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Course Outline
Foundations of Digital Substations
- Comparing conventional and digital substation systems
- Essential components of digital substations: IEDs, process bus, and station bus
- The IEC 61850 communication standard
Contemporary Trends in Substation Design
- The impact of smart grids on modern power systems
- Advancements in substation automation and monitoring systems
- Incorporating renewable energy sources into substation design
AI Basics for Electrical Engineering
- Overview of AI and machine learning principles
- Introduction to supervised, unsupervised, and reinforcement learning
- Key AI tools and platforms for engineering use-cases
Applying AI to Electrical Lines and Substation Design
- Optimising substation layouts with the help of AI
- Using AI for load flow analysis and fault detection
- Conducting power system stability analysis using AI tools
AI for Predictive Maintenance and Fault Diagnosis
- Utilising machine learning models for predictive maintenance strategies
- Detecting anomalies and faults through AI algorithms
- Case studies: AI applications in fault detection and repair planning
Practical Exercises
- Deploying AI algorithms for substation optimisation
- Using Python for load flow and fault analysis
- Exploring MATLAB and PowerFactory for AI applications in power systems
Future Trends and Opportunities
- The role of AI in the progression of digital substations
- New technologies emerging in smart grids and power systems
- Prospects for further specialisation in AI and electrical engineering
Requirements
- Fundamental knowledge of electrical engineering concepts
- Working familiarity with substation workflows and design principles
- No previous experience with AI is necessary
Target Audience
- Electrical engineers and substation designers
- Power system planners and grid managers
- Professionals seeking to apply AI-driven solutions in electrical engineering
21 Hours
