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Duration 21 hours
Course Outline
Introduction to Digital Substations
- Distinguishing between conventional and digital substations.
- Key components of digital substations, including 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 capabilities.
- Integrating renewable energy sources into substation design.
AI Fundamentals for Electrical Engineering
- An introduction to AI and machine learning concepts.
- Foundations of supervised, unsupervised, and reinforcement learning.
- Exploring AI tools and platforms suited for engineering applications.
AI in Designing Electrical Lines and Substations
- Optimizing substation layouts with the aid of 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
- Developing machine learning models for predictive maintenance.
- Using AI algorithms to identify anomalies and faults.
- Reviewing case studies on AI in fault detection and repair scheduling.
Hands-on Exercises
- Applying AI algorithms to optimize substation performance.
- Using Python for load flow and fault analysis tasks.
- Exploring MATLAB and PowerFactory for AI applications in power systems.
Future Trends and Opportunities
- The evolving role of AI in the development of digital substations.
- Emerging technologies shaping smart grids and power systems.
- Identifying opportunities for further specialization in AI and electrical engineering.
Requirements
- A foundational grasp of electrical engineering principles.
- Acquaintance with substation operations and 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 adopt AI-driven solutions in electrical engineering.
