Smart Grids and Microgrids
- Resilient microgrid control
- Stability under renewable intermittency
- Real-time feasibility studies
Organized by technical domain, not only by publication year.
Each research theme connects current problems, methods, representative outputs, students, patents, publications, and available collaboration or PhD topics.
Theme Standard
Every domain is structured for research continuity.
Problem statementResearch motivationProposed approachesRepresentative resultsRelated publicationsCurrent scholarsAvailable PhD topicsCollaboration invitation
Domains
Research expertise mapped to methods and opportunities.
Microgrid control with storage-aware intelligence
Smart Grids and Microgrids
Distributed control, droop control, synthetic inertia, frequency support, and stability enhancement for grid-forming and hybrid microgrids.
- Virtual inertia emulation
- Power allocation
- Frequency regulation
- Grid-forming control
Prediction, equalization, and deployable storage control
Battery Energy Storage Systems
State estimation, degradation-aware prediction, battery equalization, and machine-learning diagnostics for storage-intensive energy systems.
- SoC and SoH estimation
- Wide neural networks
- Capacity degradation models
- Lifecycle prediction
Vehicle dynamics translated into controlled drivetrain behavior
Electric Vehicles
Electric drivetrain, torque control, converter control, battery management, and energy optimization for intelligent transportation systems.
- Dual-layer torque control
- Virtual inertia for EV charging
- Vehicle-to-grid modelling
- Smart parking systems
Converter hardware connected to intelligent command generation
Power Electronics
DC-DC converters, inverter design, grid-connected converters, PWM strategies, protection, and converter loss reduction.
- Topology selection
- Filter design
- Gate-driver validation
- Fault and stress analysis
Machine learning as an engineering decision layer
AI in Electrical Engineering
Machine-learning and predictive-control techniques for power systems, battery systems, fault localization, and renewable-energy control.
- Gaussian process regression
- Wavelet neural networks
- SVM and ANN
- Feature selection
From simulation plots to measured controller behavior
Real-Time Control
Rapid control prototyping and hardware validation using dSPACE DS1103, STM32, ARM Cortex, TI C2000, MATLAB, and Simulink.
- ControlDesk configuration
- ADC and PWM synchronization
- Embedded firmware
- Controller validation
Available Research Directions
PhD and collaboration topics that align with current strengths.
Battery Energy Storage Systems
- Fast coordinated equalization
- Battery health analytics
- Embedded BMS validation
Electric Vehicles
- EV charging microgrids
- Converter control for mobility
- Energy management in EV infrastructure
Power Electronics
- Bidirectional converters
- Grid-connected inverter validation
- Prototype-level power-stage review
AI in Electrical Engineering
- Fault detection
- Parameter estimation
- Predictive control
- Scientific figure and data interpretation
Real-Time Control
- Simulation-to-hardware mapping
- Closed-loop controller testing
- Real-time data logging
Structured Enquiry
Choose the right route before sending technical details.
Consultancy, PhD, internship, collaboration, and academic requests are separated so the first response can be faster and more useful.