A5063627288- Microgrid Control and Optimization
- Frequency Control in Power Systems
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Power Systems Fault Detection
- Electric Power System Optimization
- Wind Turbine Control Systems
- Islanding Detection in Power Systems
- Multilevel Inverters and Converters
- Power Quality and Harmonics
- Power Transformer Diagnostics and Insulation
- Power Systems and Renewable Energy
- Advanced DC-DC Converters
- Electricity Theft Detection Techniques
- Photovoltaic System Optimization Techniques
- Fuel Cells and Related Materials
- Hybrid Renewable Energy Systems
- Machine Fault Diagnosis Techniques
- High voltage insulation and dielectric phenomena
- Power System Reliability and Maintenance
- Smart Grid Security and Resilience
- Advanced Control Systems Design
- HVDC Systems and Fault Protection
Nanyang Technological University
2021-2024
Universiti Putra Malaysia
2018-2022
College of Management Academic Studies
2022
Horizon College and Seminary
2022
Lebanese French University
2022
Western Power Distribution (United Kingdom)
2020
Rajalakshmi Engineering College
2017
This paper presents the detection of High Impedance Fault (HIF) in solar Photovoltaic (PV) integrated power system using recurrent neural network-based Long Short-Term Memory (LSTM) approach. For study this, an IEEE 13-bus was modeled MATLAB/Simulink environment to integrate 300 kW PV systems for analysis. Initially, three-phase current signal during non-faulty (regular operation, capacitor switching, load transformer inrush current) and faulty (HIF, symmetrical unsymmetrical fault)...
This paper introduces a robust approach, integrating Virtual Inertia Controller (VIC) with modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in system has undesirable impact on stability MG frequency. As result, it leads to weakening MGs overall performance. A novel fractional derivative virtual is integrated into VIC loop address this issue. enhancement aims fortify...
This paper presents the automatic load frequency control (ALFC) of two-area multisource hybrid power system (HPS). The interconnected HPS model consists conventional and renewable energy sources operating in disparate combinations to balance generation demand system. In proffered work, stability analysis nonlinear dynamic was analyzed using Hankel method order reduction. Also, an attempt made apply cascade proportional integral - derivative (PI-PD) for HPS. gains controller were optimized by...
The electric sector is majorly concerned about the greenhouse and non-greenhouse gas emissions generated from both conventional renewable energy sources, as this becoming a major issue globally. Thus, utilities must adhere to certain environmental guidelines for sustainable power generation. Therefore, paper presents novel nature-inspired population-based Harris Hawks Optimization (HHO) methodology controlling thermal generating sources by solving single multi-objective Optimal Power Flow...
The large-scale penetration of intermittent Renewable Energy (RE) sources such as wind and solar power generation may cause a problem frequency aberration interconnected Hybrid Power System (HPS). This occurs when the load control system is unable to compensate balance between demand. Also owing enhancement future transport, Plug-in Electric Vehicle (PEV) plays significant role customer at demand side. Thus, PEV can act in integrated system. paper presents physics inspired Atom Search...
This paper presents the methodology to detect and identify type of fault that occurs in shunt compensated static synchronous compensator (STATCOM) transmission line using a combination Discrete Wavelet Transform (DWT) Naive Bayes (NB) classifiers. To study this, network model is designed Matlab/Simulink. Different types faults, such as Line Ground (LG), (LL), Double (LLG) three-phase (LLLG) fault, are applied at disparate zones system, with without STATCOM, considering effect varying...
In this paper, a new optimal load shedding method using grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of islanded power system that comprises distributed energy resources (DER). The GOA used in conjunction with voltage margin (VSM) to handle multi-objective constraints, namely generation restrictions, allowable curtailment, and priority. To assess effectiveness offered method, comprehensive evaluation study applied IEEE 33-bus four DG units view different...
This paper presents a blockchain-based decentralized frequency control of an islanded microgrid (MG) using novel federated learning fractional order recurrent neural network (FL-FORNN). A self-adaptive proportional-integral-derivative (PID) controller is proposed FL-FORNN to handle the uncertainties power generation by prosumers while participating in trading MG. In this work, oscillations during peer-to-peer (P2P) energy are regulated through appropriate design adaptive and implementation...
Nowadays, renewable energy (RE) sources are heavily integrated into the power system due to deregulation of market along with environmental and economic benefits. The intermittent nature RE stochastic behavior loads create frequency aberrations in interconnected hybrid systems (HPS). This paper attempts develop an optimization technique tune controller optimally regulate frequency. A Sparrow Search Algorithm-Grey Wolf Optimizer (SSAGWO) is proposed optimize gain values proportional integral...
The large-scale integration of wind turbines (WTs) in renewable power generation induces oscillations, leading to frequency aberration due unbalance. Hence, this paper, a secondary control strategy called load (LFC) for systems with turbine participation is proposed. Specifically, backpropagation (BP)-trained neural network-based PI approach adopted optimize the conventional controller achieve better adaptiveness. proposed was developed realize timely adjustment parameters during unforeseen...
A novel generalised Hopfield neural network (GHNN) based self‐adaptive proportional–integral–derivative (PID) controller for load frequency control (LFC) is designed a two‐area interconnected power system with nonlinearities of generator rate constraint and governor dead band. The problem conceptualised as an optimisation objective function area error in terms the PID parameters. differential equations governing behaviour GHNN were solved to obtain parameters K p , i d . To test feasibility...
Natural ester oils are the current target of many industries and electrical utilities as electrically insulating fluids to replace conventional mineral oils. However, previously investigated, most natural based on edible products, causing a negative impact food crisis. Accordingly, nonedible green nanofluids cottonseed oil have been targeted in present study. Additive graphene nanoparticles (0.0015 wt%, 0.003 0.006 0.01 wt%) along with surfactant sodium dodecylbenzene sulfonate (SDBS) were...
This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is widespread foraging strategy called Levy walk Brownian movements in ocean predators, including encounter rate policy biological interaction among predators prey which make method to solve real-world engineering problems OPF. OPF problem has been extensively used system operation, planning, management over long time....