Difference between Gauss Seidel and Fast Decoupled Load flow methods
Contents
Comparison between Gauss Seidel and Fast Decoupled
- The Key Difference between Gauss Seidel and Fast Decoupled are in the below comparison chart.

Comparison Chart
Gauss Seidel | Fast Decoupled | |
---|---|---|
Co-ordinates | Works well with rectangular coordinates. | Polar coordinates |
Arithmetical operations | Least in number to complete one iteration. | Less than Newton Raphson. |
Time | Requires less time per iteration, but increases with an increase in the number of buses. | Less time compared to NR and GS methods. |
Convergence | Linear convergence | Geometric convergence |
No. of iterations | A large number, increases with an increase in buses. | Only 2 to 5 iterations for practical accuracies. |
Slack bus selection | Choice of slack bus affects convergence adversely | Moderate |
Accuracy | Less accurate | Moderate |
Memory | Less memory because of the sparsity of the matrix. | Only 60% of memory when compared to NR method. |
Usage/application | Small size system | Optimization studies, multi-load flow studies, contingency evaluation for security assessment and enhancement. |
Programming Logic | Easy | Moderate |
Reliability | Reliable only for a small system. | More reliable than NR method. |
More Difference
- Difference between Gauss Seidel and Newton Raphson
- Difference between Fast Decoupled and Newton Raphson