A5107972608- Microgrid Control and Optimization
- Smart Grid Energy Management
- Power Quality and Harmonics
- Photonic and Optical Devices
- Mobile Ad Hoc Networks
- Vehicular Ad Hoc Networks (VANETs)
- Adaptive Dynamic Programming Control
- Induction Heating and Inverter Technology
- Frequency Control in Power Systems
- Stability and Control of Uncertain Systems
- Smart Grid Security and Resilience
- Electric Motor Design and Analysis
- Advanced Fiber Laser Technologies
- Control Systems and Identification
- Power Systems Fault Detection
- Adaptive Control of Nonlinear Systems
- Opportunistic and Delay-Tolerant Networks
- Laser-Matter Interactions and Applications
- Advanced Electrical Measurement Techniques
- Magnetic Bearings and Levitation Dynamics
Max Planck Institute of Quantum Optics
2019
Ludwig-Maximilians-Universität München
2019
King Fahd University of Petroleum and Minerals
2012-2015
Globe University
2004
Precise delay control is of paramount importance in optical pump-probe measurements.Here, we report on a high-precision tracking technique for mechanical scanning measurements Mach-Zehnder interferometer configuration.The setup employs 1.55-µm continuous-wave laser beam propagating along the arms.Sinusoidal phase modulation at 30 MHz, and demodulation interference signal fundamental frequency its second harmonic, enables with sampling rates up to 10 MHz.At an arm length 1 m, root-mean-square...
Summary In this paper, the authors present a neural‐network‐based distributed secondary control to regulate output voltage and frequency of smart autonomous microgrid system. Generally, controller is implemented in centralized manner using fixed‐gain proportional‐plus‐integral which may perform well under certain operating conditions only. Also failure implies no action for entire The technique proposed paper one makes use neural network (NN) concept improve performance A well‐trained NN...
This paper presents the modeling, simulation and control aspects of four-quadrant switched reluctance motor (SRM) drives. The design SRM drive systems must be focused on application based appropriate engineering solutions needed to overcome practical issues. A complex model, incorporating important dynamics SRM, is described for physical simulation. simpler, but quite accurate, model presented controller. Various limitations have been incorporated in make it closer experimental set-up....
In this paper, reinforcement learning techniques are proposed for the control of autonomous microgrids. A type approximate dynamic programming method is used to solve Bellman equation, namely heuristic programming. The strategy based on actor-critic networks. designed using a model islanded microgrids and makes use an internal oscillator frequency control. technique value iterations algorithm which implemented online. Using only partial knowledge microgrid dynamics, simulation results showed...
Accurate power system monitoring plays a vital role in detection of supply problems within the grid. Of all parameters being monitored, rms based measurements are used to detect various voltage events system. IEEE and IEC standards utilize full cycle instantaneous samples repeated every half for calculation rms. These not without limitations especially short duration variations. This paper proposes 4-instantaneous sample points sampled at 90 degrees apart (quadrature rms) estimate further...
The problem of resilient stabilisation for a class continuous-time uncertain systems having norm-bounded parametric uncertainties is investigated. Both static and dynamic output-feedback controller design considered. goal to robustly quadratically stabilise the plant considering gain perturbations. Sufficient conditions existence output feedback controllers are derived in terms linear matrix inequalities. A numerical example each type illustrated demonstrate their effectiveness.