A5075989887- Optimal Power Flow Distribution
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Power Quality and Harmonics
- Power Systems Fault Detection
- Power System Optimization and Stability
- Power Transformer Diagnostics and Insulation
- Railway Systems and Energy Efficiency
- Image and Signal Denoising Methods
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Power System Reliability and Maintenance
- Power Systems and Technologies
- Electrical Fault Detection and Protection
- Advanced Battery Technologies Research
- Machine Fault Diagnosis Techniques
- Pulsars and Gravitational Waves Research
- Islanding Detection in Power Systems
- Transportation Planning and Optimization
- Real-time simulation and control systems
- Smart Parking Systems Research
- Religious Freedom and Discrimination
- Energy and Environment Impacts
- Optimization and Packing Problems
Chandigarh University
2024
Indian Institute of Technology Dhanbad
2024
Durham University
2018-2019
National Institute of Technology Jamshedpur
2017-2018
National Institute of Technology Calicut
2016
This research work proposes a Hybrid Modified Grey Wolf Optimization–Sine Cosine Algorithm for the multi-objective optimal scheduling of hybrid power system taking into consideration risk factor arising due to intermittent/uncertain nature renewable generation sources. The is modelled considering thermal units, wind energy system, solar photo voltaic electric vehicle and battery storage system. optimization problem proposed based on simultaneous minimization total operating cost risk....
This research manuscript proposes an Improved Manta Ray Foraging Optimization (IMRFO) algorithm for the power system congestion cost problem.The goal of proposed Congestion Management (CM) strategy is twofold: firstly, Generator Sensitivity Factors (GSF) determined to select and involve most influential generators that will reschedule their real alleviate excess flow in congested transmission lines.Secondly, IMRFO has been developed applied attain minimum possible cost.The formulated with...
Global warming, pollution, and the depletion of fossil fuels have compelled human beings to explore alternate sources energy cleaner modes transport. In recent years, renewable (RES) been massively introduced grid. Furthermore, Electric Vehicles (EVs) are becoming popular as a mode However, introduction RESs EVs grid has imposed additional challenges on operators because their random nature. This review aims focus integration RES grid, thereby presenting global status EVs, impact integrating...
Smart grid technology has given users the ability to regulate their home energy in a much more effective manner. In such scenarios, Home Energy Management (HEM) potentially becomes an arduous task, as it necessitates optimal scheduling of smart appliances order reduce usage. this research, hybrid Harris Hawk Optimization-Sine Cosine Algorithm (hHHO-SCA) been proposed develop meta-heuristic-based HEM system. The hybridization HHO with SCA done enhance exploration and exploitation stages HHO,...
Congestion management is one of the most critical issues in operation deregulated power systems. This research work proposes a Management (CM) approach considering optimal real rescheduling system generators. The Generator Sensitivity Factors (GSF) have been considered to select sensitive generators that would participate CM. An Improved Crow Search Algorithm (ICSA) has formulated minimize congestion cost. stages exploration and exploitation (CSA) modified with incorporation dynamic...
The increasing complexity of modern power systems, driven by smart grid technologies, dispersed generation, and renewable energy sources, has made quality (PQ) evaluation more challenging. Overuse sensors large data volumes further complicate accurate PQ assessment. This paper proposes a flexible signal decomposition methodology using the nonsubsampled contourlet transform (NSCT) for event detection. NSCT's multiscale, multidirectional, shift-invariant properties enable signals into...
Ensuring the stability and reliability of modern power systems relies on accurately detecting classifying quality (PQ) disturbances. This study presents an advanced automated recognition approach capable identifying 14 distinct PQ event types, including voltage sags, swells, transients, interruptions, harmonics, flicker. The methodology integrates tunable-Q wavelet transform (TQWT) for signal decomposition, optimizing Q-factor parameters to extract precise features, morphological component...
The paper introduces a novel method for identifying the location of harmonic-generating sources in smartgrids. utilizes Dual-Tree Complex Wavelet Transform (DTCWT) voltage and current signals measured at specific point network. By applying DTCWT Transform, are decomposed, three non-active power quantities extracted to represent harmonic components within system exclusively. These chosen serve as indicators presence harmonics system. Through analysis comparison these quantities, enables...
The initiative to manage congestion has gained interest in the current deregulated scenario. principle commitment of work this article is extend gravitational search algorithm (GSA) as an efficient metaheuristic optimizing diminish rescheduling cost and efficiently attenuate overloading line with minimal deviation active power generation. management drive accomplished by prioritizing generators based on their sensitivity values. Thereafter, GSA introduced optimally minimize along...
The issue to alleviate congestion in the power system framework has emerged as an alluring field for researchers. research conducted this article proposes a cuckoo search algorithm based alleviation strategy with incorporation of wind farm. bus sensitivity factor data are computed and utilized sort out sutiable position installation generators contributing real rescheduleing process selected per generator values. is implemented minimize cost embodiment farm.The proposed method tested on 39...
In the restructured power system, where uncertainties are common, managing congestion becomes a crucial aspect of system operation and control. Congestion management aims to alleviate transmission line while meeting constraints at minimal cost. This research introduces generation rescheduling method for in electricity market, leveraging an innovative nutcracker optimizer algorithm. The algorithm, inspired by nutcrackers’ food accumulation mechanisms, is recently developed nature-inspired...
There has been a lack of satisfactory solution for identifying and locating evolving faults in unbalanced distribution systems. The proposed approach is based on the cross-correlation technique as key element fault detection location. Evolving faults, this context, refer to two sequential that result change phase. captured QRS value reflects occurrence second occurrence. In order identify Faults, it makes use signal currently being monitored at any given point network. Typical system...