To follow is a list of the areas of scope relating to sector integration grouped by each of our relevant global Study Committees
SC A1 Power generation and electromechanical energy conversion
• Improved monitoring, AI and diagnostics of electrical machines and associated equipment
• Application of AI techniques for electrical machine diagnostics
• Impact of variable frequency drives on motor design & performance
SC A2 Power Transformers and Reactors
• Digitalization in transformers and reactors
SC B1 Insulated cables
• Inverter based storage
• Digital twins of cable systems will allow for more dynamic load transfer.
• Increased sensor systems will reduce outages by focus on predictive maintenance.
• More automated supervision systems of cable tunnels/stations.
SC B2 Overhead lines
• Digital tools for diagnosis and monitoring
SC B3 Substations and electrical installations
• Integration of intelligence for substation Digitalization, including new digital technologies
SC B4 DC systems and power electronics
• Digitalization of DC systems and PE
SC B5 Protection and automation
• Digitalization of protection systems and substation automation and control architecture systems
• IEC 61850 based data modelling, protection, automation and control configuration and engineering
SC C1 Power system development and economics
• Digital applications for distribution / transmission / generation borders.
SC C2: Power system operation and control
• Demand response, integration of MMDG, flexibility, AI new applications.
SC C4 Power system technical performance
• Modelling and Dynamic Analysis of grid-following and grid-forming converters
• Offshore wind and energy islands performance
• Lightning protection of PV systems and wind farms
SC C5 Electricity markets and regulation
• Integration of new digital approaches
SC C6 Active distribution systems and distributed energy resources
• Smart Grid / Cities
• Distribution Systems Modernisation
• TSO/ DSO/ Customer interfaces
SC D1: Materials and emerging test techniques
• Digital tools for diagnosis and monitoring
SC D2: Information systems, telecommunications and cybersecurity
• Machine learning algorithms to improve asset lifecycle management.
• Use of artificial intelligence (AI) to enhance cybersecuritry posture of critical systems.