Download Computational Methods for Electric Power Systems, Second by Mariesa L. Crow PDF

By Mariesa L. Crow

""This is nice source fabric for a graduate scholar getting ready for a qualifying exam""
-- IEEE energy & strength journal


""This is nice source fabric for a graduate scholar getting ready for a qualifying exam""
-- IEEE strength & power journal

Show description

Read Online or Download Computational Methods for Electric Power Systems, Second Edition PDF

Similar power systems books

Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence

Utilized arithmetic for Restructured electrical energy platforms: Optimization, regulate, and Computational Intelligence contains chapters in keeping with paintings awarded at a countrywide technology starting place workshop prepared in November 2003. The subject of the workshop used to be using utilized arithmetic to unravel not easy strength method difficulties.

Dynamics of Saturated Electric Machines

This publication is because of the the author's paintings which was once initiated a few decade in the past and which, meanwhile, has ended in his Ph. D. Thesis and a number of other technical papers. The ebook bargains with actual modeling of electrical machines in the course of temporary and regular states, an issue which has been frequently refrained from within the literature.

Photovoltaik Engineering: Handbuch fur Planung, Entwicklung und Anwendung

In der Erstauflage stand die ingenieurmäßige Berechenbarkeit der Kennlinie des PV-Generators zur Lösung von Anpassungsproblemen im Vordergrund. In der zweiten Auflage wurde auf die Energie-Ertragsprognose von photovoltaischen Systemen zur Netzeinspeisung ausführlicher eingegangen und es wurden Methoden für Qualitätskontrolle und Ertragsgutachten vorgestellt.

Additional info for Computational Methods for Electric Power Systems, Second Edition

Example text

Initialize Q to the zero matrix. Let j = 1. 2. Set the j th column of Q (j th column of L) to the j th column of the reduced matrix A(j) , where A(1) = A, and (j) qkj = akj for k = j, . . 38) 3. If j = n, then stop. 4. Assuming that qjj = 0, set the j th row of Q (j th row of U ) as (j) qjk = ajk qjj for k = j + 1, . . 39) 5. Update A(j+1) from A(j) as (j+1) aik (j) = aik − qij qjk for i = j + 1, . . , n, and k = j + 1, . . 40) 6. Set j = j + 1. Go to step 2. 22 Computational Methods for Electric Power Systems This factorization algorithm gives rise to the same number of multiplications and divisions as Crout’s algorithm for LU factorization.

An iterative solution is one in which an initial guess (x0 ) to the solution is used to create a sequence x0 , x1 , x2 , . . that (hopefully) converges arbitrarily close to the desired solution x∗ . Three principal issues arise with the use of iterative methods, namely 1. Is the iterative process well defined? That is, can it be successively applied without numerical difficulties? 2. 1)? Is the solution the desired solution? 3. How economical is the entire solution process? The complete (or partial) answers to these issues are enough to fill several volumes, and as such cannot be discussed in complete detail in this chapter.

0 ⎢ ⎢ .. ⎢. ⎢ ⎢0 ⎢ ⎢. ⎣ .. 87) with properly chosen cn = cos(φ) and sn = sin(φ) for some rotation angle φ can be used to zero the element Aki . One of the difficulties with the GMRES methods is that as k increases, the number of vectors requiring storage increases as k and the number of multiplications as 12 k 2 n (for a n × n matrix). e. it can be restarted every m steps, where m is some fixed integer parameter. This is often called the GMRES(m) algorithm. GMRES(m) Algorithm for Solving Ax = b Initialization: Let k = 0, and r0 = Ax0 − b e1 = [1 0 0 .

Download PDF sample

Rated 5.00 of 5 – based on 18 votes