By Arno Becker
Java-erfahrene Leser lernen in diesem Buch, hochwertige software program für die Android-Plattform zu entwickeln. Im ersten Teil des Buches lernt der Leser zunächst die grundlegenden Konzepte und Elemente von Android kennen. Im anschließenden Praxisteil kann er anhand eines durchgängigen Beispiels Schritt für Schritt die Entwicklung einer mobilen Anwendung nachvollziehen. Der dritte Teil bereitet Entwickler auf den professionellen und sicheren Einsatz von Android in der Praxis vor.
Die 2. Auflage wurde komplett auf die Android-Version 2 aktualisiert und um neue Themen erweitert (Live Folder, Kamera- und Video-Unterstützung, SMS senden und empfangen).
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Extra resources for Android 2: Grundlagen und Programmierung
However, if it increases too much, the system may diverge . 6 gives best convergence. In any case, the Gauss-Seidel technique convergence becomes progressively slower as the system size grows and subsequently it is not very much common to use for practical load flow studies or for general research studies including power flows in complex network. However, this method has the following advantages: 1. It is one of the easiest iterative methods in power flow studies since early days of computerized power flow analysis.
ZBus] is symmetric provided [YBus] is symmetric, which is very much usual in power network structure. However, [ZBus] is not sparse like [YBus] and is a full matrix containing nonzero elements (zero elements in [YBus] become nonzero elements in the corresponding [ZBus]) . 4 shows a 3-bus network. 1. Find [YBus] matrix while the shunt admittance is neglected. 1 Line data of the 3-bus 3-line power system Line no. 1. 2. 3. u. Since the given problem is a three-bus system, [YBus] matrix would be a 3 × 3 matrix.
34) 2 Load Flow Studies 34 In the power flow study, it is essential to solve a set of nonlinear equations for two unknown variables for every bus. 35) j=1 Vi j� = i k+1 Vi = , for i = 2, 3, . . 36) As V1 is known a priori, computations are to be performed for buses 2, 3, …, N. G–S algorithm convergence is slower and it is conventional to use acceleration factor for speeding up the convergence process. However, if it increases too much, the system may diverge . 6 gives best convergence.