Power systems have experienced a significant transformation all over the world. Productivity has been improved with the help of modern power electronics. Modeling and simulation of power electronics is the most important element for modern smart grid and renewable energy systems. The penetration of power electronic devices interfaced with the smart grid and renewable energy systems strongly characterize the conventional power systems.

Power electronics use high power, high efficiency semiconductor devices to convert DC to AC, AC to DC, and to control the electrical power. The converters are widely employed in commercial, manufacturing, transportation, and other utility systems. Modern industrial automation achieved through the modern power electronic devices include renewable energy systems like solar photovoltaics (PV), wind power systems, electric and hybrid vehicles, and energy storage systems. The control of power electronic converters with the use of artificial and deep learning techniques can achieve optimum design, energy management control, and reliability in the smart grid.

This Special Issue aims to collate papers that describe computational intelligence techniques for model-free control and fault diagnosis in the following application domains: electric power systems, power generators and power electronics, photovoltaic units, fuel cells units, synchronous generators, permanent magnet synchronous generators, doubly-fed induction generators, doubly- fed reluctance generators, gas-turbine electric power units, hybrid-excited synchronous generators, steam-turbine electric power units, wind-turbine electric power units, hydropower generators, multi-phase generators, distributed electric power transmission and distribution systems, power electronics such as DC-DC converters, DC-AC inverters, AC-DC converters, DC-AC inverters and active power filters, power transformers, batteries and capacitors, VSC-HVDC transmission systems, and components of the smart grid. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Mathematical modeling and simulation of power electronic converters
• Modeling and simulation of power electronic converters in renewable energy systems using artificial intelligence techniques
• Deep learning-based mathematical model of HVDC transmission systems with simulation
• Artificial intelligent techniques for modeling control and simulation of battery energy storage systems
• Power electronics applications in energy storage
• Simulation of wind turbine generators
• Grid simulation and power hardware in the loop
• Numerical simulation analysis of photo voltaic and energy storage systems
• FPGA-based embedded real time simulation of electrical smart grid
• Modeling and control of standalone PV systems
• Device-level real-time modeling and simulation of power electronic converters
• Cyber physical systems: modeling, simulation, and validation
• Modeling and control tools for grid-to-vehicle or vehicle-to-grid integration
• Power electronics applications in hybrid and electric vehicles
• Power electronics applications in uninterruptible power supply