficiency, power quality and reliability, and reduced electromagnetic (EM) emissions. A comprehensive analysis of a Si mosfet five-level MMC converter design is performed to investigate the suitability of the topology for LVdc applications. Detailed theoretical analysis of the five-level MMC is presented, with simulated and experimental results to demonstrate circuit performance. To suppress the ac circulating current, especially the dominant second harmonics, this paper presents a double line-frequency proportional integral (PI) with orthogonal imaginary axis control method. Comparison of simulation and experimental results with those for double line-frequency proportional resonant control shows that the proposed PI controller has a better performance. In addition, it is simpler to implement and more immune to sampling/discretization errors.]]>5413213343125<![CDATA[A Family of Series-Resonant DC–DC Converter With Fault-Tolerance Capability]]>5413353441925<![CDATA[Decentralized Active and Reactive Power Control for an AC-Stacked PV Inverter With Single Member Phase Compensation]]>5413453552434<![CDATA[Frequency Domain Analysis and Optimal Design of Isolated Bidirectional Series Resonant Converter]]>5413563661348<![CDATA[Dual-Loop Digital Control of a Three-Phase Power Supply Unit With Reduced Sensor Count]]>5413673751411<![CDATA[A 2-MHz Wide-Input Hybrid Resonant Converter With Ultracompact Planar Coupled Inductor for Low-Power Integrated On-Chip Applications]]>5413763872164<![CDATA[High Performance Parallel Single-Phase Converter Reconfiguration for Enhanced Availability]]>5413883941144<![CDATA[Lifetime Estimation of Discrete IGBT Devices Based on Gaussian Process]]>$(V_{{rm{ce}},{rm{on}}})$ variations are characterized for discrete IGBT devices exposed to cyclic thermal stresses. Variations in $V_{{rm{ce}},{rm{on}}}$ are carefully identified and classified depending on different aging mechanisms, stress levels, and device structures. A probabilistic framework for remaining useful lifetime (RUL) estimation based on the knowledge obtained by accelerated aging experiments for real-time RUL estimation has been proposed. Specifically, the proposed model uses Gaussian process regression (GPR) for applying a Bayesian inference (BI) on RUL estimation of the device under test. Using BI reduces the uncertainty associated with RUL estimation and leads to more accurate results. This concept is also tested by comparing the classical maximum-likelihood estimation and GPR estimation results with the ones obtained by accelerated aging tests.]]>5413954032132<![CDATA[Spatial Electro-Thermal Modeling and Simulation of Power Electronic Modules]]>5414044152324<![CDATA[Analysis and Behavioral Modeling of Monolithic Digital Potentiometers]]>${25,rm{k}Omega }$ , is less than 5%. Moreover, an error of 5% is quite acceptable, considering the technological tolerances of the parameters.]]>5414164251775<![CDATA[Thermal State of Charge Estimation in Phase Change Composites for Passively Cooled Lithium-Ion Battery Packs]]>5414264361172<![CDATA[A Novel Wide Duty Cycle Range Wide Band High Frequency Isolated Gate Driver for Power Converters]]>$%$ duty cycle range together with galvanic isolation. The gate driver switching frequency is independent of the main pulse-width modulation frequency (PWM). As a result, the gate driver switching devices and magnetics are designed for high frequencies independent of the main PWM frequency. At high frequencies, problems of resonance due to parasitics become significant. This paper discusses this problem and proposes a novel solution to mitigate it. In addition, this paper also presents a novel solution and circuit to produce negative gate pulse for miller clamp. The proposed circuit can be used for any application, irrespective of switching frequency, thus making it a wide band generalized gate driver. The circuit is analyzed and verified experimentally.]]>5414374462145<![CDATA[Benchmarking of Constant Power Generation Strategies for Single-Phase Grid-Connected Photovoltaic Systems]]>5414474571502<![CDATA[Piezoelectric Rainfall Energy Harvester Performance by an Advanced Arduino-Based Measuring System]]>5414584681292<![CDATA[A PV Residential Microinverter With Grid-Support Function: Design, Implementation, and Field Testing]]>5414694812477<![CDATA[Soft-Switched High Voltage Gain Boost-Integrated Flyback Converter Interfaced Single-Phase Grid-Tied Inverter for SPV Integration]]>mosfets and ZCS turn-off of all diodes of resonant voltage multiplier cell results in high efficient power conversion compared with the conventional boost-integrated flyback converters. Small-sized coupled inductor enhances magnetic utilization in this converter. Second stage consists of a single-phase H-bridge grid interfaced inverter with variable band hysteresis current control technique. Amplitude adaptive notch filter is used to extract fundamental unit voltage vector of grid voltage required for estimation of synchronized reference current for hysteresis controller. A 250 W laboratory prototype is developed and experimentally evaluated. Experimental results demonstrate efficient renewable energy conversion at dc–dc converter stage and quality power injection at dc–ac inverter stage of the proposed grid-tied SPV system under changing solar insulation levels.]]