ORCID Profile
0000-0002-1177-0778
Current Organisations
University of Flensburg
,
Chittagong University of Engineering and Technology
,
Central Queensland University - Gladstone Campus
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Publisher: Institute of Advanced Engineering and Science
Date: 09-2014
Publisher: Institute of Advanced Engineering and Science
Date: 09-2014
Publisher: Trans Tech Publications, Ltd.
Date: 09-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.411-414.2200
Abstract: Interoperability is a key issue in implementing an e-Government system. Grid Computing based service for interoperability (e-Gov Grid Computing) could be a solution for resource sharing and interoperability of e-Gov systems. The main objective of this paper is to develop an e-Gov Grid Computing Model through e-Gov policy in Bangladesh in order to ensure good governance. The necessary reformation which are required for implementation of ICT Grid Computing system for e-Government are administrative reform for governmental and non-governmental organizations for ensuring transparency and accountability, economic and financial systems reform, politics and political parties reform, planning and policy reform, judicial reform, reform in organizations engaged in ensuring law and order.
Publisher: Global Vision Press
Date: 31-05-2014
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 12-2014
Publisher: Global Vision Press
Date: 31-10-2014
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 12-2014
Publisher: MDPI AG
Date: 02-06-2021
DOI: 10.3390/MI12060653
Abstract: Conventional wireless sensor networks (WSNs) in smart home-building (SHB) are typically driven by batteries, limiting their lifespan and the maximum number of deployable units. To satisfy the energy demand for the next generation of SHB which can interconnect WSNs to make the internet of smart home-building (IoSHB), this study introduces the design and implementation of a 250 mW to 2.3 W energy harvesting device. The proposed device is dynamically autonomous owing to the integration of embedded solar photovoltaic (PV) modules and power storage through a supercapacitor (SC 5 V, 0.47 F) capable of powering WSNs for 95 s (up to 4.11 V). The deployed device can harvest indoor and outdoor ambient light at a minimum illumination of 50 lux and a maximum illumination of 200 lux. Moreover, the proposed system supports wireless fidelity (Wi-Fi) and Bluetooth Low Energy (BLE) to do data transfer to a webserver as a complete internet of things (IoT) device. A customized android dashboard is further developed for data monitoring on a smartphone. All in all, this self-powered WSN node can interface with the users of the SHBs for displaying ambient data, which demonstrates its promising applicability and stability.
Publisher: MDPI AG
Date: 17-02-2021
Abstract: The battery energy storage system (BESS) is an indispensable part of an electric fleet (EF) which needs to be charged by electricity from local grid when the fleet is in the dockyard. The uncoordinated fast charging of BESS in Grid to Ferry (G2F) mode imposes sudden increments of load in the power grid, which is analyzed by a simulated model of grid connected marine load. The probable impact on system stability is examined by MATLAB Simulink and Power World Simulator based models. According to simulation results for IEEE 5 bus system, voltage unbalance factors are 0.01% and 200% for all buses at fundamental and third harmonics frequencies, respectively. The total harmonic distortion (THD) at fundamental frequency becomes 0.16%, 0.16%, and 0.18%, respectively, for three cases. The transient, voltage reactive power (V-Q), and voltage real power (V-P) sensitivity analysis are performed for 7 bus system with load increment contingencies. According to simulation results, the V-Q sensitivity for the assigned contingency is increased by the addition of a shunt generator to the load bus with lowest bus voltage. In case of V-P sensitivity for the selected contingency, the load buses share power among them, and the nose point is attained at maximum shift of power with high V-Q sensitivity.
Publisher: MDPI AG
Date: 23-11-2021
DOI: 10.3390/EN14237857
Abstract: Distributed generation (DG) is gaining importance as electrical energy demand increases. DG is used to decrease power losses, operating costs, and improve voltage stability. Most DG resources have less environmental impact. In a particular region, the sizing and location of DG resources significantly affect the planned DG integrated distribution network (DN). The voltage profiles of the DN will change or even become excessively increased. An enormous DG active power, inserted into an improper node of the distribution network, may bring a larger current greater than the conductor’s maximum value, resulting in an overcurrent distribution network. Therefore, DG sizing and DG location optimization is required for a systematic DG operation to fully exploit distributed energy and achieve mutual energy harmony across existing distribution networks, which creates an economically viable, secure, stable, and dependable power distribution system. DG needs to access the location and capacity for rational planning. The objective function of this paper is to minimize the sum of investment cost, operation cost, and line loss cost utilizing DG access. The probabilistic power flow calculation technique based on the two-point estimation method is chosen for this paper’s load flow computation. The location and size of the DG distribution network are determined using a genetic algorithm in a MATLAB environment. For the optimum solution, the actual power load is estimated using historical data. The proposed system is based on the China distribution system, and the currency is used in Yuan. After DG access, active and reactive power losses are reduced by 53% and 26%, respectively. The line operating cost and the total annual cost are decreased by 53.7% and 12%, respectively.
Publisher: IEEE
Date: 05-2015
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 06-2020
Publisher: IEEE
Date: 26-09-2021
Publisher: Institute of Advanced Engineering and Science
Date: 08-2014
Publisher: Elsevier BV
Date: 12-2023
Publisher: NADIA
Date: 31-08-2014
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 09-2017
Publisher: IEEE
Date: 23-12-2022
Location: Bangladesh
No related grants have been discovered for Rajib Baran Roy.