Area of research
Control and Systems Engineering · Electrical and Electronic Engineering
Research interest
Research topics from publications: Role of Power Hardware in the Loop in Modeling and Simulation for Experimentation in Power and Energy Systems; Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices; Predictive Control for Energy Management in Ship Power Systems Under High-Power Ramp Rate Loads; Application of Artificial Intelligence to Real-Time Fault Detection in Permanent-Magnet Synchronous Machines; Power Flow Control and Network Stability in an All-Electric Ship; Real-Time Emulation of a High-Speed Microturbine Permanent-Magnet Synchronous Generator Using Multiplatform Hardware-in-the-Loop Realization; Robust adaptive droop control for DC microgrids; Real-Time Emulation of Switched Reluctance Machines via Magnetic Equivalent Circuits; Application of artificial intelligence to stator winding fault diagnosis in Permanent Magnet Synchronous Machines; Distributed energy management for ship power systems with distributed energy storage. Representative work: The area of modeling and simulation is a critical aspect in the basic research to commercialization and instantiation cycle. This paper reports on modeling and simulation in the context of verification, validation, and experimentation of power and energy systems and associated electrical apparatus via the utilization of power hardware in the loop (PHIL)-based strategies. PHIL is a powerful technique for testing and demonstration of systems in a rigorous and dynamic manner that is not achievable with other methodologies; however, it must only be conducted with foreknowledge of the technique and its challenges in order to realize its significant benefits. This paper reports on the state of the This paper proposes a stochastic framework for the optimal operation and management of hybrid ac-dc microgrids (MGs) in the presence of renewable energy sources (RESs) and storage devices. Hybrid ac-dc MGs can provide benefit over the traditional ac MGs by elimination of inverting equipment and reducing power losses caused by the ac-dc convertors. A stochastic load flow based on an unscented transform is employed to model the uncertainties of active and reactive loads, market power price, wind turbine, and photovoltaic output power. Additionally, a new powerful optimizer based on crow search algorithm (CSA) is devised to search the problem space. The proposed method uses a new two stage modi
Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch
Distributed energy management for ship power systems with distributed energy storage
Optimal energy-emission management in hybrid AC-DC microgrids with vehicle-2-grid technology
Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model
MPC-Based Distributed Control for Intelligent Energy Management of AC Microgrids
An Evidence Theory Based Advisory Layer for All-Electric Ship Power Systems
Real-time Resiliency Assessment of Control Systems in Microgrids Using the Complexity Metric
Large-Scale Distributed Control for MVDC Ship Power Systems
Distributed Power Management Implementation for Zonal MVDC Ship Power Systems
Analysis of Linear Interface Algorithms for Power Hardware- in - the- Loop Simulation
Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices
Predictive Control for Energy Management in Ship Power Systems Under High-Power Ramp Rate Loads
Robust adaptive droop control for DC microgrids
Enhanced performance of PV power control using model predictive control
Distributed control implementation for zonal MVDC ship power systems
Predictive energy management for MVDC all-electric ships
An Effective Fuzzy Feature Selection and Prediction Method for Modeling Tidal Current: A Case of Persian Gulf
Coordinating multiple energy storages using MPC for ship power systems
Centralized MPC for multiple energy storages in ship power systems
Evaluation framework for power and energy management shipboard distribution controls
High impedance fault detection utilizing real-time complexity measurement
Dynamic Behavioral Observation in Power Systems Utilizing Real-Time Complexity Computation
Distributed adaptive control design for cluster of converters in DC distribution systems
Predictive Control for Energy Management in Ship Power Systems under High-power Ramp Rate Loads
Evaluation of the Interface Accuracy for Power Hardware-in-the-Loop Experiments
Distributed power management for DC distribution system with model uncertainties
Optimal sensor placement for MVDC ship power system
Seamless inverter control scheme for shore-to-ship application
Steady-state stability analysis of regular circulant grids
Real-Time Emulation of Switched Reluctance Machines via Magnetic Equivalent Circuits