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Course Outline
Introduction to Digital Substations
- Differentiating between conventional and digital substation architectures.
- Essential components of digital substations: IEDs, process bus, and station bus.
- An 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 real-time monitoring.
- Incorporating renewable energy sources into substation design.
AI Fundamentals for Electrical Engineering
- Foundational concepts in Artificial Intelligence and Machine Learning.
- Basics of supervised, unsupervised, and reinforcement learning.
- Overview of AI tools and platforms relevant to engineering applications.
AI in Designing Electrical Lines and Substations
- Optimising substation layouts with AI assistance.
- Performing AI-driven load flow analysis and fault detection.
- 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 using advanced AI algorithms.
- Reviewing case studies on AI in fault detection and repair scheduling.
Hands-on Exercises
- Practically implementing AI algorithms for substation optimisation.
- Utilising 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 progression of digital substations.
- Emerging technologies shaping smart grids and power systems.
- Pathways for further learning and specialisation in AI and electrical engineering.
Requirements
- A solid grasp of fundamental electrical engineering principles.
- Working knowledge of substation operations and design concepts.
- No previous experience with AI is necessary to join this course.
Target Audience
- Electrical engineers and specialists in substation design.
- Power system planners and grid operators.
- Professionals seeking to integrate AI-driven solutions into electrical engineering workflows.
21 Hours
