Course Outline

Introduction to Digital Substations

  • Understanding conventional vs digital substations
  • Core components of digital substations: IEDs, process bus, and station bus
  • IEC 61850 communication standard

Current Trends in Substation Design

  • Role of smart grids in modern power systems
  • Innovations in substation automation and monitoring
  • Integration of renewable energy in substation design

AI Fundamentals for Electrical Engineering

  • Introduction to AI and machine learning concepts
  • Supervised, unsupervised, and reinforcement learning basics
  • AI tools and platforms for engineering applications

AI in Designing Electrical Lines and Substations

  • Optimizing substation layouts using AI
  • AI-driven load flow analysis and fault detection
  • Power system stability analysis with AI tools

AI for Predictive Maintenance and Fault Detection

  • Machine learning models for predictive maintenance
  • Identifying anomalies and faults using AI algorithms
  • Case studies: AI in fault detection and repair scheduling

Hands-on Exercises

  • Implementing AI algorithms for substation optimization
  • Using Python for load flow and fault analysis
  • Exploring MATLAB and PowerFactory for AI applications in power systems

Future Trends and Opportunities

  • The role of AI in the evolution of digital substations
  • Emerging technologies in smart grids and power systems
  • Opportunities for further learning and specialization in AI and electrical engineering

Summary and Next Steps

Requirements

  • A basic understanding of electrical engineering principles
  • Familiarity with substation operations and design concepts
  • No prior experience with AI is required

Audience

  • Electrical engineers and substation designers
  • Power system planners and grid operators
  • Professionals interested in AI-driven solutions for electrical engineering
 21 Hours

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