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Duration 21 hours
Course Outline
Introduction to Digital Substations
- Distinguishing between conventional and digital substations
- Key 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 Fundamentals for Electrical Engineering
- Overview of AI and machine learning concepts
- Basics of supervised, unsupervised, and reinforcement learning
- AI tools and platforms suited for engineering applications
AI in Designing Electrical Lines and Substations
- Optimising substation layouts with AI
- Conducting AI-driven load flow analysis and fault detection
- Performing power system stability analysis using AI tools
AI for Predictive Maintenance and Fault Detection
- Applying machine learning models for predictive maintenance
- Utilising AI algorithms to identify anomalies and faults
- Case studies: AI applications in fault detection and repair scheduling
Practical Exercises
- Implementing 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 evolution of digital substations
- Emerging technologies in smart grids and power systems
- Opportunities for continued learning and specialisation in AI and electrical engineering
Requirements
- A foundational understanding of electrical engineering principles
- Acknowledgement of substation operational workflows and design concepts
- No previous experience with AI is necessary
Target Audience
- Electrical engineers and substation designers
- Power system planners and grid operators
- Professionals keen on exploring AI-driven solutions within electrical engineering
