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Institution

National Institute of Technology, Meghalaya

EducationShillong, India
About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Papers published on a yearly basis

Papers
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Proceedings ArticleDOI
13 Oct 2021
TL;DR: In this paper, a modular multilevel cascaded converter (MMCC) is used to optimize the performance of a permanent magnet synchronous generator (PMSG) based small hydropower plant.
Abstract: In micro-grids spinning reserves are crucial to compensate for the transient variation in generation and load. To incorporate necessary spinning reserve into the system, hydroelectric generators are operated at lower load reducing the system efficiency. In this article, a modular multilevel cascaded converter (MMCC) is used to optimize the performance of a permanent magnet synchronous generator (PMSG) based small hydropower plant. In contrast to conventional topology, the MMCC contains multiple dc-link capacitors. A super-capacitor energy storage system (ScESS) is connected at each of the dc links. Thus a high-power modular ScESS can be incorporated into the system. This high-power modular ScEES is used to supply the transient power demand of the microgrid thereby reducing the spinning reserve requirement of hydropower plants. Using a decoupled control technique the machine current and the current flowing into the grid are independently controlled from a single MMCC. Thus, the MMCC can independently control the steady power generated by PMSG and the transient power demanded by the grid obtained from the modular ScESS. Simulation results for the transient and steady-state performance validated the suitability of the proposed scheme for PMSG based small hydropower plants.
Proceedings ArticleDOI
01 Jun 2018
TL;DR: This paper is to present a comprehensive analysis on two adaptive current controllers used for inverter operation and compare their performances based on THD for the grid injected currents under system dynamics.
Abstract: The solar inverter based control technologies have almost saturated the research filed in an application of grid-interactive solar systems. It is mandatory to produce quality of power from solar systems by using efficient inverter control operation with robust and flexible control design. The objective of this paper is to present a comprehensive analysis on two adaptive current controllers used for inverter operation and compare their performances based on THD for the grid injected currents under system dynamics. These artificial intelligent adaptive controllers are driven by neural network concepts followed by reformed weight updation process which entirely helps in minimizing current harmonics generated due to the application of inverter units, non-linear loads or distorted grid. The proposed power and control models are simulated in MATLAB/Simulink platform and their usefulness are measured in terms of power quality.
Journal ArticleDOI
TL;DR: In 2010, twenty-four heads of member states of NATO assembled for a summit in Lisbon as mentioned in this paper , where the agenda was an overhaul of the alliance's decade-long security strategy, and the heads of government met with Afghan President Hamid Karzai and announced plans to withdraw all NATO troops from Afghanistan by the end of 2014.
Abstract: In November 2010, twenty-four heads of member states of NATO assembled for a summit in Lisbon. On their agenda was an overhaul of the alliance's decade-long security strategy. On the sidelines of this summit, the heads of government met with Afghan President Hamid Karzai and announced plans to withdraw all NATO troops from Afghanistan by the end of 2014. The decision was not wholly unexpected. However, in newsrooms and among select consulting firms that worked with Afghan ministries in the capital Kabul, the announcement ratcheted up a sense of unease. Doubts were cast over the Afghan national army's preparedness to carry out solo combat operations.
Proceedings ArticleDOI
01 Dec 2017
TL;DR: This paper investigates the outcomes of utilizing a PV assisted Battery Swapping Station to combat and alleviate simultaneously the issues of overburden and energy storage.
Abstract: The large-scale world-wide adoption of Electric Vehicles as a mode of transportation is predicted to create stress on the already loaded power supply network. As such continued efforts in the area of distributed generation assisted charging stations are in full-swing. The paper investigates the outcomes of utilizing a PV assisted Battery Swapping Station to combat and alleviate simultaneously the issues of overburden and energy storage. A BSS can be tethered not only to provide battery swapping services to EVs but also provide for grid support, energy storage, ancillary services, etc. A grid interfaced PV assisted BSS system and its functioning in the smart grid environment has been proposed considering the system has a reliable and secure communication infrastructure. The multiple roles of the BSS and its coordinated functioning with the PV and the grid is examined under various test scenarios. The hardware prototyping of the control strategies for the inverter and the BSS is realized using Virtex-6 FPGA ML605 evaluation kit. The simulation and the hardware co-simulation results are presented to validate the efficacy of the proposed control scheme.
Journal ArticleDOI
TL;DR: This paper studies the convergence of generalized Jacobi and generalized Gauss–Seidel methods for solving linear systems with symmetric positive definite matrix, L -matrix and H-matrix as co-efficient matrix and proposes a generalization of successive overrelaxation (SOR) method.
Abstract: In this paper, we study the convergence of generalized Jacobi and generalized Gauss–Seidel methods for solving linear systems with symmetric positive definite matrix, L-matrix and H-matrix as co-efficient matrix. A generalization of successive overrelaxation (SOR) method for solving linear systems is proposed and convergence of the proposed method is presented for linear systems with strictly diagonally dominant matrices, symmetric positive definite matrices, M-matrices, L-matrices and for H-matrices. Finally, numerical experiments are carried out to establish the advantages of generalized SOR method over generalized Jacobi, generalized Gauss–Seidel, and SOR methods.

Authors

Showing all 517 results

NameH-indexPapersCitations
Sudip Misra485359846
Robert Wille434576881
Paul C. van Oorschot4115021478
Sourav Das301744026
Mukul Pradhan23531990
Bibhuti Bhusan Biswal201551413
Naba K. Nath20391813
Atanu Singha Roy19481071
Akhilendra Pratap Singh19991775
Abhishek Singh191071354
Vinay Kumar191301442
Dipankar Das19671904
Gayadhar Panda181231093
Gitish K. Dutta16261168
Kamalika Datta1569676
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202236
2021191
2020220
2019184
2018155