Syllabus

Module 1: MATLAB/Python Programming (2 Sessions)
• Introduction to MATLAB/Python for power system simulations
• Basic programming and script writing
Module 2: Load Flow Analysis - Gauss-Seidel Method (2 Sessions)
• Implementation of Gauss-Seidel Load Flow Method
• Analysis of convergence and accuracy
Module 3: Load Flow Analysis - Newton-Raphson and Fast Decoupled Methods (2 Sessions)
• Implementation of Newton-Raphson Load Flow Method
• Fast Decoupled Load Flow Analysis
Module 4: Fault Analysis (1 Session)
• Simulation of balanced faults in power systems
• Short circuit current calculations
Module 5: Power System Dynamics (2 Sessions)
• Transient stability analysis using swing equation
• Multi-machine system dynamics and stability

To learn MATLAB/Python programming

To simulate steady state and dynamics of power system.

To simulate short circuit analysis.

At the end of the course, students will be able to:

1. Design MATLAB/Python programs to perform specified tasks.
2. Analyze the steady-state behavior of power systems using the Gauss-Seidel load flow method.
3. Analyze the steady-state behavior of power systems using the Newton-Raphson or Fast Decoupled load flow methods.
4. Investigate the behavior of power systems during faults.
5. Analyze the transient behavior of power systems during disturbances.

Jos Arrillaga and C. P. Arnold, Computer Analysis of Power Systems, Wiley

KOTHARI, D. P., DHILLON, J. S., POWER SYSTEM OPTIMIZATION, PHI Learning