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Course Outline
Introduction to Digital Substations
- Contrasting conventional and digital substation architectures
- Key elements of digital infrastructure: IEDs, process bus, and station bus
- The IEC 61850 communication protocol
Current Trends in Substation Design
- The impact of smart grids on contemporary power systems
- Advancements in substation automation and monitoring capabilities
- Incorporating renewable energy sources into substation design
AI Fundamentals for Electrical Engineering
- Core concepts of AI and machine learning
- Foundations of supervised, unsupervised, and reinforcement learning
- Relevant AI tools and platforms for engineering tasks
AI in Designing Electrical Lines and Substations
- Utilizing AI to optimize substation layout configurations
- Conducting AI-driven load flow analysis and fault detection
- Performing power system stability analysis with AI assistance
AI for Predictive Maintenance and Fault Detection
- Deploying machine learning models for predictive maintenance strategies
- Detecting anomalies and faults through AI algorithms
- Case studies on AI applications in fault detection and repair scheduling
Hands-on Exercises
- Practical implementation of AI algorithms for substation optimization
- Applying Python for load flow and fault analysis
- Utilizing MATLAB and PowerFactory for AI-powered power system applications
Future Trends and Opportunities
- The evolving role of AI in the advancement of digital substations
- Emerging technologies shaping smart grids and power systems
- Pathways for further specialization at the intersection of AI and electrical engineering
Requirements
- A foundational grasp of electrical engineering principles
- Basic familiarity with substation operations and design concepts
- No prior experience with AI is necessary
Target Audience
- Electrical engineers and substation designers
- Power system planners and grid operators
- Professionals seeking to apply AI-driven solutions within electrical engineering
21 Hours
