- Electric Power System Optimization
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Power Quality and Harmonics
- Microgrid Control and Optimization
- Electric Motor Design and Analysis
- Magnetic Bearings and Levitation Dynamics
- Engineering and Technology Innovations
- Control Systems and Identification
- Smart Grid and Power Systems
- Power Systems and Renewable Energy
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Magnetic Properties and Applications
- Hybrid Renewable Energy Systems
- Advanced Adaptive Filtering Techniques
- Wind Turbine Control Systems
- UAV Applications and Optimization
- Power Systems and Technologies
- Advanced Multi-Objective Optimization Algorithms
- Power Line Communications and Noise
- Metaheuristic Optimization Algorithms Research
- High-Voltage Power Transmission Systems
- HVDC Systems and Fault Protection
University of Engineering and Technology Taxila
2013-2025
Université Sorbonne Paris Nord
2024
This paper proposes a new artificial hummingbird algorithm (AHA)-based framework to investigate the optimal reactive power dispatch (ORPD) problem which is critical in capacity of systems. aims improve performance systems by minimizing two distinct objective functions namely active loss transmission network and total voltage deviation at load buses subjected various constraints within multiobjective framework. The proposed AHA-based maps inherent flight foraging capabilities exhibited...
The electric power quality has become a serious concern for utilities and end users owing to its undesirable effects on system capabilities performance. Harmonic levels systems have been pronounced greater extent with the continuous growth in application of solid-state reactive compensatory devices. Harmonics are key constituents that mainly responsible deterioration. Power harmonics need be correctly estimated filtered increase quality. This research work focuses accurate estimation...
Ever-increasing energy demand and technology development are continuously pursuing the attention of power system planners to design an optimum strategy for supplying future electrical demand. Generation expansion planning turns out be a crucial step efficient management in modern grid. In this paper, novel whale optimization algorithm with penalty factor approach (WOA-PFA) framework has been developed solve nonlinear, discrete, dynamic, highly complex, heavily constrained GEP problem....
The power quality is becoming an extensively addressing aspect of the system because sensitive operation smart grid, awareness quality, and equipment modern systems. In this paper, we have conceived a new hybrid Quantum inspired particle swarm optimization least square (QPSO-LS) framework for real-time estimation harmonics presented in time-varying noisy signals. technique has strong, robust, reliable search capability with powerful convergence properties. proposed approach applied to...
Overspeeding is the primary reason for accidents on highways. Fixed roadside surveillance systems have been inefficient because individuals only exercise caution in these spots. Unmanned aerial vehicles (UAVs) are a viable choice real-time automobile monitoring roadways due to their superior maneuverability and modern technologies. However, recent UAV-based traffic suffer from high deployment costs transmission delays. To this end, we proposed cost-effective distributed Wireless Sensor...
Traditional power distribution systems encounter challenges due to day-by-day increasing demand and aging infrastructure, resulting in losses, low end voltages service disruptions. In response, feeder reconfiguration (DFR) has emerged as a promising solution. DFR involves strategically adjusting the connection status of feeders optimize system performance, enhance reliability, improve flow characteristics. This research focuses on devising an effective solution using advanced Artificial...
In this era, one of the major trends in automotive industry is emergence electric vehicles and main challenge regarding energy usage. Therefore, entire world taking steps to convert waste into useful energy. paper, such a shock absorber design implemented which from regenerated using series neodymium magnets fed back vehicle battery converters boosters. The radial are used produce green electrical that lost due damping different losses. Neodymium magnets, rods, metallic steel pipes, coils...
Presently, axial flux permanent magnet machines are becoming popular and being deployed actively for low speed applications. This paper presents an improved model of a multistage generator (AFPMG). The AFPMG consists multiple stator rotor discs. There three identical 1-phase discs four in-phase in the proposed AFPMG. In this research, 4 case studies were analyzed on design First, phase shift (PSM) positions to behave as 3-phase generator. Actually, PSM computes phases order establish...
Generation expansion planning (GEP) is a vital step in power system after load forecast. It highly constrained, dynamic, combinatorial, and discrete optimization problem. Mathematically, it modeled as mixed-integer nonlinear programming problem with high dimensionality stochastic characteristics. The integration of renewable energy sources makes the GEP complicated task less reliable due to its intermittent nature. Meta-heuristic approaches are considered potential solution methodologies...
The alternate energy resources are replacing conventional sources for electricity production because of tremendously increasing environmental pollution and cost fossil fuels. Wind power is one the potential being deployed actively. generation system comprises wind turbine electrical generator as essential parts interconnected through gear box. turbines designed with adjustable blade pitch to regulate shaft speed or withstand against heavy blows. In this paper, a technique peak load sharing...
Generation expansion planning (GEP) is a primary and rigorous exercise in shaping the long-term decisions terms of capacity expansion, location technology power plants, to be committed for next 25–30 years, based on forecasted electrical demand. It non-linear, mixed-integer, stochastic, dynamic discrete optimization problem. The metaheuristics are deemed best techniques answer this multi-dimensional problem with large number complicated constraints. In work, least cost GEP solved using new...
ED (Economic Dispatch) problem is one of the vital step in operational planning. It a nonconvex constrained optimization problem. However, it solved as convex by approximation machine input/output characteristics, thus resulting an inaccurate result. Reliable, secure and cheapest supply electrical energy to consumers prime objective power system Increase fuel cost, reduction fossil-fuel assets ecological concerns have forced integrate renewable resources generation mix. instability wind...
The modernization of traditional grid towards a smart gird is being accomplished for the improvement system reliability, to facilitate renewables integration with amelioration energy consumption and power quality management system. Recently, Power has acquired enormous attention due wide usage nonlinear loads, electronics devices, renewable sensitive operations in grid. Timely accurate detection harmonics are key factors an effective protection strategy. In this paper, new hybrid...
The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact the environment and promote cost-effectiveness. To achieve this goal, is increasingly integrating renewable energy sources, such as solar wind power, into its expansion planning. However, effectiveness of these sources varies considerably depending location. minimize costs, study was conducted develop framework solve emission-constrained generation problem using GAMS...