PCPE 2026 invites original technical contributions in the broader areas of Power Conversion and Power Engineering.
Topics of interest span theoretical, methodological, system-level, and applied aspects, and include (but are not limited to):
Advanced Power Conversion Technologies
High-Efficiency Power Converters and Systems
Wide Bandgap Semiconductors in Power Electronics
Next-Generation Inverter and Rectifier Technologies
Smart Grids and Power System Automation
Smart Grid Architecture and Implementation
Demand Response and Load Balancing
Grid Modernization and Power System Automation
Renewable Energy Integration and Storage Solutions
Energy Storage Systems for Power Grid Stability
Challenges in Wind and Solar Power Integration
Hybrid Power Systems with Renewable and Storage Integration
Electric Vehicles (EV) and Vehicle-to-Grid (V2G) Systems
Power Conversion in Electric Vehicle Charging Systems
Vehicle-to-Grid Integration (V2G)
Power Electronics for Electric Vehicle Drive Systems
High Voltage Direct Current (HVDC) and Power Transmission
HVDC Transmission for Long-Distance Power Delivery
Ultra High Voltage (UHV) Transmission Systems
Power Loss Reduction and Voltage Regulation in Power Transmission
Power System Protection and Reliability
Advanced Protection Schemes for Power Systems
Power System Stability and Fault Detection
Cybersecurity for Power Systems
Energy Efficiency and Power Quality
Power Quality Management and Harmonics
Energy Efficiency in Power Conversion Systems
Grid Optimization for Power Quality Improvement
Emerging Materials and Technologies in Power Engineering
Advanced Materials for Power Equipment
Quantum Computing for Power Systems Optimization
Solid-State Transformers and Their Role in Future Power Grids
Power Electronics in Industrial Applications
Power Electronics in Industrial Motor Drives
Industrial Automation and Power Electronics
Energy Management Systems for Industrial Applications
Future Trends and Innovations in Power Engineering
Decentralized Energy Systems and Microgrids
Blockchain for Energy Trading and System Management
Artificial Intelligence and Machine Learning in Power Engineering