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Energy Transmission and Synchronization in Complex Networks - Mathematical Principles (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R3,377
Discovery Miles 33 770
Energy Transmission and Synchronization in Complex Networks - Mathematical Principles (Paperback, Softcover reprint of the...

Energy Transmission and Synchronization in Complex Networks - Mathematical Principles (Paperback, Softcover reprint of the original 1st ed. 2016)

Nicolas Rubido

Series: Springer Theses

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Loot Price R3,377 Discovery Miles 33 770 | Repayment Terms: R316 pm x 12*

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This work tackles the problems of understanding how energy is transmitted and distributed in power-grids as well as in determining how robust this transmission and distribution is when modifications to the grid or power occur. The most important outcome is the derivation of explicit relationships between the structure of the grid, the optimal transmission and distribution of energy, and the grid's collective behavior (namely, the synchronous generation of power). These relationships are extremely relevant for the design of resilient power-grid models. To allow the reader to apply these results to other complex systems, the thesis includes a review of relevant aspects of network theory, spectral theory, and novel analytical calculations to predict the existence and stability of periodic collective behavior in complex networks of phase oscillators, which constitute a paradigmatic model for many complex systems.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: August 2016
First published: 2016
Authors: Nicolas Rubido
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 117
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-319-37069-9
Categories: Books > Science & Mathematics > Physics > General
Books > Professional & Technical > Energy technology & engineering > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
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LSN: 3-319-37069-3
Barcode: 9783319370699

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