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Geometrical Methods for Power Network Analysis [electronic resource] / by Stefano Bellucci, Bhupendra Nath Tiwari, Neeraj Gupta.

By: Bellucci, Stefano [author.].
Contributor(s): Tiwari, Bhupendra Nath [author.] | Gupta, Neeraj [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XII, 97 p. 39 illus., 27 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642333446.Subject(s): Engineering | Engineering mathematics | Production of electric energy or power | Engineering | Power Electronics, Electrical Machines and Networks | Electronic Circuits and Devices | Appl.Mathematics/Computational Methods of Engineering | Mathematical Applications in the Physical Sciences | Complex NetworksDDC classification: 621.317 Online resources: Click here to access online
Contents:
Methodology -- Intrinsic Geometric Characterization -- A Test of Network Reliability -- A Test of Voltage Stability -- Phases of Power Network -- Phase Shift Correction -- Complex Power Optimization -- Large Scale Voltage Instability.
In: Springer eBooksSummary: This book is a short introduction to power system planning and operation using advanced geometrical methods. The approach is based on well-known insights and techniques developed in theoretical physics in the context of Riemannian manifolds. The proof of principle and robustness of this approach is examined in the context of the IEEE 5 bus system. This work addresses applied mathematicians, theoretical physicists and power engineers interested in novel mathematical approaches to power network theory.
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Methodology -- Intrinsic Geometric Characterization -- A Test of Network Reliability -- A Test of Voltage Stability -- Phases of Power Network -- Phase Shift Correction -- Complex Power Optimization -- Large Scale Voltage Instability.

This book is a short introduction to power system planning and operation using advanced geometrical methods. The approach is based on well-known insights and techniques developed in theoretical physics in the context of Riemannian manifolds. The proof of principle and robustness of this approach is examined in the context of the IEEE 5 bus system. This work addresses applied mathematicians, theoretical physicists and power engineers interested in novel mathematical approaches to power network theory.

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