⚡ MATLAB for Power Engineers: Data Analysis and Mathematical Modeling

⚡ MATLAB for Power Engineers: Data Analysis and Mathematical Modeling

Course Code: 7006-EL
Duration: 40 Hours (Theory + Practical)

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📘 Introduction & Description:

This course offers a comprehensive introduction to MATLAB as a powerful tool for data analysis, mathematical modeling, and simulation in electrical power engineering. Designed specifically for engineers and researchers in the power sector, the course integrates theory with practical applications to develop proficiency in using MATLAB and Simulink for solving real-world power system problems. Through hands-on exercises, participants will explore techniques in data visualization, system modeling, signal processing, and dynamic analysis.

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🎯 Course Objectives:

• To introduce the fundamentals of MATLAB and its application in engineering tasks.

• To develop participants’ ability to model and simulate dynamic power systems.

• To enhance analytical skills in processing, interpreting, and visualizing electrical data.

• To equip learners with the tools to design and analyze power systems using Simulink.

Course outlines:-

🧩 Module 1: Introduction to MATLAB Environment

Hours: 6
Topics Covered:

• Overview of MATLAB: Interface, Editor, Command Window, Workspace

• Basic Syntax and Commands

• Data Types and Variables

• Scripts and Functions

• Input/Output Operations: Reading from files (Excel, .mat, .txt), and writing results

• Best Practices for Code Structuring and Commenting

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🧩 Module 2: Data Analysis in MATLAB

Hours: 8
Topics Covered:

• Matrix and Array Operations

• Element-wise vs. Matrix Algebra

• Linear Algebra Functions: Inverse, Eigenvalues, Determinants

• Plotting Techniques:

  • 2D Plots: line, scatter, bar, area

  • 3D Plots: mesh, surf, contour

• Signal Processing Basics:

  • Filtering and FFT

  • Time-domain vs. Frequency-domain

• Statistical Analysis:

  • Mean, Median, Mode

  • Standard Deviation, Variance

  • Histograms and Box Plots

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🧩 Module 3: Mathematical Modeling and Simulation

Hours: 10
Topics Covered:

• Modeling Differential Equations

  • Symbolic Toolbox: solving symbolic equations

  • Numerical Methods: ode45, ode23, fsolve

• Introduction to Simulink

  • Building Blocks and Model Configuration

  • Continuous and Discrete Systems

• System Response Analysis:

  • Step, Impulse, and Frequency Responses

  • Stability and Poles/Zeros

  • Time-Domain and Frequency-Domain Simulations

• Parameter Tuning and Model Validation

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🧩 Module 4: Power System Applications in MATLAB

Hours: 10
Topics Covered:

• Load Flow Analysis using MATLAB Scripts

• Creating Y-Bus Matrix and Solving Power Flow Equations

• Fault Analysis:

  • Symmetrical and Unsymmetrical Faults

  • Fault Currents and Voltages

• Stability Analysis:

  • Small Signal Stability

  • Rotor Angle and Voltage Stability

• MATLAB vs. Power System Specialized Tools (ETAP/DIgSILENT): when to use what

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🧩 Module 5: Practical Projects and Case Studies

Hours: 6
Topics Covered:

• Project 1: Simulating a Load Flow Analysis for a Small Power Grid

• Project 2: Modeling a Dynamic Synchronous Generator and Evaluating Its Transient Response

• Project 3 (Optional): Analyzing the Impact of Renewable Integration on Grid Stability

• Data Analysis of Real Power System Measurements

• Reporting and Presenting Results from MATLAB

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📚 What You Will Learn:

• Basics of MATLAB programming and data structures

• Matrix operations and linear algebra tools

• Data visualization using 2D and 3D plotting techniques

• Statistical analysis and digital signal processing

• Mathematical modeling using differential equations

• Power flow and fault analysis in MATLAB

• Dynamic system simulation using Simulink

• Real-world project development and case studies in power engineering

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👥 Target Audience:

• Electrical power engineers

• Power system analysts and planners

• Graduate students in electrical engineering

• Energy researchers and technical consultants

• Professionals working in smart grids and utility sectors

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🧰 Course Materials:

• Official course manual and lab exercises

• Sample MATLAB scripts and Simulink models

• Access to MATLAB and Simulink (trial or academic license recommended)

• Supplementary case study datasets and references

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🧑‍🏫 Instruction Methods:

• Interactive lectures and live demonstrations

• Hands-on lab sessions and real-time coding

• Group projects and simulations

• Problem-solving workshops and quizzes

• Case study discussions

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⏱️ Time Frame:

Total Duration: 40 Training Hours

• 20 Hours: Theoretical Concepts

• 20 Hours: Practical and Simulation Labs

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🖥️ Course Format:

• On-site or Online Live Sessions

• Bilingual Support (Arabic/English, if required)

• Recorded sessions for revision (optional)

• Project-based learning and collaborative workspaces

• Digital certificates upon successful completion

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🏁 Learning Outcomes:

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

• Confidently use MATLAB and Simulink for engineering tasks

• Perform advanced data analysis and signal processing

• Build and simulate mathematical models of power systems

• Conduct load flow, fault, and stability analysis

• Apply MATLAB tools to enhance performance and reliability in power networks

🎯 Assessment and Review

• Quizzes and Coding Assignments

• Group Simulation Project

• Final Assessment Report

• Interactive Review and Q&A Session

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✅ Learning Outcomes

By the end of this course, participants will be able to:

• Efficiently use MATLAB and Simulink for power system modeling

• Analyze large datasets and perform statistical evaluations

• Simulate and interpret system dynamics, stability, and electrical faults

• Apply mathematical models to real-world electrical engineering problems

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