ANUP KUMAR
@iimtu.edu.in
ASSISTANT PROFESSOR
IIMT UNIVERSITY MEERUT
RESEARCH INTERESTS
Power System Protection Schemes, Renewable Sources of Energy
Scopus Publications
Scopus Publications
Sachin Sharma, Fatemeh Kazemi, Pankaj Singh, Anup Kumar, and Ferdows B. Zarrabi
Elsevier BV
Anup Kumar, Himanshu Sharma, Preeti Parihar, and Pankaj Singh
Springer Nature Singapore
Anup Kumar, Himanshu Sharma, and Ram Niwash Mahia
Inderscience Publishers
Anup Kumar, Himanshu Sharma, and Ram Niwash Mahia
Inderscience Publishers
Anup Kumar, Himanshu Sharma, and Ram Niwash Mahia
IEEE
This paper designed a method using Stockwell transform (ST), Wigner distribution function (WDF) and alienation coefficient to detect the cross country faults incident on single circuit power transmission line (PTL). Currents are processed using ST and cross country Stockwell fault index (CSFI) is computed. These current signals are processed to compute cross country Wigner fault index (CWFI). Alienation coefficient is used to process current signals for computing cross country alienation fault index (CAFI). SFI, CWFI and CAFI are multiplied with a cross country weight factor (CWF) to compute cross country hybrid fault index (CHFI). This is established that proposed method effectively detects the different types of cross country faults incident on PTL. Proposed CHFI is effective to detect cross country faults with variations in the fault incidence angle and fault impedance. Performance of designed method is better relative to the artificial neural network (ANN) based technique for detection of cross country faults.
Anup Kumar, Himanshu Sharma, and Ram Niwash Mahia
IEEE
This paper designed a technique using Stockwell transform (ST), Wigner distribution function (WDF) and alienation coefficient to detect evolving fault conditions incident on a power transmission line with two terminals (PTLTT). Currents are decomposed applying the ST and evolving Stockwell fault index (ESFI) is computed. These current signals are also decomposed using WDF for computing evolving Wigner fault index (EWFI). Alienation coefficient is used to process current signals for computing evolving alienation fault index (EAFI). The ESFI, EWFI and EAFI are multiplied with a evolving weight factor (EWF) to compute evolving hybrid fault index (EHFI). EHFI is compared with evolving threshold (ETH) for identifying the evolving fault. During scenario of evolving fault, the EHFI is greater than ETH for the faulty phases and observed lower than ETH for healthy phases. This is established that proposed method effectively detects the different types of evolving faults incident on PTLTT. Proposed EHFI is effective to detect evolving faults with variations in the fault incidence angle and fault impedance. Performance of proposed method is better relative to discrete Meyer wavelet transform (DMWT) supported evolving faults recognition method.
Anup Kumar, Himanshu Sharma, Ram Niwash Mahia, Om Prakash Mahela, and Baseem Khan
Hindawi Limited
A hybrid scheme for transmission line protection (HSTLP) using the Stockwell transform (ST), Wigner distribution function (WDF), and alienation coefficient (ACF) is designed. Current signals are analyzed using the ST, WDF, and ACF to compute the Stockwell fault index (SFI), Wigner fault index (WFI), and alienation coefficient fault index (ACFI), respectively. These fault indexes are used to derive a hybrid signal processing fault index (HSPFI), which is implemented for the detection of transmission line fault events. The peak magnitude of HSPFI is compared with a preset threshold magnitude (TH) to identify the fault. The statistical formulation is proposed for fault location on the power transmission line. Fault classification is achieved using the number of faulty phases. A hybrid ground fault index (HGFI) is used to recognize the involvement of the ground during the fault event. This HGFI is determined by processing zero sequence current using ST and WDF. The performance of algorithm is tested by various case studies for fault impedance variation, variable sampling frequency, fault incidence angle variation, reverse power flow on transmission line, highly loaded line, different fault locations online, and noisy conditions. The algorithm is also validated to detect a fault on a practical transmission line of large area utility grid of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in India. The algorithm performs better than the Hilbert–Huang transform (HHT)-based protection scheme and wavelet transform (WT)-based protection scheme available in the literature in terms of mean error of fault location, fault location accuracy, and noise level. The proposed protection scheme efficiently detected, classified, and located the faulty events such as single-phase-to-ground fault (SPGF), two-phase fault (TPF), two-phase-to-ground fault (TPGF), three-line fault (TLF), and three-line-to-ground fault (TLGF). Transmission line fault location accuracy of 99.031% is achieved. The algorithm performs well even with a high noise level of 10   dB SNR.
Savita Swaroop, Rohit Kumar, Anup Kumar, and Nitin Kumar
IEEE
In the recent years, the requirement of multilevel inverter is expeditiously increasing in the field of electrical energy utilization. Because the multilevel inverter is a key technology to integrate the renewable energy sources with the grid. Recently, various multilevel inverter topologies have been introduced which required a large number of power switches, gate drive circuit and voltage sources, as a result the complexity of the circuit, power losses and voltage stress on switch increases on the other hand the efficiency of the system reduces. It also produces power quality issues at the generating and distributing utility end. In this paper, a new topology of multilevel inverter with reduced number of power switches and dc voltage sources are presented. The proposed topology has been designed to 9-level inverter with eight unidirectional, one bidirectional and two dc voltage sources. The proposed topology comprises of a H-bridge which synthesize a ac voltage by utilizing almost all possible additive and subtractive cases of the voltage sources with its combinational power switches. The researchers generated optimal switching angles using selective harmonic elimination technique with Genetic Algorithm to reduce the lower order harmonic present in the output voltage of the proposed nine-level inverters. MATLAB/ SIMULINK tool has been used to validate the proposed topology results on various load. The harmonic analysis of nine-level multilevel inverter for R-Ioad and RL-load through analysis by simulation. The proposed topology offers a high-power quality output with THD less than 5% and individual harmonic less than 3% as per the recommendation of IEEE 519.
Savita Swaroop, Rohit Kumar, Anup Kumar, and Nitin Kumar
IEEE
Multilevel inverters (MLI) are commonly used for grid integration of renewable energy sources (RES) and for high-power industrial applications. MLI has excellent characteristics, such as high-level output voltage with minimal distortion of harmonics, meeting the requirements of power efficiency. General MLI topologies have a more complicated circuit, with more part numbers, high total cost and area of installation. This paper thus provides a synthesis of knowledge of the various topologies of the MLI and maps the knowledge gaps. The conceptual diagram with the switching sequence table and mathematical equations of the topology has been defined and also covers most of the newly formed MLI, and this paper has effectively outlined the useful information. The need for the hour, along with the required modulation method, is due to a huge number of power semiconductor switch and control circuit isolation, less electronic power switches and dc source. In this article, some of the configurations with less power switches and MLI configuration for induction motor drive are checked.