A5101511807- Smart Grid Energy Management
- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Optimal Power Flow Distribution
- Advanced Battery Technologies Research
- Smart Grid Security and Resilience
- Energy Load and Power Forecasting
- Power System Optimization and Stability
- Solar Radiation and Photovoltaics
- Islanding Detection in Power Systems
- Muscle activation and electromyography studies
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Image Processing Techniques and Applications
- HVDC Systems and Fault Protection
- Vehicular Ad Hoc Networks (VANETs)
- Advanced machining processes and optimization
- Power Transformer Diagnostics and Insulation
- Photovoltaic System Optimization Techniques
- Power Systems Fault Detection
- Digital Holography and Microscopy
- Electric and Hybrid Vehicle Technologies
- Stroke Rehabilitation and Recovery
- Electric Power System Optimization
- Network Security and Intrusion Detection
Newcastle University
2018-2025
Newcastle University Singapore
2017-2024
University of Maryland, Baltimore County
2024
Nanyang Polytechnic
2020-2022
Sikkim Manipal University
2011-2020
Krishi Vigyan Kendra, Ghatkhed Amravati
2020
National University of Singapore
2013-2018
Malaviya National Institute of Technology Jaipur
2011
This paper proposes a decentralized multiagent system (MAS) approach for service restoration using controlled distributed generator (DG) islanding. Furthermore, it investigates the impacts of vehicle-to-grid (V2G) facility electric vehicles (EVs) restoration. Service is formulated as multiobjective optimization problem considering maximization priority load restored and minimization switching operations multiple objectives solved proposed MAS approach. Extensive case studies are conducted on...
Both global climate change and the decreasing cost of lithium-ion batteries are enablers electric vehicles as an alternative form transportation in private sector. However, a high vehicle penetration urban distribution grids leads to challenges, such line over loading for grid operator. In case installation integrated storage systems represent conventional reinforcement. This paper proposes method coordinated control multiple battery energy located at electrical charging parks using linear...
This paper proposes a decentralized multiagent system (MAS) approach to solve the service restoration problem considering uncertainty of load demand and renewable distributed generators (RDGs). Service is formulated as multi-objective optimization solved by implementing controlled DG islanding using proposed MAS approach. First, RDG generation forecast generating scenarios Monte Carlo simulations. Next, expected nodes be restored in an island are determined heuristic rule-based technique....
Distribution networks are evolving into active meshed with bidirectional power flow as the penetration of distributed generation (DG) sources is increasing. This necessitates use directional relaying schemes in these emerging distribution networks. However, conventional overcurrent (OC) protection will not be adequate to protect against stochastic nature renewable DGs and changing network architectures. Hence, this study proposes an adaptive OC relay algorithm that determines optimal...
Generative Adversarial Models (GANs) have been quite popular and are currently active area of research. They can be used for generative new data study adversarial samples attacks. We the similar approach to apply super-resolution medical images. In Radiology MRI is a commonly method produce imaging but limitations lab equipment health hazard being in an radiation environment obtain good quality scans lead lower also it takes lot time get high-resolution data. This problem solved by using...
We present results derived from four stellar occultations by the plutino object (208996) 2003~AZ$_{84}$, detected at January 8, 2011 (single-chord event), February 3, 2012 (multi-chord), December 2, 2013 (single-chord) and November 15, 2014 (multi-chord). Our observations rule out an oblate spheroid solution for 2003~AZ$_{84}$'s shape. Instead, assuming hydrostatic equilibrium, we find that a Jacobi triaxial with semi axes $(470 \pm 20) \times (383 10) (245 8)$~km % axis ratios $b/a= 0.82...
Mushroom harvesting, specifically mushroom picking, is a labor-intensive and time-consuming activity. This article presents literature survey of the design evaluation harvesting robots technologies to address task manual harvesting. We classify look at different classes from 1970s 2022. present robot's overall system capabilities, including sensors control systems where available. also summarized advantages disadvantages each performance metrics data are
This main focus of this paper aims to forecast photovoltaic power. The accuracy for forecasting Renewable Energy Sources (RES) are important as it is needed power grids operate. It can help make necessary adjustments operate with RES, which be highly complexed. As penetration level renewable generation increases overtime, there may result in a shift towards generation-dominant grid, causing severe quality concerns. proposed methodology artificial neural network (ANN) and the training...
