Unbalance or asymmetry in the distribution network is a well-known power quality issue. In the modern active distribution system, with the increasing penetration of renewables, this phenomenon becomes more pronounced. In the context of microgrids (MGs), several works have been proposed for the management and mitigation of the unbalance, for both the sharing of unbalanced load and maintaining the voltage

With the increasing demand for volume reduction and efficiency improvement, very high frequency (VHF) power converters (30–300 MHz) have attracted great interest. Under such high operating frequency conditions, the value and volume of passive components can be greatly reduced, and the power density can be improved. However, many concerns and challenges accompany the increasing operating frequency,

It is challenging to power a large number of gate drivers of the series-connected insulated gate bipolar transistors (IGBTs) in a high-voltage application because multiple isolated power supplies are needed. In this study, a novel wireless power transfer (WPT) system using repeater coils is designed to solve this problem. Every two repeater coils form a repeater unit, which transfers power to one load

This paper proposes a long-distance multi-load wireless power transfer (WPT) system with a constant voltage (CV) output for each load. A repeater unit consisting of two bipolar repeater coils is designed to power the load. Multiple repeater units are placed in a line and the power can be transferred from one unit to the next. Each repeater unit corresponds to one load and multiple loads can be powered

LLC resonant converter has been widely used in many applications due to its characteristics of high efficiency and high frequency characteristics. Analysis method plays great role in converter design and operation performance. For LLC resonant converter, the most frequently used analysis methods are frequency-domain analysis (FDA) and time-domain analysis (TDA). FDA assumes that only fundamental harmonics

A secondary phase-shifted dual-bridge converter with semi-active rectifier is able to perform buck–boost dc–dc conversion with soft-switching. However, it can not maintain zero-voltage switching (ZVS) operation for all switches in a wide load range. Besides, the root mean square/peak tank current increases inversely with the decreasing of load in the light load region. To alleviate these problems and

Errors in the injected high-frequency circulating currents are originally investigated for modular multilevel converters (MMCs) in low-speed drive operation. The mathematical analysis reveals that the magnitude and phase errors in the injected circulating currents cause serious energy imbalance in the MMC arms, resulting in large voltage fluctuations in the submodules. Furthermore, these fluctuations

A major concern of the power quality in distributed systems is related to the mitigation of voltage imbalances. This function can be implemented directly in the control system of the distributed generation power converters working simultaneously with the standard operation modes. This study presents a negative-sequence voltage elimination technique for distributed generators in grid-feeding operation

In renewable energy generation systems, the DC–DC converter with high voltage gain is indispensable, which is used to convert the low output voltage of photovoltaic (PV) cells and fuel cells to the high DC bus voltage. In this study, a cost-effective clamping capacitor boost (CCB) converter with high voltage gain is proposed. In the basis of the conventional boost converter, a clamping capacitor cell

This study reports a miniaturised discontinuous conduction mode (DCM) variable on-time (VOT) buck converter providing an output of 1.8 V in the input range of 3–12 V to support applications with large wireless coupling. Conventionally, an additional large capacitor has been used as a bootstrap capacitor to drive the high-side switch of buck converters, which prevents minimisation. In this study, a

Electric vehicle (EV) battery chargers operate from moderate switching frequency (MSF) to high switching frequency (HSF) to achieve high power density. To operate the HSF power electronic devices, the selection of gate drivers and its associated components is crucial. Laboratory developed gate driver circuits (GDCs) often fail to drive these HSF devices adequately due to noise vulnerability, PWM duty

Switched capacitor multilevel inverter (SCMLI) with reduced components is attractive for higher number of voltage levels due to less implementation complexity and low cost. In this study, a new family of hybrid SCMLI for high frequency power distribution system is presented to eliminate the intermediate power conversion. Firstly, a five-level SCMLI employing a single voltage source is proposed, which

Wireless power transfer (WPT) offers the advantages of convenience, safety, low-maintenance, high reliability, and strong adaptability to the environment. This study proposes a design method to help LCC/S compensation topology achieve zero voltage switching (ZVS), which helps improve the efficiency of the system. The optimisation design of the magnetic coupling structure is conducted first via the

Accurate knowledge of induction machine parameters has a direct impact on the overall performance of field-oriented control strategies. In the case of rotor flux oriented control, parameter mismatch causes a discrepancy in the estimated rotor flux position and amplitude. Magnetising inductance is one of the parameters whose detuning has a direct impact on the setpoints of the control loops and estimation

