Course Details

Objective

By the end of the course, participants will be able to understand

• Understand the role of digital tools in the analysis of electrical systems.
• Learn how to apply numerical methods to model and simulate electrical circuits and systems.
• Gain knowledge of digital signal processing (DSP) techniques for analyzing electrical signals.
• Understand the use of simulation software for electrical system analysis and optimization.
• Learn how to integrate digital analysis methods with traditional electrical engineering approaches.
• Apply digital analysis techniques to solve real-world electrical engineering problems.

Content

Day 1: Introduction to Digital Analysis in Electrical Systems

• Overview of digital analysis in electrical engineering
• Role of digital tools in circuit and system analysis
• Introduction to numerical methods and digital simulation techniques
• Overview of key software tools for electrical system modeling (e.g., MATLAB, Simulink)
• Comparison between traditional and digital analysis methods

Day 2: Digital Circuit Analysis and Simulation

• Digital representation of electrical circuits: binary and logic representations
• Using digital tools to analyze DC and AC circuits
• Simulation techniques for resistive, capacitive, and inductive circuits
• Introduction to circuit solvers and simulation software
• Hands-on practice with digital circuit simulation tools

Day 3: Power System Analysis Using Digital Tools

• Modeling and analysis of power systems with digital methods
• Load flow analysis and optimization
• Fault analysis and protection systems using digital tools
• Voltage and current analysis in power distribution networks
• Introduction to dynamic simulation in power systems

Day 4: Digital Signal Processing (DSP) in Electrical Systems

• Basics of digital signal processing and its application in electrical systems
• Frequency domain analysis and filtering techniques for electrical signals
• Techniques for noise reduction, signal enhancement, and distortion analysis
• Digital analysis of harmonics and power quality in electrical systems
• Practical applications of DSP in control and monitoring systems

Day 5: Integration and Practical Applications of Digital Analysis

• Integrating digital analysis techniques with physical systems
• Real-world case studies: fault detection, system optimization, and performance enhancement
• Using digital analysis for predictive maintenance and condition monitoring
• Best practices for modeling, simulation, and optimization of electrical systems
• Future trends and advancements in digital analysis for electrical systems

NOTE:

Pre-& Post Tests will be conducted.

Case Studies, Group Exercises, Group Discussions, Last Day reviews, and assessments will be carried out.

Methodology

A highly interactive combination of lectures and discussion sessions will be managed to maximize the amount and quality of information and knowledge transfer. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. You will also be encouraged to raise your own questions and to share in the development of the right answers using your own analysis and experiences.  Tests of multiple-choice type will be made available on daily basis to examine the effectiveness of delivering the course.

Very useful Course Materials will be given.

• 30% Lectures
• 30% Workshops and work presentation
• 20% Group Work& Practical Exercises
• 20% Videos& General Discussions