Recent Advances in Electrical & Electronic Engineering - Volume 13, Issue 7, 2020

An extensive use of fossil fuel has led to an extreme increment of carbon footprint in the world globally. Glaciers are melting on the earth’s poles due to the greenhouse effect. Many such natural indications urge us to adopt renewable energy sources. In most cases, renewable power is generated in electrical form, which does not suit the existing grid requirements. Cascaded H bridge with multilevel inverter topology is p Read More

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes th Read More

Background: Short Term Load Forecasting (STLF) can predict load from several minutes to week plays a vital role to address challenges such as optimal generation, economic scheduling, dispatching and contingency analysis. Methods: This paper uses Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) technique to perform STFL but long training time and convergence issues caused by bias, variance and less gene Read More

Background: The Internet of Thing is a network that enables multiple hardware devices, sensors and other home applications from electronically communicate with each other. New era such technology is increasing importance mainly due to the revolutionary development of information technologies. Methods: However, energy efficiency is still a big challenge facing IoT technology. Thus, it becomes an interesting topic for Read More

Background: In the existing inverse system decoupling methods of bearingless induction motor, the inverse system model is more complex, and it is not easy to realize the independent control of the magnetic suspension system. In this paper, in order to simplify its inverse system model, an independent inverse system decoupling control strategy is proposed. Methods: Under the conditions of considering the current dynamic Read More

Background: This paper presents voltage and current quality improvement in high/medium electrical distribution system using modulated multilevel unified power quality conditioner (MM-UPQC). Nowadays, power quality is one of the major issues due to the increase in usage of more non-linear loads in agricultural, commercial, industrial sectors. The industrial loads produce large amount of harmonics and power imbalances, whi Read More

Background: Multi-Input Multi-Output (MIMO) systems using Orthogonal Space-Time Block Coding (OSTBC) gained extensive popularity in wireless applications owing to the potential of providing improved reliability. Methods: The performance of MIMO - OSTBC systems using error-correcting code (Convolutional, Reed Solomon and Interleaving) schemes used to encode data streams in wireless communications using the Rayle Read More

Background: The scope of this paper is to study the energy trading in microgrids. Microgrids are low voltage or medium voltage distribution networks, which consist of energy storage systems, electric loads, e.g. electric vehicles and Renewable Energy Sources (RES). Methods: Legacy energy grids are being transformed by the introduction of small to medium sized individual or cooperative, mostly RES invested energy Read More

Background: Low power factor is regarded as one of the most dedicated issues in large scale inductive power networks, because of the lost energy in term of a reactive power. Accordingly, installing capacitors in the network improves the power factor and hence decreases the reactive power. Methods: This paper presents an approach to maximize the saving in terms of financial costs, energy resources, environmental protecti Read More

Background: With the tremendous changes in the world’s fuel structure, the Electric Vehicle (EV) has become a powerful means of mitigating energy and environmental issues. Objective: However, when an electric vehicle is connected to home, it will cause load fluctuation, which threatens the safe and smooth operation of the user's electricity. Methods: Therefore, in order to solve the problem of power instability when the e Read More

Background: In order to better establish accurate load models and meet the practical demand of current power system load modeling, it is necessary to establish related technical support systems for power system load modeling. Objective: The purpose of the paper was to construct the overall scheme of power system load modeling technology support system and complete the development of the system. Methods: Bas Read More

Background: Although correlation filtering is one of the most successful visual tracking frameworks, it is prone to drift caused by several factors such as occlusion, deformation and rotation. Objective: In order to improve the performance of correlation filter-based trackers, this paper proposes a visual tracking method via online reliability evaluation and feature selection. Methods: The main contribution of this paper is Read More

Background: The penetration level of a wind farm with transient stability constraint and static security constraint has been a key problem in wind power applications. Objective: The study explores maximum penetration level problem of wind considering transient stability constraint and uncertainty of wind power out, based on credibility theory and corrected energy function method. Methods: According to the corrected Read More

Background: The high permeability of Distributed Generation (DG) and the development of DC load represented by electric vehicle Battery Swapping Station (BSS) pose new challenges to the reliable and economic operation of DC distribution system. Methods: In order to improve the wind and solar absorption rate and the reliable operation of DC distribution network and coordinate the interests and demands of BSS a Read More

Background: Loop closure detection is a crucial part in robot navigation and simultaneous location and mapping (SLAM). Appearance-based loop closure detection still faces many challenges, such as illumination changes, perceptual aliasing and increasing computational complexity. Methods: In this paper, we proposed a visual loop closure detection algorithm that combines illumination robust descriptor DIRD and odometry inf Read More