In this study, a modified DC–DC converter is proposed, which can achieve a high voltage-gain exploiting both quasi-Z-source and switched-capacitor networks. In addition to the high voltage-gain, the proposed converter has low voltage stresses on its elements. The steady-state analysis in both continuous and discontinuous conduction modes is given in this study. Moreover, the design of the passive elements

This paper presents the design and analysis of a three-level hybrid boost converter based on a single-phase three-level T-type inverter. The proposed converter can provide high energy conversion efficiency and high voltage gain capability with reduced component count. The pulse-width-modulation signals of the proposed converter are generated by comparing two duty cycles and two triangular carrier signals

The light rail vehicles (commonly known as tramways or lightly laid railways) offer environmental advantages and have evoked an impressive attraction. The hybrid energy-storage systems efficiently supply energy for the light rail vehicles during the travel. This study implements and analyses an ultracapacitor charger in hybrid energy-storage system for electric-vehicle applications. Moreover, an ultracapacitor

Several heuristic procedures to estimate the rotor position of interior permanent magnet synchronous motors (IPMSM) via signal injection have been reported in the application literature, and are widely used in practice. These methods, based on the use of linear time-invariant (LTI) high-pass/low-pass filtering, are instrumental for the development of sensorless controllers. To the best of authors’

This study proposes a sensorless flux adaption direct torque and flux control (DTFC) for an interior permanent magnet synchronous motor (IPMSM), in which an maximum torque per ampere (MTPA) based on active flux and an adaptive second-order sliding mode observer (SOSMO) are adopted. Flux adaption DTFC is proposed based on the existing active flux concept. Thus, the stator current amplitude can be minimised

The work presents a modified switching strategy in a five-level torque controller while implementing a direct torque control scheme for the induction motor (IM) drive. Apart from the presence of conventional full-voltage vectors, the inclusion of intermediate- and zero-voltage vectors brings in the modification above in a five-level torque controller. Moreover, the estimation of flux in the scheme

In single-phase power and energy applications, sliding discrete Fourier transform (SDFT) filter based quadrature signal generation is a well-known tool for designing advanced phase-locked loops (PLLs), particularly for applications where high disturbance rejection ability is demanded. The SDFT-based PLL, nevertheless, has a limited ability in achieving fast response (a response time more than one cycle

This study proposes single-phase improved coupled-inductor (CL) Z-source (ZS) ac–ac converters with integrated high-frequency transformer (HFT) isolation. They can provide wide range of buck–boost voltage with same/reversed phase angle, similar to the existing ZS ac–ac converters. Meanwhile, integrating a HFT with CL in proposed converters benefit in two-fold: (i) the CL enhances the voltage gain,

In high-performance field-oriented control of permanent magnet synchronous machines (PMSMs), an accurate rotor position is indispensable for the key roles in coordinate transformations. However, due to the rotor position offset error and the time delay in digital control systems, it is still challenging to obtain exact rotor position information. In this study, the influence of rotor position error

In this study, an active neutral point clamped-type boosting switched-capacitor multilevel inverter (SCMLI) with self-voltage balancing capability is proposed. In the proposed topology, a novel switched capacitor cell is used, which has eight switches and two diodes. The presented topology has reduced power component count with self-boosting and balancing abilities. The distinctive features of the

A laboratory setup is developed to experimentally reinforce the student’s understanding of multilevel neutral point clamped inverter operated with various multicarrier and modulation reference signals. Sixteen combinations of carrier and reference signals out of many more possible are studied in this setup. The lab module is project-based and is designed to perform experiments for the ‘advanced power

Nowadays, deep learning technique becomes the most popular fast-growing machine learning method in an Artificial Neural Network. The Convolution Neural Network (CNN) is one of the deep learning architecture that has been applied in the field of image analysis and image classification. In this paper, we proposed a novel emotion learning model with a deep learning network. The aim of the learning model

At the request of the author(s), the following article has been retracted.

This letter presents a design of very compact asymmetric dual L ‐strip fed split‐ring shaped electromagnetic bandgap (EBG)‐based textile antenna for wireless body area networks (WBAN) applications, operating at frequency 2.45 GHz. The antenna radiator is composed of 2 × 1 array of EBG cells printed on same side of the substrate with partial ground plane to form a compact EBG surface, excited with a

The emergence of cognitive computing and big data analytics revolutionize the healthcare domain, more specifically in detecting cancer. Lung cancer is one of the major reasons for death worldwide. The pulmonary nodules in the lung can be cancerous after development. Early detection of the pulmonary nodules can lead to early treatment and a significant reduction of death. In this paper, we proposed

