Electric vehicles (EVs) can be charged wirelessly using inductive charging technology. This process has a number of advantages in terms of automation, safety in harsh environments, reliability in the event of natural disasters and adaptability. On the other hand, the inductive charger has many issues, including a complex design, sensitivity to misalignment, safety concerns, and a high cost. The transmitting and receiving coils are the primary causes of the cited problems. This paper presents an in-depth study of an electric vehicle charging system based on the magnetic coupling between two coils by introducing different materials to concentrate the magnetic flux and hence improving the overall efficiency of the charging system and its design. Three situations of the magnetic coupling between two identical rectangular coils as a function of both the horizontal (X axis) and vertical (Z axis) alignment are examined. In the first case, the analysis of the magnetic coupling between two copper coils separated by an air gap is presented. The results show that the magnitude of the fields decreases according to the distance between the transmitter and the receiver coils and the obtained coupling coefficient was very low with a high leakage flux which affected the performance of the charging system. In the second case, a straightforward shielding method that involves inserting a magnetic material of the ferrite type is proposed to overcome these problems. The use of ferrite magnetic shielding contributes to channeling the field lines as well as reducing leakage flux which makes the transmitted power higher. This perspective shows that simple shielding is still only a partial and insufficient solution. In the third situation, an aluminum sheet was consequently placed on the top of the ferrite to provide an adequate shielding structure. A 3D analysis of the self and mutual induction parameters separating the two coils as well as a magnetic field is also performed using the Ansys Maxwell software. The results highlight the significance of the enhanced proposed design.

This paper proposes a new multifunctional control technique for a grid-connected hybrid distributed generation system composed of a photovoltaic system and a wind power system based on a voltage source converter (VSC). Indeed, aside from the generation and the injection of energy into the grid, the proposed system deals with power quality issues caused by harmonics generated by non-linear loads in order to keep the source current uncontaminated. The VSC serves to first ensure that the power generated from the hybrid renewable energy source is fed to the utility grid and acts as a shunt active power filter in case an abnormal increase in the THD of the source current above the standard permissible values is detected due to the non-linear load connection. The two sources of the hybrid system are connected to a common DC bus to simplify the control and reduce the cost of the system, and a maximum power point tracking controller is used for both sources. The major advantage of this novel proposed multifunctional control technique is its ability to inject harvested power into the grid while simultaneously ensuring the compensation of the harmonics and reactive power. The proposed multifunctional control technique is validated through an extensive simulation analysis using MATLAB/Simulink.

Open-end winding five-phase induction motor (OeW-5PIM) configuration is used in industrial applications, where minimization in the total harmonic currents and high reliability are needed. The majority of the literature on OeW-5PIM topology discusses field-oriented control and direct torque control in addition to other robust control techniques such as the backstepping approach. This paper focuses on the mathematical and experimental approaches of backstepping control (BSC) and rotor-flux-oriented control (RFOC) for an OeW-5PIM topology. The space vector pulse width modulation (SVPWM) strategy is associated with the suggested control techniques to improve the dynamic performance (i.e., reducing ripple, fixed switching frequency, etc.) of the studied motor. Furthermore, the RFOC-SVPWM and BSC-SVPWM are comprehensively compared using experimental implementation under various situations such as load torque, open-phase fault, and high/low-speed operation.

The paper suggests a 9-level inverter with quadruple boosting which it considers very useful for small-scale PV systems. The suggested circuit uses capacitors that are a self-balanced voltage without using an additional circuit or complicated control algorithms to balance the voltage of the capacitors. The circuit produces 9 levels with quadruple boost gain at the output terminals by using minimum components as compared with other recent topologies. The circuit analysis and modeling for each output level are described. The switching control strategy uses a simplistic logic control circuit relying on Pulse Width Modulation (PWM) is implemented to ensure balance voltage of capacitors. By the help of MATLAB/SIMULINK, the effectiveness and robustness of architecture are validated. Furthermore, a prototype for this topology is set up and tested in the laboratory using a DSPACE-1104 verifying the theoretical analysis. The experimental setup and hardware implementation are described. The theoretical and experimental results are investigated under various conditions illustrating excellent agreement between the theoretical and experimental endorses the targeted circuit.

Partially impaired antenna array is one of the challenges for estimating the accurate directions of the signals impinging upon antenna arrays. It causes random loss of the signal information, resulting in the poor direction of arrival (DOA) estimation performance. In this paper, we propose an efficient DOA estimation method under partially impaired antenna array elements, which work randomly. We first devise a strategy to detect the positions of randomly lost signal information corresponding to partially impaired antenna array elements and then formulate the problem of received signal recovery as low rank matrix completion. Afterwards, we utilize the recursive least squares (RLS) with the nulling antenna array for DOA estimation due to its fast convergence and low mean square error properties and place the nulls in the directions of received signals by adjusting the weight vectors adaptively. The reciprocal of the …

Internet of Things (IoT) has been widely used in recent years to solve a specific problem or perform an advanced function. In this paper, the IoT is used to build a distributed large-scale smart irrigation system that also aims to improve the load profile and the power quality of the system. Smart irrigation panels with built-in fuzzy logic control and integrated sensors have been designed and placed in a distributed manner along the system to provide the needed information about Persian conditions. The temperature, humidity, and soil resistivity sensors are used to provide the primary information for the irrigation and combined with current and voltage sensors for load demand and power quality purposes. The proposed IoT system is used for 47 bus power system. The first 31 buses are residential load bus with rating values of 50KVA. The other remaining 16 buses are used for agriculture purposes where a 30 hp water pump is connected in each bus area to supply water to the Persians. The test system is studied for different operation scenarios to allows study of the load demand, steady-state under-voltage, and sag transients. The proposed IoT system is compared with conventional under-voltage and sag solutions techniques. It shows a higher ability to manipulate the load profile and prevent under-voltage and sag existence when the conventional method fails for different irrigation operation conditions.

The PV panels' orientation significantly affects
their ability to produce electricity. The PV panels are typically
oriented in Egypt with an azimuth angle of zero degrees, directly
facing south, and a tilt angle corresponding to the latitude of the
installation location. In this research, the optimal orientation
and placement of PV panels, which are used for electric vehicle
(EV) charging station at Assiut university is studied. A
mathematical model is used to obtain the best tilt and azimuth
angles for the PV panels. Moreover, the optimal spacing
between the PV panels rows which is achieving minimal effect
of shading is determined based on the maximum harvested
energy and number of panels. The outcomes reveal that the
optimal value for the tilt and the azimuth angles are 22° and 27°,
respectively. At these optimal tilt and azimuth angles, the annual
harvested energy increases by 2.5% when compared with the
typical orientation of PV panels in Egypt. Furthermore, the total
output energy is enhanced by 24.9% at the optimal horizontal
spacing between the panels.

Power quality remains one of the most important
aspects of the operation of electrical distribution systems. Starting
of induction motors causes a voltage sag which negatively affects
the power quality. In the present research, the effect of
simultaneous energization of water pumping motors on the
operation of Karot distribution line is studied. Transient analysis
of induction motors during their acceleration period is pursued
using ETAP package. The obtained results indicate that the line
experience a 20% voltage sag for 7 seconds on simultaneous
energization of 16 motors from the line with a subsequent power
outage. Management of motors’ operation to avoid their
simultaneous acceleration is aimed at improving the power quality
of the line. Cascaded operation of the motors results in eliminating
the voltage sag problem where the line voltage never drops below
0.95 pu due to motors’ acceleration.