>5414824934515<![CDATA[An Isolated Multi-Input ZCS DC–DC Front-End-Converter Based Multilevel Inverter for the Integration of Renewable Energy Sources]]>off is achieved in both the controllable switches with the proposed modulation scheme. The converter maintains ZCS turn-off under a wide load, as well as input voltage variations by employing frequency modulation along with a variable duty ratio technique. Simple structure, soft switching, high gain, and automatic load regulation make the converter structure novel for simultaneous power management in multi-input renewable energy applications. Converter operation and design guidelines have been outlined. A laboratory prototype of the proposed converter is developed and tested at 300-W power level. Simulations and experimental results demonstrate the robust performance of the converter under load, as well as input source voltage variations.]]>5414945041576<![CDATA[A Generalized and Flexible Control Scheme for Photovoltaic Grid-Tie Microinverters]]>5415055161880<![CDATA[Degradation Behavior of Lithium-Ion Batteries During Calendar Ageing—The Case of the Internal Resistance Increase]]>5415175251620<![CDATA[Dynamic Power Management and Control of a PV PEM Fuel-Cell-Based Standalone ac/dc Microgrid Using Hybrid Energy Storage]]>5415265382308<![CDATA[Analysis and Implementation of Closed-Loop Control of Electrolytic Capacitor-Less Six-Pulse DC-Link Bidirectional Three-Phase Grid-Tied Inverter]]>5415395501796<![CDATA[Dynamic Modeling and Feasibility Analysis of a Solid-State Transformer-Based Power Distribution System]]>5415515621435<![CDATA[An Improved Adjustable Step Adaptive Neuron-Based Control Approach for the Grid-Supportive SPV System]]>5415635702425<![CDATA[A New ZVS Full-Bridge DC–DC Converter for Battery Charging With Reduced Losses Over Full-Load Range]]>on at zero voltage over the battery-charging range with the help of passive auxiliary circuit. The diode clamping circuit on the primary side minimizes the severity of voltage spikes across the secondary rectifier diodes, which are commonly present in conventional full-bridge dc–dc converters. The main switches are controlled with an asymmetrical pulse-width modulation (APWM) technique resulting in higher efficiency. APWM reduces the current stress of the main switches and the circulating losses compared with the conventional phase-shift modulation method by controlling the auxiliary inductor current over the entire operating range of the proposed converter. The steady-state analysis of auxiliary circuit and its design considerations are discussed in detail. A 100-kHz 1.2-kW full-bridge dc–dc converter prototype is developed. The experimental results are presented to validate the analysis and efficiency of the proposed converter.]]>5415715791482<![CDATA[Charging Behavior of Users Utilizing Battery Electric Vehicles and Extended Range Electric Vehicles Within the Scope of a Field Test]]>5415805905537<![CDATA[Further Progress in the Electrostatic Nucleation of Water Vapor]]>5415915981828<![CDATA[Fundamental Study of Hexadecane Removal by Atmospheric Microplasma]]>6H_{12}), 1-heptene (C_{7}H_{14}), and 1-octene (C_{8}H_{16}) as intermediate products. CO_{2} and N_{2}O were also confirmed as final products of the microplasma treatment process.]]>541599604886<![CDATA[Analysis of Hexadecane Decomposition by Atmospheric Microplasma]]>μg/W·h. Several by-products were obtained with the plasma process and were analyzed by detector tubes, Fourier transform infrared spectroscopy, and gas chromatograph–mass spectrometer. According to the analysis of the products, hexadecane was decomposed to alkane or alkene, which contains less carbon number 16, and finally, it was decomposed to CO. It became apparent that plasma can cut carbon bonds.]]