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Author

M Dilip Kumar

Bio: M Dilip Kumar is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Electric power system & Analytical Chemistry (journal). The author has an hindex of 1, co-authored 1 publications receiving 8 citations.

Papers
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Proceedings ArticleDOI
10 May 2014
TL;DR: A comprehensive review of the techniques employed in fault analysis which have evolved over the last decade is presented in this article, which mainly focuses on the implementation of discrete wavelet transform (WT), multi-resolution analysis (MRA) artificial neural networks (ANN) and fuzzy logic for fault analysis.
Abstract: Transmission lines faults are an inevitable part of any power system. They cause a disruption in the power supply, which is undesirable. With an ever-increasing demand for better performance and minimal interruptions, accurate fault analysis is necessary to restore a system to its normal operation by detecting and clearing the transmission line fault. This paper presents a comprehensive review of the techniques employed in fault analysis which have evolved over the last decade. This review paper mainly focuses on the implementation of discrete wavelet transform (WT), multi-resolution analysis (MRA) artificial neural networks (ANN) and fuzzy logic for fault analysis.

10 citations

Proceedings ArticleDOI
30 May 2022
TL;DR: In this paper , a three degree-of-freedom PID (3DOFPID) fine-tuned using a seagull optimization algorithm (SOA) is presented as a secondary regulator for a multi-area hybrid source (MAHS) interconnected power system.
Abstract: In this paper, a three degree-of-freedom PID (3DOFPID) fine-tuned using a seagull optimization algorithm (SOA) is presented as a secondary regulator for a multi-area hybrid source (MAHS) interconnected power system. Area-1 of MAHS is subjugated with a perturbation of 10% step load. Moreover, the superiority of the presented SOA tuned 3DOFPID controller is demonstrated with performances of other control techniques that have been reported in recent literature. To further enhance the dynamical behaviour of MAHS during perturbed conditions, energy storage devices (ESDs) such as redox flow batteries (RFBs) and superconducting magnetic energy storage (SMES) devices are placed in each area of the MAHS power system one after the other. Simulation results reveal the dominancy of SMES in handling the deviations in MAHS power system performance compared to RFBs.

3 citations

Journal ArticleDOI
TL;DR: In this paper , an active islanding detection with integrated PV system for grid based on Predictive Goertzel algorithm is proposed, which injects a small harmonic component of the output of the grid and checks point of common coupling (PCC).

1 citations

Journal ArticleDOI
TL;DR: In this article , various concentrations of Sm (1, 2, 3, 4, and 5 at%) doped SnO2 thin films were synthesized by the sol-gel spin coating method and investigated the structural, optical, and electrical properties.
Proceedings ArticleDOI
16 Oct 2022
TL;DR: In this article , the authors demonstrate the importance of time delays on the performance of dual area realistic power systems (DARPS) under the regulation of two degrees-of-freedom PID (2DOFPID) controller fine-tuned with modern heuristic optimization approach of seagull optimization algorithm (SOA).
Abstract: In this paper, the investigation is concentrating on demonstrating the prominence of time delays on the performance of dual area realistic power systems (DARPS). Step load perturbation (SLP) of 10% is injected in area-1 of DARPS for analysis purposes under the regulation of two degrees-of-freedom PID (2DOFPID) controller fine-tuned with modern heuristic optimization approach of seagull optimization algorithm (SOA) subjected to the integral square error (ISE) index. However, the efficacy of 2DOFPID is showcased upon comparing with PI/PID controller performances. The investigation is performed on DARPS with and without considering time delays and the simulation results deliberate the significance of time delays on frequency regulation of DARPS.

Cited by
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Journal ArticleDOI
TL;DR: In this paper, an in-depth analysis providing the optimal parameters estimation for discrete wavelet transform (DWT) applied to detection of series arc faults in the household AC power network is presented The influence of three parameters investigated: the choice of mother wavelet, level of decomposition and sampling frequency.

54 citations

Journal ArticleDOI
TL;DR: In this paper, a convolutional neural network-based arc detection model named ArcNet was proposed, which achieved an average runtime of 31 ms/sample of 1 cycle at 10 kHz sampling rate, which proves the feasibility of practical hardware deployment for realtime processing.
Abstract: AC series arc is dangerous and can cause serious electric fire hazards and property damage. This article proposed a convolutional neural network -based arc detection model named ArcNet. The database of this research is collected from eight different types of loads according to IEC62606 standard. The two most common types of arcs, including arcs from a loose connection of cables and those caused by the failure of the insulation, are generated in testing and included in the database. Using the database of raw current, experimental results indicate ArcNet can achieve a maximum of 99.47% arc detection accuracy at 10 kHz sampling rate. The model is also implemented in Raspberry Pi 3B for classification accuracy. A tradeoff study between the arc detection accuracy and model runtime has been conducted. The proposed ArcNet obtained an average runtime of 31 ms/sample of 1 cycle at 10 kHz sampling rate, which proves the feasibility of practical hardware deployment for real-time processing.

48 citations

Journal ArticleDOI
TL;DR: In this article , a convolutional neural network-based arc detection model named ArcNet was proposed, which achieved an average runtime of 31 ms/sample of 1 cycle at 10 kHz sampling rate, which proves the feasibility of practical hardware deployment for realtime processing.
Abstract: AC series arc is dangerous and can cause serious electric fire hazards and property damage. This article proposed a convolutional neural network -based arc detection model named ArcNet. The database of this research is collected from eight different types of loads according to IEC62606 standard. The two most common types of arcs, including arcs from a loose connection of cables and those caused by the failure of the insulation, are generated in testing and included in the database. Using the database of raw current, experimental results indicate ArcNet can achieve a maximum of 99.47% arc detection accuracy at 10 kHz sampling rate. The model is also implemented in Raspberry Pi 3B for classification accuracy. A tradeoff study between the arc detection accuracy and model runtime has been conducted. The proposed ArcNet obtained an average runtime of 31 ms/sample of 1 cycle at 10 kHz sampling rate, which proves the feasibility of practical hardware deployment for real-time processing.

28 citations

Proceedings ArticleDOI
01 Oct 2016
TL;DR: The reliability of this algorithm has been tested using a MATLAB/Simulink model of a parallel transmission line for a variety of faults, fault distances and fault inception angles and this validates the proposed digital relaying technique.
Abstract: Transmission line faults are detrimental to a power system but are inevitable. They disrupt power supply and can result in calamitous situations such as blackouts. With the advent of modern technology, protective systems use computer based digital relays. The operation of relays can be made more reliable, accurate and fast by the use of better techniques which are immune to factors such as fault distance, fault inception angle and fault impedance. This paper presents one such unique and powerful digital relaying technique using wavelet multi-resolution analysis (MRA) for a parallel transmission line. Daubechies 4 (db — 4) wavelet is used as mother wavelet. The summation of the 6th level detail co-efficients obtained from the wavelet MRA filter bank are used for fault detection and classification. This paper explicates the need for this type of algorithm and its advantages. The reliability of this algorithm has been tested using a MATLAB/Simulink model of a parallel transmission line for a variety of faults, fault distances and fault inception angles and this validates the proposed digital relaying technique.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed robust functional analysis of power transmission lines to represent the behavior of the electrical signals and to estimate the upper and lower limits under normal operating conditions, but the results showed that the estimation is biased and relies on statistical assumptions that do not hold in practice.

4 citations