- Photovoltaic System Optimization Techniques
- Power Quality and Harmonics
- Magnetic Properties and Applications
- Power Transformer Diagnostics and Insulation
- Solar Thermal and Photovoltaic Systems
- Solar Radiation and Photovoltaics
- solar cell performance optimization
- Electric Motor Design and Analysis
- Advanced Battery Technologies Research
- Advanced DC-DC Converters
- Advanced Control Systems Design
- Electrical Fault Detection and Protection
- Sensorless Control of Electric Motors
- Multilevel Inverters and Converters
- Electric Vehicles and Infrastructure
- Power System Reliability and Maintenance
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Induction Heating and Inverter Technology
- Fractional Differential Equations Solutions
- Islanding Detection in Power Systems
- Power System Optimization and Stability
- Machine Fault Diagnosis Techniques
- Extremum Seeking Control Systems
- Model Reduction and Neural Networks
Graphic Era University
2014-2024
University of Johannesburg
2021
Motilal Nehru National Institute of Technology
2012-2013
The accuracy in electrical model parameters of solar photovoltaic (PV), such as photon current, the diode dark saturation series resistance, shunt and ideality factor, are desirable to predict real performance characteristics PV under varying environment conditions. First, this paper derives mathematical PV, terms two unknown, namely, resistance factor. Then, using combination analytical method, simulated annealing derived model, a new parameter estimation technique has been proposed....
In this paper, a novel controller, namely fractional order fuzzy proportional-integral-derivative (FOFPID) has been proposed for the dual area power system of hydro-thermal-gas units (DAHTG). The squirrel search algorithm (SSA) is implemented to achieve optimal values controller tuning parameters. Further, various non-linearity constraints, such as governor dead band (GDB), generation rate constraint (GRC) and communication time delays (CTDs) have also considered test effectiveness in...
Abstract This work develops an efficient parameter estimation technique, based on manufacturer datasheet, to obtain unknown of solar photovoltaic (PV), precisely. Firstly, a nonlinear least square objective function, in terms variables given has been developed. Then, two optimization techniques, namely the Particle Swarn Optimization (PSO) and Harmony Search (HS) are applied developed function achieve optimized result. Further, correctness technique is tested by estimating performance...
This work presented in this article aims at designing and analysingalternate methods for tuning of the Proportional – Integral Derivative (PID) controller plants that do not possess ultimate parameters (ultimate gain period). The motivation lies fact conventional such as Ziegler-Nichols (Z-N) approach require PID controllers. However, because there exist some which have these parameters, hence it is difficult to design controllers using approaches directly. So, a need alternative ways...
This paper presents a new algorithm, namely, three-phase-angle for accurate characterization of three-phase unbalanced voltage sags, associated with line-to-line and single-line-to-ground faults, from recorded waveforms. algorithm uses the relation between angles voltages angle characteristic voltage. The performance proposed is evaluated by considering numerical examples waveforms available IEEE database. A thorough comparison results, obtained using other existing algorithms, made to...
This study presents a new classification of voltage sags which is based on its types, characteristic and zero‐sequence component voltage. It extremely difficult to distinguish between the have same type, due load effects hence such significant. The proposed mathematically justified by introducing two indices, namely, phase‐to‐neutral phase‐to‐phase indices. Using theoretical relation these it has been revealed that voltages, mathematical relations. Further, reveal accuracy type detection,...
Abstract Nowadays, the IDS is being used in conjunction with IIoT system to reduce security risk, but on other hand, false rate of very high. Therefore, this work, a pre-training method, making use both deep neural network and auto-encoder, has been proposed for quick prediction assaults increased accuracy reduced rate. The replicas were expanded using hyperparameter optimization (HPO) techniques. model delivers an alternative learning construction through HPO procedure incorporating...
In this paper, a new power quality (PQ) index, namely active voltage component (AVC), has been developed using the help of symmetrical analysis (SCA). Furthermore, PQ i.e., AVC, used for identification faulted phase and characterization sags. The effectiveness accuracy technique have revealed by considering sag signals from IEEE database. Through outcomes, as attained with it is that duration type are exactly same real recorded test signals. Also, shown i.e. sufficient simultaneous...
In this work, a method of optimal relay coordination for improving system reliability has been presented in association with the Wind Energy Conversion System (WECS). The graphical as well changes Plug Setting Multiplier (PSM) and Time Dial (TDS) have used to test system's help ETAP. Load flow analysis, short circuit testing under different fault conditions, assessment, performed on proposed WECS. research is that transformer protection using over-current relays (OCR) ground-fault (GFR)...
This paper presents a new algorithm to determine the phase angle of voltage unbalance factor (VUF) from line voltages and also validated through test data. Validation results in negligible error. The proposed not only reduces complexity exist symmetrical component analysis but convenient field measurement as it requires magnitude unbalance. Additionally index is suggested along with VUF for more precise assessment induction motor (IM). Further performance economic IM presented under...