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Course Outline
Introduction to Digital Substations
- Distinguishing between conventional and digital substations
- Key components: IEDs, process bus, and station bus
- Overview of 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 sources into substation design
AI Fundamentals for Electrical Engineering
- Basics of AI and machine learning concepts
- Foundations of supervised, unsupervised, and reinforcement learning
- Overview of AI tools and platforms for engineering use cases
AI in Designing Electrical Lines and Substations
- Optimizing substation layouts with AI
- AI-driven load flow analysis and fault detection techniques
- Conducting power system stability analysis using AI tools
AI for Predictive Maintenance and Fault Detection
- Building machine learning models for predictive maintenance
- Detecting anomalies and faults via AI algorithms
- Case studies: AI applications in fault detection and repair scheduling
Hands-on Exercises
- Implementing AI algorithms for substation optimization
- Performing load flow and fault analysis using Python
- Applying MATLAB and PowerFactory for AI solutions in power systems
Future Trends and Opportunities
- How AI is driving the evolution of digital substations
- Emerging technologies in smart grids and power systems
- Pathways for further specialization in AI and electrical engineering
Requirements
- A foundational grasp of electrical engineering principles.
- Familiarity with substation operations and core design concepts.
- No previous 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 in electrical engineering.
21 Hours
