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Alireza Sedighi
Researcher at Yazd University
Publications - 25
Citations - 654
Alireza Sedighi is an academic researcher from Yazd University. The author has contributed to research in topics: Emtp & Wavelet transform. The author has an hindex of 8, co-authored 25 publications receiving 516 citations. Previous affiliations of Alireza Sedighi include Tarbiat Modares University.
Papers
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High impedance fault detection based on wavelet transform and statistical pattern recognition
TL;DR: In this article, a novel method for high impedance fault (HIF) detection based on pattern recognition systems is presented, using this method, HIFs can be discriminated from insulator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching.
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Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration
TL;DR: In this article, the optimal placement, sizing, and daily (24h) charge/discharge of battery energy storage system are performed based on a cost function that includes energy arbitrage, environmental emission, energy losses, transmission access fee, as well as capital and maintenance costs.
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Development of a fuzzy inference system based on genetic algorithm for high-impedance fault detection
TL;DR: In this paper, a novel method for high-impedance fault (HIF) detection in distribution systems is presented, which can be discriminated from isolator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching.
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Soft computing applications in high impedance fault detection in distribution systems
TL;DR: In this paper, two methods, one based on GA and another based on neural networks (NN), are proposed for high impedance fault detection in distribution systems, which are used to discriminate HIFs from isolator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching.
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Detection of inrush current in distribution transformer using wavelet transform
TL;DR: In this article, an efficient method for detection of inrush current in distribution transformer based on wavelet transform is presented, which can be discriminated from the other switching transients such as: load switching, capacitor switching and single phase to ground fault.