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Course Outline
Foundations of Digital Substations
- Distinguishing between conventional and digital substation models
- Essential components: IEDs, process bus, and station bus
- The IEC 61850 communication standard
Modern Developments 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 architectures
AI Basics for Electrical Engineering
- Overview of AI and machine learning principles
- Foundations of supervised, unsupervised, and reinforcement learning
- AI tools and platforms suitable for engineering contexts
AI in Electrical Line and Substation Design
- Optimizing substation layouts through AI
- Conducting load flow analysis and fault detection using AI
- Performing power system stability analysis with AI tools
AI in Predictive Maintenance and Fault Detection
- Machine learning models tailored for predictive maintenance
- Detecting anomalies and faults via AI algorithms
- Real-world examples: AI in fault identification and repair planning
Practical Exercises
- Building AI algorithms for substation efficiency
- Applying Python for load flow and fault analysis
- Using MATLAB and PowerFactory for AI-driven power system applications
Future Prospects and Career Pathways
- The influence of AI on the progression of digital substations
- New technologies emerging in smart grids and power systems
- Opportunities for advanced study and specialization in AI and electrical engineering
Requirements
- A foundational grasp of electrical engineering fundamentals
- Knowledge of substation operations and design principles
- No previous background in AI is necessary
Target Audience
- Electrical engineers and specialists in substation design
- Professionals in power system planning and grid operations
- Individuals seeking to apply AI-driven strategies to electrical engineering challenges
21 Hours
