A5016975327- Microgrid Control and Optimization
- Smart Grid Energy Management
- Metaheuristic Optimization Algorithms Research
- Energy Load and Power Forecasting
- Frequency Control in Power Systems
- Advanced Chemical Sensor Technologies
- Machine Learning and ELM
- Photovoltaic System Optimization Techniques
- Air Quality Monitoring and Forecasting
- Evolutionary Algorithms and Applications
- Electric Motor Design and Analysis
- Advanced Battery Technologies Research
- Advanced Control Systems Design
- Extremum Seeking Control Systems
- Data Stream Mining Techniques
- Wind Turbine Control Systems
- Advanced Optimization Algorithms Research
University of Technology Malaysia
2021-2023
Sebha University
2020
Considering the superior control characteristics and increased tuning flexibility of Fractional-Order Proportional Integral Derivative (FOPID) controller than conventional PID regulator, this article attempts to explore its application in optimal design Automatic Voltage Regulator (AVR). Since FOPID has two additional parameters (µ ʎ) mentioned counterpart, process is comparatively difficult. To overcome stated issue, a self-regulated off-line method based on Gradient-Based Optimization...
There are many studies that focus on extracting harmonics from both DC and AC sides of grid-interfaced photovoltaic (PV) systems. Based these studies, the paper introduces an efficient method depending hybrid voltage, active reactive power (DC-V PQ) control scheme in a single-stage three-phase PV system. The proposed is designed to regulate voltage minimize loss energy share between network reconfiguration utility grid. Moreover, technique more effective at dealing with uncertainty has...
In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving performance and accuracy algorithm for solving complex optimization engineering problems. The IGBO has added features adjusting best solution by adding inertia weight, fast convergence rate modified parameters, as well avoiding local optima using a novel functional operator (G). These make it feasible majority nonlinear problems which quite hard to achieve original version GBO. effectiveness...
In recent years, there is growth in acceptance to consume fewer fossil fuels globally and the manufacturing of electric vehicles (EVs) has become more popular. However, increase number systems connected grid that contain EVs with a huge power capacity leads unstable working system. To assess stability charging station several control approaches AC part DC parts during mode discharging modes are tested. African vulture optimization algorithm (AVOA) been utilized tune system controllers...
A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attention as it may cause total disconnection machine. In addition, BDFIG based must be capable providing controlled amount reactive power grid per modern code requirements. Also, a suitable dynamic response both...
The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. motivation behind this change is environmental and economic concerns. Furthermore, existing being overloaded day by due continuously increasing population, which consequently led overloading of transformers, transmission, distribution lines. Despite overwhelming advantages sources, there few major issues associated with them. For example,...
Sensing environmental measuring parameters has a pivotal role in our everyday lives. Most of daily life activities depend upon conditions. Accurate information about these also helps several industrial applications like ventilation rate calculation, energy prediction, stock maintenance warehouses, and saving from harmful The emergence machine learning can make it easy to predict such time series problems. This paper describes the design remotely controlled robotic car for predicting humidity...
Optimization is a method for searching the best candidate solution to lessen or expand value of objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based sociology-based and human intelligence-based algorithms. Swarm-intelligence (SI) based appeared as commanding family optimization techniques. The paper aims commence brief review meta-heuristic especially Particle swarm (PSO) its sister variants in short. understudy...