Reconfiguration of the distribution network (DN) is the changing of status of normally open and close switches for a specific purpose. In this paper, a situation is studied in which a fluctuating load (such as a welder) violates the network power quality (PQ) standards. Therefore, in order to mitigate the emission of the generated flicker, an optimization problem is developed for improving the PQ of

In recent years, stochastic programming has gained increasing attention as a tool to support the scheduling of generating units in the face of uncertain information. One approach that has a long‐standing history in stochastic programming is the Benders decomposition (BD). However, BD is known to suffer from a series of shortcomings, for example, oscillation and tailing‐off effect. To reduce these drawbacks

Accurate identification of Hepatitis B virus (HBV) disease by analyzing the Raman spectroscopic images is a challenge for pathologists. To save precious human lives, an efficient technique is required with higher diagnostic accuracy at early‐stage of HBV. We proposed a novel method of HBV diagnosis using deep neural networks with the concept of transfer learning and Raman spectroscopic images. The

This paper proposes a new and practical probabilistic method for calculating reliability indices and costs associated with distribution substations that share spare transformers of a same group. Based on Monte Carlo simulation, the proposed algorithm considers the chronological representation of failure occurrences, and enhances previous methods by modeling emergency actions, such as transferring load

This paper proposes a new method to estimate parameters of a synchronous generator using measurements taken under unbalanced operating conditions. The new method is based on a combination of the application of the Unscented Kalman Filter (UKF) and Trajectory Sensitivity techniques. The method adopts a three-phase model for the synchronous generator that is typically available in EMT-based commercial

Overcurrent (OC) protective relays use different methods to calculate the RMS value of the current signal, based on the CT data. One common technique uses the peak-to-peak value, which is called the Apparent RMS Value in this paper. But using this value, when there are noticeable harmonics in feeders current, may lead to OC relay malfunction. The ratio of maximum possible Apparent RMS value to True

This paper proposes a two-stage framework to solve the long-term transmission network expansion planning (TNEP) problem ensuring user-defined reliability levels and wind curtailment over the planning horizon. In the first stage, the static TNEP (S-TNEP) problem is solved to define where a set of new lines must be installed at the end of planning horizon. In the second stage, a multistage procedure

In this paper, the Sub-synchronous Resonance Constrained Optimal Power Flow (SSRCOPF) problem is articulated, for stable and economic operation of series compensated power system. Further, Reconciled Pack Dominance based Grey Wolf Optimisation (RPD-GWO) is proposed to solve SSRCOPF problem. Due to the colossal increase in demand, transmission lines are stressed by overloading. To alleviate this stress

In order to track a changing channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, it is a priority to estimate channel impulse response adaptively. In this paper, we propose an adaptive blind channel estimation method based on parallel factor analysis (PARAFAC). We used an exponential window to weigh the past observations; thus, the cost function

Mobile edge computing (MEC) enables to provide relatively rich computing resources in close proximity to mobile users, which enables resource-limited mobile devices to offload workloads to nearby edge servers, and thereby greatly reducing the processing delay of various mobile applications and the energy consumption of mobile devices. Despite its advantages, when a large number of mobile users simultaneously

A novel hybrid system enabling both flexible supercharging and limited torque assist is studied to mitigate transient response challenges of a turbocharged spark ignition engine equipped with low pressure exhaust gas recirculation. The hybrid system, called a power split supercharger (SC), is configured with a planetary gear set that splits the supercharging power between a small low-voltage electric

A zonal hybrid unsteady Reynolds-averaged Navier–Stokes/large eddy simulation (URANS-LES) Zonal detached-eddy simulation (ZDES) model is applied to internal combustion engine (ICE) simulation and comparisons of predicted flow morphology and variability are carried out against on the transparent combustion chamber (TCC-III) particle image velocimetry (PIV) data set for motored conditions. To this aim

One of the major limitations of reactivity controlled compression ignition is higher unburned hydrocarbon and carbon monoxide emissions and lower thermal efficiency at part load operating conditions. In the present study, a combined numerical approach using a commercial three-dimensional computational fluid dynamics code CONVERGE along with artificial neural network and genetic algorithm is presented

A reduced kinetic model for the combustion of n-heptane, i-octane, n-cetane and heptamethylnonane was developed based on a prior model designed for use with a primary reference fuel consisting of n-heptane and i-octane. The present model, which can be easily employed in conjunction with a conventional computational fluid dynamics code, contains 59 chemical species and 96 reactions. Predicted ignition