With the growth of distributed generators in power grid, replacing fossil‐fuel‐based conventional generation sources with renewable resources, namely photovoltaics (PVs) or wind turbines, is inevitable. However, when rotating‐kind synchronous machines that usually possess high inertia are replaced by PVs have an inherent static nature, grid stability issues such as reduced system inertia, lack reactive power, and decreased damping may arise. This study investigates impacts high‐PV...
The penetration of renewable energy sources (RES) in distribution systems has entailed heavy deployment monitoring and control infrastructure the system. This sensors communication led to emergence a modern grid with complex cyber-physical network. On one hand, system can play pivotal role coordination through state estimation (DSSE). other risk caused by cyber-attack emerged as major challenge for operation. modelling aspects, namely DC loads, plug-in-vehicle distributed generators (DGs)...
This study proposes a multi‐stage restoration strategy to solve the service problem in distribution systems considering uncertainty of outage duration. Furthermore, it also index defined terms (i) priority load restored, (ii) number switching operations, and (iii) estimated likelihood solution assist utility enhanced decision‐making. Service is formulated as single objective optimisation maximising only objective. A decentralised multi‐agent system method developed controlled islanding...
Multi-agent systems (MAS) have recently evolved as an important feature in the development of future smart grids, especially to provide fast-responding self-healing ability grid. This paper presents a comparative analysis centralized and decentralized MAS architecture for problem service restoration. Service restoration is formulated multi-objective optimization solved by implementing DG islanding using both approach. Simulation studies are conducted on 38, 69, 119 bus test distribution...
Dissolved gas analysis (DGA) of transformer oil is an important tool to identify incipient faults in transformer. The challenge with the existing research on DGA that only a single sample used for which might lead inaccurate results. In this article, comprehensive three-stage fuzzy logic approach proposed emulate best practices industry health using current as well historical data from previous samples. first stage, developed sampling precheck better laboratory acceptance rate helps save...
Abstract The global warming crisis, together with environmental concerns, has already led governments to replace traditional fossil‐fuel cars low‐emission Electric Vehicles (EVs). This replacement resulted in the addition of a large number EVs capable connecting grid. A coordinated charging method is needed promote on scale while preventing grid overloading. In this work, are categorized based their battery capacity, as cars, trucks, and buses. charging/discharging mechanism Real Time...
In the smart grid environment, Electric Vehicles (EVs) are emerging as an important means of transportation to reduce greenhouse gas emissions. However, large adoption these vehicles may pose a significant threat stability electrical due its uncertain charging pattern. This paper proposes charging-discharging strategy for electric in controlled environment (parking lot) considering variation market prices and EV mobility The problem is formulated multi-objective scheduling maximization...
The research presented here deals with laser micro engraving of silicon carbide material. For conducting the experiments considered parameters were current, pulse frequency and scan speed. design experiment was performed help Taguchi orthogonal array. significance variables on MRR mark width studied. result indiactes that parameter has a significant influence width. Current determined to be prominent factor followed by speed in both senario. obtained results depict beam can efficiently...
In recent years, electricity demands have increased because of the growing population. order to reduce energy consumption, several studies concluded that Non-Intrusive Load Monitoring (NILM) is effective in raising awareness for users monitor their daily consumption which beneficial conservation. NILM a technique and analyze usage through load measurements. These measurements are used examining appliances power behavior data can be modify habits utility bills. This paper proposes...
Photovoltaic (PV) generation forecasting plays an important role in accommodating more distributed PV sites into power systems. However, due to the stochastic nature of generation, conventional point forecast methods can hardly quantify uncertainties generation. Being capable quantifying uncertainties, probabilistic tools, like prediction intervals (PIs), are receiving increasing attention. This paper proposes a new framework construct PIs and make forecasts. In proposed framework, efficient...
This paper addresses the siting and sizing of electric vehicle (EV) charging stations in distribution system as a multi-objective optimization problem. The minimization total real power loss voltage deviation are considered objective functions An algorithm based on integration Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Gauss-Seidel load flow is proposed to solve aforementioned implemented 14 bus network which segment Jurong Lake District, Singapore. To investigate performance...