Results 51 to 60 of about 256 (163)
Power quality disturbances (PQDs), including voltage sags, swells, harmonics, transients, flickers, and interruptions, affect the reliability and efficiency of modern power distribution systems. This study introduces a novel heuristic model that integrates a long short‐term memory (LSTM) deep neural network with the sea lion optimization (SLO ...
Anupama S. Kumar +2 more
wiley +1 more source
The development of microgrids has emerged as a strategic solution to address the challenges inherent in radial distribution networks (RDNs). By integrating a microgrid system on the low‐voltage side of the distribution feeders, it enhances the flexibility, reliability, and efficiency of power delivery to customers.
Demsew Mitiku Teferra +3 more
wiley +1 more source
The escalating demand for electricity underscores the critical need for stability in power systems. Distribution networks face formidable power quality challenges due to unregulated utilization of diverse loads, leading to voltage fluctuations, harmonics, and phase unbalance.
Vinamra Kumar Govil +8 more
wiley +1 more source
FPGA‐Based Realization of Intelligent Escalator Controller Using Artificial Neural Network
In this work, a proposed intelligent controller has been designed and implemented for a prototype of four stair‐step escalator. The required task of this controller is to manage the supplied power of driving motor of the escalator according to the applied load on the stair‐steps, which is represented by the number of persons standing on the stair‐steps.
Azzad Bader Saeed +3 more
wiley +1 more source
DOUBLE-SOURCE ALTERNATE BACKUP TYPE UNIFIED POWER QUALITY CONDITIONER
A double-source alternate backup type unified power quality conditioner (DS-UPQC) is proposed in this paper, which consists of two shunt inverters and two series inverters, the shunt inverters are connected alternately to the series inverters through the
Haibo LIU +3 more
doaj +2 more sources
Power Quality problems have received a great attention nowadays because of their bad economical impacts on both utilities and customers. This paper presents the influence of Unified Power Quality Conditioner (UPQC) on power quality issues. The UPQC is relatively a new number of the custom power device family. It is a custom power device with integrated
openaire +1 more source
Unlocking the potential: A review of artificial intelligence applications in wind energy
Abstract This paper presents a comprehensive review of the most recent papers and research trends in the fields of wind energy and artificial intelligence. Our study aims to guide future research by identifying the potential application and research areas of artificial intelligence and machine learning techniques in the wind energy sector and the ...
Safa Dörterler +2 more
wiley +1 more source
This paper presents a novel and easy‐to‐implement modulation strategy for modular multilevel converters that simplifies both hardware design and application. By setting up a flexible insertion and removal submodule and proposing a capacitor voltage balance algorithm based on duty ratio allocation, the proposed modulation method can allow for the ...
Zichen Wang +5 more
wiley +1 more source
The study addresses stability challenges during low‐voltage ride‐through events in weak AC grid‐connected doubly fed induction generator systems within wind power‐based microgrids. Grasshopper optimization algorithm (GOA), particle swarm optimization (PSO), and a novel hybrid GOA‐PSO are used to optimize a static synchronous compensator (STATCOM) for ...
Muhammad Zubair Yameen +5 more
wiley +1 more source
Power quality solutions for rail transport using AI-based unified power quality conditioners
This paper proposes an artificial intelligence-based Unified Power Quality Conditioner (AI-UPQC) and a unique Dynamic K-factor PI (DKPI) algorithm for PI-UPQC to address power quality issues in electrified railway systems.
D. K. Nishad +3 more
doaj +1 more source

