Power flow studies using Jacobi and Gauss Seidel

Click For Summary
SUMMARY

This discussion focuses on conducting power flow studies using the Jacobi and Gauss-Seidel methods within MATLAB. The user seeks to visualize the convergence of solutions in a power network and is considering using Excel for graphical analysis, despite concerns about its limitations with complex elements. Participants recommend using GNU Octave as a free alternative to MATLAB and suggest providing graphs of maximum mismatch versus iteration number to illustrate convergence effectively.

PREREQUISITES
  • Understanding of power flow analysis in electrical networks
  • Familiarity with iterative methods, specifically Jacobi and Gauss-Seidel
  • Basic knowledge of MATLAB or GNU Octave for computational analysis
  • Graphing techniques for visualizing convergence and mismatch
NEXT STEPS
  • Learn how to implement Jacobi and Gauss-Seidel methods in MATLAB
  • Explore GNU Octave as a MATLAB alternative for power flow studies
  • Research methods for graphing maximum mismatch versus iteration number
  • Investigate the use of Powerworld for analyzing complex power systems
USEFUL FOR

Electrical engineers, power system analysts, and students involved in power flow studies and iterative method applications in MATLAB or GNU Octave.

Bourbon daddy
Messages
24
Reaction score
0
I have been asked to solve the actual load flow distribution in a given power network using two iterative methods. I have chosen Jacobi and Gauss Seidel.

we have to use MATLAB to find where the solution converges.

I am fine with all of this, but we have been tasked with providing graphical analysis of the results.

I am new to MATLAB, so would prefer to use excel as I can do this at home, but i am unsure as to how a graph would be shown and the purpose in showing it?

What would I provide a graph of? Where the solution converges for each of the nodes?

Can anyone offer some insight into this.

regards
 
Engineering news on Phys.org
Do you have complex elements in the matrix? If so, Excel will let you down. GNU Octave is free and similar to MATLAB. If you are working with power flow, you could also get a student version of Powerworld. It will analyze these types of systems as well.

Are these large, real world systems or simply a smaller class type problem? Perhaps you can crank out on a good graphing calculator such as a Ti-89 or any Hp graphing calculator (the Ti-83/84 is not capable of this).
 
Bourbon daddy said:
What would I provide a graph of?

i'd see what these folks use

http://fnetpublic.utk.edu/gradientmap.html

check their contact page. Knoxville Tennessee is the friendiest place i ever visited.
 
Last edited by a moderator:
You want a graph of maximum mismatch versus iteration number.

At each bus, add the complex power flows in and out. They should sum to zero. The actual sum is the mismatch. The interactions cease when the maximum mismatch falls below the tolerance.

By the way, CPU time rather than iteration count is a more meaningful number.
 

Similar threads

Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
6K
Replies
61
Views
9K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
6
Views
4K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 11 ·
Replies
11
Views
1K