>5416056101203<![CDATA[Model Reference Adaptive Sliding Surface Design for Nonlinear Systems]]>5416116242295<![CDATA[BLDC Motor Drive Based on Bridgeless Landsman PFC Converter With Single Sensor and Reduced Stress on Power Devices]]>5416256352192<![CDATA[Improving Grid Power Availability in Rural Telecom Exchanges]]>5416366465803<![CDATA[An Effective Compensation Technique for Speed Smoothness at Low-Speed Operation of PMSM Drives]]>5416476551644<![CDATA[Voltage and Reactive Power Control to Maximize the Energy Savings in Power Distribution System With Wind Energy]]>541656664497<![CDATA[Robust Voltage Control of Floating Interleaved Boost Converter for Fuel Cell Systems]]>5416656741381<![CDATA[An Iterative Method for Detecting and Localizing Islands Within Sparse Matrixes Using DSSim-RT]]> $Y_{{text{BUS}}}$ matrix that describes the network components and their connectivity, looking to factorizing the $Y_{{text{Bus}}}$ matrix to solve the power flow problem. These techniques are very functional and efficient; however, some of them require detailed information of the network, and are addressed to cover meshed and radial network configurations separately. This paper presents an iterative algorithm that uses the compressed coordinate branch-to-node matrix for detecting, classifying, and grouping islands within sparse matrixes, describing mesh or radial networks. This algorithm is a valuable tool to simplify islands location and can be implemented using any programing language due to its simplicity. This method is used in Distribution System Simulator - Real Time Version (DSSim-RT), which is a simulator based in OpenDSS, for tearing the power system network to allow the multithread power flow analysis of distribution sys-
ems in real time.]]>5416756841495<![CDATA[Real-Time Monitoring of Post-Fault Scenario for Determining Generator Coherency and Transient Stability Through ANN]]>541685692610<![CDATA[Real-Time Precise Position Tracking With Stepper Motor Using Frequency Modulation Based Microstepping]]>5416937011738<![CDATA[WPD for Detecting Disturbances in Presence of Noise in Smart Grid for PQ Monitoring]]>5417027111848<![CDATA[Online Estimation of Steady-State Load Models Considering Data Anomalies]]>Z (constant impedance), I (constant current), and P (constant power) components of the load. Developed estimation algorithms for the ZIP parameter estimation are validated using the IEEE 14-bus system and data provided by the industry collaborators. Simulation results demonstrate the accurate estimation of the ZIP load model using the developed method. Also, various techniques to eliminate anomalies in the input data for accurate estimation of the load parameters have been presented in this paper.]]>541712721684<![CDATA[A High Step-Down Dual Output Nonisolated DC/DC Converter With Decoupled Control]]>LC components and three active semiconductor devices switched in a nonoverlapping way. Due to the duty cycle limitation, high gain (typically more than 4) is very difficult to achieve in a single-stage regular buck–boost dc/dc converter. In the proposed converter, the overall gains at both the output ports are nonlinear functions of duty-cycles of the power devices, which help achieve an overall step-down/step-up gain of 10–15. An experimental prototype converting 48 V dc to ±5 V dc at 100 W with closed loop control is developed in order to verify the operation and effectiveness of the proposed converter structure. An output voltage ripple of ±1% and a conversion efficiency of 94% are achieved according to the experimental results.]]>541722731844<![CDATA[Demodulation Approach for Slowly Sampled Sensorless Field-Oriented Control Systems Enabling Multiple-Frequency Injections]]>5417327441444<![CDATA[Design and Implementation of Fourth Arm for Elimination of Bearing Current in NPC-MLI-Fed Induction Motor Drive]]>5417457541308<![CDATA[Robust Features of SOSMC Guides in Quality Characterization of Tank Circuit in Air-Cooled Induction Cap Sealing]]>5417557631527<![CDATA[Adaptive Nonlinear Disturbance Observer Using a Double-Loop Self-Organizing Recurrent Wavelet Neural Network for a Two-Axis Motion Control System]]> ${{mathcal H}_infty }$ controller. First, an FLC is designed to stabilize the XY table system. Then, a nonlinear disturbance observer (NDO) is designed to estimate the nonlinear lumped parameter uncertainties that include the external disturbances, cross-coupled interference, and frictional force. However, the XY table performance is degraded by the NDO error due to parameter uncertainties. To improve the robustness, the ANDO is designed to attain this purpose. In addition, the robust controller is designed to recover the approximation error of the DLSORWNN, while the ${{mathcal H}_infty }$ controller is specified such that the quadratic cost function is minimized and the worst-case effect of the NDO error must be attenuated below a desired attenuation level. The online adaptive control laws are derived using the Lyapunov stability analysis and ${{mathcal H}_infty }$ control theory, so that the stability of the ANDO can be guaranteed. The experimental results show the improvements in disturbance suppression and parameter uncertainties, which illustrate the superiority of the ANDO control scheme.]]