2. Overview
๏ต Fast decoupled load flow
๏ต Why FDLF?
๏ต Flowchart
๏ต Program
๏ต Output
๏ต Conclusion
๏ต Reference
3. Fast decoupled load flow
๏ต Algorithm is based on Newton-Raphson method.
๏ต When transmission lines has a high X/R ratio, the newton Raphson could be
further simplified.
๏ต Consider the Newton-Raphson load flow equation:
๏ต โ๐ are less sensitive to โ|๐| and more sensitive to โ๐ฟ.
๏ต โ๐ are less sensitive to โ๐ฟ and more sensitive to โ|๐| .
๏ต So, N and J elements can be eliminated.
โ๐
โ๐
=
๐ป ๐
๐ฝ ๐ฟ
โ๐ฟ
โ|๐|
............(1)
4. cos๐ฟ๐๐ โ 1, sin๐ฟ๐๐ โ 0
G๐๐ sin๐ฟ๐๐<<B๐๐, and Q๐<<B๐๐|V๐|2
With these assumptions H and L are square submatrices of dimension (n-
1) and (m-1) respectively are:
For i = k, H๐๐=L ๐๐ โ
- B๐๐|V๐|2
For iโ ๐, H๐๐=L ๐๐ โ- |V๐| |V ๐| B๐๐
With further simplification,the matrix equation for the solution of load
flow by FDLF method are:
โ๐/|๐| = ๐ตโฒ โ๐ฟ โฆโฆโฆ..(2)
โ๐/|๐| = ๐ตโฒโฒ โ|๐| โฆ โฆ โฆ . (3)
Where, Bโ and Bโ are matrices of elements -B๐๐(i=2,โฆ..n and k=2,โฆ.n)
and -B๐๐(i=2,โฆ..,m and k=2,โฆ.,m).
5. Why FDLF?
๏ต For practical accuracies, only 2-5 iterations are required.
๏ต More reliable than NR method
๏ต Speed is 5 times that of NR method
๏ต Storage requirement is 60 percent of NR
๏ต Constant jacobian
๏ต Physically justifiable assumptions
9. Conclusion
๏ต Due to constant jacobian, defining functions are not sensitive to any humps.
๏ต It can be employed in optimization studies.
๏ต Used for obtaining information of both real and reactive power for multiple
load flow studies.
10. References
๏ต M. A.PAI , Computer Techniques in Power System Analysis.
๏ต D.P. Kothari, Modern Power System Analysis .