A New Optimization Approach for a Solar Tracker Based on an Inertial Measurement Unit

In next-generation mobile networks, hundreds of diverse devices aim to be interconnected, posing huge challenges in capacity, coverage, efficiency, reliability, and connectivity. These and other challenges are addressed at Radio Frequency (RF) parts such as several radiating unit antennas, with very fine beamforming capabilities along with the requirements of high gains and minimized size. This work presents an 8×8 Aperture Coupled Microstrip Patch Antenna (AC-MPA) in the form of a planar array modeled for the 28GHz frequency band with high gain and compact size, making it suitable for 5G networks. The antenna is designed using a substrate with overall dimensions of 74.6×85.648×0.107mm3 and relative permittivity of ε0 = 4.3.

Section: Single Element Antennamentioning

confidence: 67%

Low Cost High Gain 8×8 Planar Array Antenna for 5G Applications at 28GHz

Alshortan

Alogla

Eleiwa

et al. 2021

“…Several algorithms have been proposed to solve LO problems. Some fundamental classes of interior point methods are the affine method, the projective method with the potential reduction of Karmarkar and its alternatives [5,9], central trajectory methods, and penalty/barrier methods [6,13]. Our work is based on the latter type of interior point methods for solving LO problems.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Numerical Study between Minorant Functions and Line Search Methods in Penalty Methods for Linear Optimization

Leulmi

2023

Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network

Zdiri

Dhouib

Alaas

et al. 2023

The distribution system acts as a conduit between the consumer and the bulk power grid. Due to characteristics such as a high resistance/reactance ratio, distribution networks cannot be solved using conventional methods, such as the Gauss-Seidel and Newton–Raphson. This research proposes a method for the calculation of the power flow in radial networks that considers their wide range of resistance and reactance values, PV generator characteristics, and radial structure. An iterative methodology is employed, with each iteration beginning with the branch that has the highest accurate power flow solution. The procedure is reliable and effective over various workloads and network configurations. To confirm the effectiveness of the suggested technique on the simple and IEEE 33-bus radial distribution system, simulations were carried out in MATLAB. The implications of including a renewable energy source, such as a PV generator, in the network under consideration are investigated by simulation result comparison. The optimal location of the PV generator was also determined using an Artificial Neural Network (ANN) controller. The results of the identification process improve the already exceptional efficacy and performance of the ANN controller.