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Course Outline
Introduction to Digital Substations
- Understanding the differences between conventional and digital substations
- Key components of digital substations: IEDs, process bus, and station bus
- The IEC 61850 communication standard
Current Trends in Substation Design
- The impact of smart grids on modern power systems
- Advancements in substation automation and monitoring
- Incorporating renewable energy into substation design
AI Fundamentals for Electrical Engineering
- An overview of AI and machine learning concepts
- Basics of supervised, unsupervised, and reinforcement learning
- AI tools and platforms applicable to engineering
AI in Designing Electrical Lines and Substations
- Refining substation layouts with AI
- AI-assisted load flow analysis and fault detection
- Power system stability analysis using AI tools
AI for Predictive Maintenance and Fault Detection
- Machine learning models for predictive maintenance
- Detecting anomalies and faults via AI algorithms
- Case studies: AI applications in fault detection and repair scheduling
Practical Exercises
- Implementing AI algorithms to optimise substations
- 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
- Emerging technologies in smart grids and power systems
- Opportunities for further learning and specialisation in AI and electrical engineering
Requirements
- A foundational grasp of electrical engineering principles
- Knowledge of substation operations and design concepts
- No prior background in AI is necessary
Target Audience
- Electrical engineers and substation designers
- Power system planners and grid operators
- Professionals keen on adopting AI-driven solutions for electrical engineering
21 Hours
