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Course Outline
Overview of Digital Substations
- Distinguishing between traditional and digital substations
- Essential elements of digital substations: IEDs, process bus, and station bus
- The IEC 61850 communication protocol
Modern Trends in Substation Design
- The impact of smart grids on contemporary power systems
- Advancements in substation automation and surveillance
- Incorporating renewable energy sources into substation design
AI Basics for Electrical Engineering
- Introduction to AI and machine learning principles
- Fundamentals of supervised, unsupervised, and reinforcement learning
- AI platforms and tools suited for engineering tasks
AI in the Design of Electrical Lines and Substations
- Refining substation configurations with AI
- AI-based load flow analysis and fault identification
- Power system stability evaluation using AI tools
AI for Predictive Maintenance and Fault Detection
- Machine learning models geared towards predictive maintenance
- Detecting irregularities and faults via AI algorithms
- Case studies: AI applications in fault detection and repair planning
Practical Exercises
- Deploying AI algorithms for substation optimization
- Applying Python for load flow and fault analysis
- Investigating MATLAB and PowerFactory for AI uses in power systems
Future Directions and Prospects
- The contribution of AI to the progression of digital substations
- Emerging technologies in smart grids and power networks
- Prospects for advanced study and specialization in AI and electrical engineering
Requirements
- Fundamental grasp of electrical engineering core principles
- Acknowledgment of substation workflows and design methodologies
- No previous exposure to AI is necessary
Target Participants
- Electrical engineers and specialists in substation design
- Experts in power system planning and grid management
- Professionals seeking AI-integrated approaches in electrical engineering
21 Hours