>5417647862639<![CDATA[A Two-Stage Quasi-Resonant Dual-Buck LED Driver With Digital Control Method]]>5417877951476<![CDATA[Enhanced Hydrated Lime—A Simple Solution for Acid Gas Compliance]]>5417968071574<![CDATA[Changing the Electrical Safety Culture]]>541808814731<![CDATA[A Graphical Approach to Incident Energy Analysis]]>5418158211381<![CDATA[Modeling, Simulation, and Testing of Switching Surge Transients in Rapid Transit Vehicles DC Power Systems]]>5418228312200<![CDATA[Piecewise Variable Parameter Loss Model of Laminated Steel and Its Application in Fine Analysis of Iron Loss of Inverter-Fed Induction Motors]]>5418328401236<![CDATA[Employing DC Transmission in Long Distance AC Motor Drives: Analysis of the Copper Economy and Power Losses Reduction in Mining Facilities]]>541841847536<![CDATA[Common-Mode Overvoltage Mitigation in a Medium-Voltage Pump Motor Transformerless Drive in a Mining Plant]]>5418488572273<![CDATA[A Method to Evaluate Cycloconverters Commutation Robustness Under Voltage and Frequency Variations in Mining Distribution Systems]]>5418588651319<![CDATA[Experience With Online Partial-Discharge Measurement in High-Voltage Inverter-Fed Motors]]>541866872648<![CDATA[Preparing to Witness a Multimegawatt Motor and Adjustable Speed Drive Acceptance Test–The Basics]]>541873882723<![CDATA[Explosion Protection of a Motor Integrated With a Compressor Using a Purging and Pressurization Technique With a Flammable Gas Above the UFL]]>[1]] permits motors to be submerged in a flammable gas or vapor that is at a pressure greater than atmospheric pressure, and that is flammable only when mixed with air as the explosion protection means. Purging and pressurizing of electrical equipment with air or inert gas to the requirements of NFPA 496 [2] is widely known, but those requirements do not apply to a motor designed to be immersed in a flammable fluid. Specific requirements were developed for a high-speed induction motor–compressor supplied by a variable frequency power supply. This motor is directly connected to a natural gas or hydrocarbon mixture compressor, and the system is purged and pressurized with flammable gas that is maintained above the UFL and pressurized above atmospheric pressure. Though the NEC [1] has permitted this protection concept for many years, a set of construction and testing requirements needed to be developed and published for certification purposes. These types of motors have been operating safely in Europe and in North America for many years with a similar concept for the protection technique. This paper will discuss using the flammable gas above the UFL protection technique, and the development of the construction and testing requirements for it.]]>541883888470<![CDATA[ARC Flash KPI Compliance at a Large Oil and Gas Company]]>541889894564<![CDATA[Conversion of 230 kV Switchyard to Gas-Insulated Substation in a Gas Plant]]>5418959041155<![CDATA[Effect of Motor Voltage Unbalance on Motor Vibration: Test and Evaluation]]>541905911601<![CDATA[MV Generator Ground Fault Arcing Power Damage Assessment]]>Fig. 1 . When a ground fault occurs at the generator stator, ground currents from its own neutral circuit and external power sources will flow into the fault and cause damages to the stator winding. The IEEE Generator Grounding Working Group issued a guideline for generator grounding practices, which recommends using a hybrid grounding system to minimize the ground fault damage induced by its own neutral grounding source. This paper will evaluate the total ground fault damages based on the arcing power energy to derive a maximum MV system ground current that would limit the ground damage to 1800 kW-cycle or 30 kJ as the minimum arcing power energy damage as suggested by Conrad and Dalasta [10].]]>541912915525<![CDATA[Operation and Starting of PAM Motors Using Vacuum Contactors]]>5419169221702<![CDATA[Optimization of MV Distribution System Designs]]>5419239331117<![CDATA[Type B Ground-Fault Protection on Adjustable Frequency Drives]]>541934939764<![CDATA[Introducing IEEE Collabratec]]>5419409401912<![CDATA[IEEE Transactions on Industry Applications]]>541C3C346<![CDATA[Information for Authors]]>541C4C4199