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The tuning of the master clock frequency at ROB, is performed using a daily monitoring based on GNSS geodetic time transfer with different UTC(k)'s located in remote time laboratories. To enhance the independence of the ROB, a time scale algorithm is under process, using the ensemble of cesium clocks and H masers data. Equal clock weighting has been replaced by time-varying noise characteristics o...Show More
In this paper, design of a circular shaped microstrip patch antenna for X band and Ku band application is analyzed. The antenna proposed in this paper is of 40 X 40 mm and placed over dielectric substrate FR4 of thickness 1.56 mm having dielectric constant of 4.4. This antenna is a coplanar patch antenna in which the ground plane is coplanar with the patch. The antenna shows working on two frequen...Show More
Two most important challenges for Independent System Operator (ISO) are system security and reliability in deregulated power system. Grid integrated Battery-Based Energy Storage Transportation (BEST) can be utilized by ISO to compensate these issues. BEST can act as load as well as source and needs to be modeled adequately in Security Constrained Unit Commitment (SCUC) formulation with adequate re...Show More
COVID-19 is a deadly infectious disease caused by the recently discovered coronavirus. It is a severe acute respiratory syndrome which is spreading at an enormous rate that needs early control. IoT technologies can be successfully used in the management of spread of virus and maintenance of cold-chain. This review article discusses the role of IoT (Internet of things) in management of cold- chain ...Show More
The global shift away from fossil fuel-based electricity generation to resources such as wind and solar photovoltaic (PV) generation, electric vehicles and building electrification, and the increasing usage of energy storage, are critical enablers of the global energy transition now underway. Utilities are faced with various generation sources given the growth of renewable and must consider develo...Show More
Integration complexity and intermittency of Distributed energy resources (DERs) raise concerns about grid stability, security, and control of microgrids in various operating modes. MGs sustain reliability due to their ability to quickly restore Distributed Power Systems (DPS). The appropriate strategy for MG control is necessary to ensure efficacy of energy management, and qualitative dependabilit...Show More
The photovoltaic (PV) generation and Electric vehicles (EV) are extensively accepted around the world. Due to the restrictions of space near households, EV owners are required to charge their EVs at the workplace during the daytime in smart cities, which will cause proliferation of the peak load. In addition to this, the possibility of maximum output from PV generation is afternoon, which could in...Show More
To extract more power from the photovoltaic panel, it is required to track MPP maximum power points where maximum power will exist. In this work, MPP is tracked using perturb and observe algorithm which is implemented on high-speed Xilinx FPGA field programmable gate array Zedboard zynq. The perturb and observe algorithm has been designed in hardware description language Verilog using the Vivado s...Show More
In deregulated power system, Independent System Operator (ISO) maintain sufficient reserve requirement in order to reach the consistent operation. In this paper, Security Constrained Unit Commitment (SCUC) in a power system executes ISO using Mixed Integer Programming (MIP) and Benders Decomposition (BD) approach in thermal generating units. A new objective function is formulated to minimize produ...Show More
Decarbonization is vital for mitigating climate change and achieving sustainable development. India’s climate strategy includes the establishment of a domestic carbon market as part of its decarbonization roadmap. Key initiatives include the energy conservation act and the carbon credit trading scheme (CCTS). This paper provides a comprehensive overview of India’s carbon credit mechanisms, with a ...Show More
Parking lot operator (PLO) can provide V2G regulation up/down services to System Operator (SO) for grid stability. Nevertheless, PLO faces multiple uncertainties in market prices viz. energy and regulation prices and mobility behavior dynamics, affecting severely its V2G operational behavior. Proposed work models integration of Price-based Demand Response Program (PBDRP) by PLO, to utilize the fle...Show More
Reliability-Security Constrained Unit Commitment (RSCUC) with emphasis on Mixed Integer Nonlinear Programming (MINLP) and Benders Decomposition (BD) based on thermal generating units are presented in this paper. To solve unit commitment problem generalized BD along with reliability issues are considered. The approach presented in this work allows the decomposition of the whole program in quadratic...Show More
Large-scale adoption of Electric Vehicles EVs would increase average electricity consumption and peak demand of electrical grid. In addition, uncoordinated charging of EV would make situation more severe and require network reinforcement. One of the potential solutions to this problem is peak load management through EVs coordinated charging. In this regard, this paper put forward Time-of-Use (TOU)...Show More
In deregulated power system, security constrained unit commitment (SCUC) would be executed by Independent system operator (ISO) in day-ahead markets considering Battery energy storage system (BESS). The probable key for enhancing the electric power system operations is BESS with a high point of wind penetration in the electric grid. In energy mix scenario, high penetrations of wind generation have...Show More
Electric Vehicles (EVs) significantly support green transportation while alleviating pressure of oil export and carbon emissions. Abrupt and uncontrolled charging of these active storage units may increase peak loading and cause complications like need for reinforcement of distribution grid to maintain stability. Simultaneous charging scenario, active mostly at peak hours, also increases the charg...Show More
Computer Vision seeks to emulate human vision by analyzing digital image inputs as human perception does. To detect an emotion will not be a difficult task to for human but for any computer, detecting an emotion will be a difficult job to perform as they are unaware of that human nature. In our paper, first of all, we converted a video into frame sequence which is used for human behavior predictio...Show More
Electric Vehicle Aggregator (EVA) performs load scheduling coordination for mutual benefits of EV owners and System Operator (SO) under unidirectional grid-to-vehicle (G2V) framework. It performs trading in wholesale markets aiming at profit maximization with buy bids for charging energy requirements and sale bids of regulation services to SO. However, due to unexpected departure of EVs, EVA may i...Show More
Expansion planning of distribution system is the most significant tool which deals with the continuous increasing load demand. The main motive of the expansion planning is the minimization of the investment and operation cost of distribution network equipment which considers the installation/reinforcement cost of the substation, feeders, and Distribution Generation. In this paper, price and load u...Show More
It is well established that the position co-ordinates of the receiving antenna should be determined precisely in advance for getting Time of the GPS receiver through a single GPS satellite technique. So it is desirable to know the extent of accuracy of the position co-ordinate required for a particular timing accuracy. In this paper, an analytical expression relating to the position error and the ...Show More
Greenhouse gas emission concerns and fossil fuel depletion are drivers for electrification of transportation. To alleviate these emissions requires renewable energy-based charging of EVs. Intermittent nature of renewable generation as well as charging behavior of EV owners may pose operational challenges to the system operator (SO) and might threaten system security and reliability. Synergetic int...Show More
Detecting breast cancer at early stages is vital for effective treatment, planning and improvement of the patient outcomes. UNet is a popular deep learning (DL) model applicable to the segmentation of a variety of medical images. This study presents a numerical analysis of UNet applied to segmenting breast ultrasound (US) images. 286 breast US images collected and labeled by Thammasat University H...Show More