In-cylinder pressure oscillations in internal combustion engines have been associated with increased heat losses and damages to the engine components. The links between the acoustic waves and the increased heat transfer (and potentially ensuing engine damages) have not yet been well understood. In this study, a high-fidelity large eddy simulation model incorporating an auto-ignition model is used to

Poppet-valve two-stroke gasoline engines can increase specific power of four-stroke gasoline engines with the same displacement. But knocking combustion may also occur at high loads in two-stroke engines. The application of stratified lean-burn on poppet-valve two-stroke gasoline engines can avoid knocking and increase combustion stability. To investigate the effect of the mixture stratification on

This work presents an optimized ammonia injection strategy for the Worldwide Harmonized Light Vehicles Test Cycle and its potential benefits in terms of NOx emissions and ammonia consumption in selective catalytic reduction. An optimization tool based on optimal control was used to improve the ammonia injection in the selective catalytic reduction with different NOx emission limits. This optimal control

The flux switching permanent magnet (FSPM) motor is relatively a new topology of the permanent magnet (PM) motors, which both PM and armature winding are placed at the stator. This feature leads to more robust design, better heat dissipation, and a proper option for a wide range of industrial applications. The critical part of the development of FSPM motor is the design optimization of the structure

The short‐term electric load forecasting (STLF) is of great significance for the secure and economic operation of power systems. Due to the integration of distributed generation and spreading of demand response programs, uncertainty of electric load has been greatly aggravated. Consequently, maintaining the accuracy of STLF has become a challenging task. Moreover, for traditional STLF studies, the

Nowadays, electric vehicles are one of the promising solutions to energy and environmental crisis. However, the anticipated high‐efficiency performance and the extended torque‐speed profile dictate the use of Interior Permanent Magnet (IPM) machine drives that involve complex control algorithms.

The extensive embedding of electronic components in modern applications enhances the scale of miniaturization and smart automation in AC power driven electrical and electronic devices. Most of the applications in smart home and industries constitute nonlinear load components at large level. Moreover, the nonlinearity of such components causes severe harmonic distortion, performance deviation and the

This article aims to determine a proper voltage rating known as the withstand capability of HV equipment in a 115 kV air insulated substation in Thailand because some of the HV equipment were severely damaged by high switching transient overvoltages. Then, this case was investigated by using a simulation model in the ATP/EMTP. Actual data acquired from all the equipment or derived from physical dimension

Given their highly stochastic features, the hasten increase of renewable energy sources contribution in the global energy balance issues a strong impact on power systems operating conditions. In order to overcome drawbacks related to supply reliability and systems stability, real-time power management strategies able to achieve optimal targets in uncertain frameworks are currently of great interest

In the present study, simultaneous electrochemical behavior of tenofovir disoproxil fumarate (TDF) and lamivudine (LAM) on a glassy carbon electrode (GCE) modified with a novel nanocomposite, nickel-cobalt sulfide-decorated graphene quantum dots (Ni-CoS/GQDs) was investigated. Characterization of different components used for modifications was achieved using UV-Vis and transmission electron microscopy

In view of the characteristics of the small amplitude of a current signal, an all-optical fibre small-current sensor for partial discharge is devised. A novel type of sensor head with electric winding light is proposed. A complete optical model of the optical fibre current sensor is developed under the effect of polarization error factors. In addition, the effect of polarization error factors on the

Information about background appearance and previous tracked frames is significant for effectively discriminating a target from a complex scene. In this paper, we propose a novel tracker called temporal regularization and background-aware correlation filter (TRBACF) tracker based on the theory of correlation filter. In the proposed TRBACF tracker, an improved circular shift operation for collecting

The significance of renewable energy resources provide a great opportunity to meet a single household electricity demand in Northern Cyprus. Purposefully, a 6 kW PV-Wind hybrid system seems to offer significant economic savings relative to the conventional grid system. Therefore, the main intention is to shed light on the technical as well as economic feasibility of combining renewable sources. The

Microgrids based on renewable energy require energy storage systems to mitigate the power imbalances that arise due to variable and intermittent nature of renewable sources. Battery energy storage system (BESS) has been widely used to provide the necessary support. However, higher cost and limited life depending on number of charging and discharging cycles, restricts its application. The calendar life

Bus-based Vehicular Ad-hoc Network (VANET) is an excellent solution to cope with the highly dynamic and inconsistent structure of conventional vehicular network. In this paper, an algorithm for Internet of Energy in the context of Bus-based VANET is proposed, i.e., street-centric routing scheme (SCRS) to address the problem of optimal-route and relay-bus selection. Firstly, we propose a multipath routing