A5095895694- Advanced Control Systems Design
- Microgrid Control and Optimization
- Advanced Control Systems Optimization
- Photovoltaic System Optimization Techniques
- Multilevel Inverters and Converters
- Sensorless Control of Electric Motors
- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Induction Heating and Inverter Technology
- Electric Motor Design and Analysis
- Electronic and Structural Properties of Oxides
- Physics of Superconductivity and Magnetism
- Catalytic Processes in Materials Science
- Frequency Control in Power Systems
- Magnetic Bearings and Levitation Dynamics
- Power Systems and Renewable Energy
- Advanced DC-DC Converters
- Iterative Learning Control Systems
- Islanding Detection in Power Systems
- Gas Sensing Nanomaterials and Sensors
- Advanced Algorithms and Applications
Sahand University of Technology
2024-2025
The imbalance between generated power and load demand often causes unwanted fluctuations in the frequency tie-line changes within a system. To address this issue, control process known as (LFC) is essential. This study aims to optimize parameters of LFC controller for two-area system that includes reheat thermal generator photovoltaic (PV) plant. An innovative multi-stage TDn(1 + PI) introduced reduce oscillations changes. combines tilt-derivative with an N filter (TDn) proportional-integral...
Power electronic converters are widely used in various fields of electrical equipment. Due to their fast dynamics and non-linear nature, controlling them requires dealing with complexities. Therefore, having a well-designed, high-speed, robust controller is critical ensure the effective operation these devices. In DC-DC converter, steady-state performance minimum error dynamic response relies on design. This paper presents design multi-stage PID an N-filter combined one plus proportional...
Abstract The escalating global population and energy demands underscore the critical role of renewable sources, particularly solar power, in mitigating environmental degradation caused by traditional fossil fuels. This paper emphasizes advantages energy, especially photovoltaic (PV) systems, which have become pivotal hybrid systems. However, accurate modelling identification PV cell parameters pose challenges, prompting adoption meta‐heuristic optimization algorithms. work explores...
Temperature regulation in nonlinear and highly dynamic processes such as the continuous stirred-tank heater (CSTH) is a challenging task due to inherent system nonlinearities disturbances. This study proposes novel metaheuristic-driven control strategy, combining two degrees of freedom-PID acceleration (2DOF-PIDA) controller with recently developed starfish optimization algorithm (SFOA) for temperature CSTH process. The 2DOF-PIDA enhances performance by decoupling setpoint tracking...
In this study, we introduce a novel method that can be seamlessly integrated into existing metacognitive algorithms, significantly enhancing their performance during both exploitation and exploration phases. This offers several advantages, including ease of implementation simplicity in calculations, which collectively accelerate convergence to the global minimum enhance algorithm's robustness. Notably, it effectively avoids local minima, ensuring algorithm does not become trapped....
The existence of imbalanced single- and two-phase loads, coupled with short-circuit faults, contributes to voltage imbalance. It is inevitable use LCL filters remove harmonics caused by converter switching. While effective in removing harmonic components, these may inadvertently amplify propagate resonance. Both imbalance active resonance significantly degrade power quality. This paper proposes a multi-level hierarchical control system mitigate both phenomena. At Level 1, the controller...