ANN for Voltage Stability Monitoring and Enhancement : Application of Artificial Neural Networks for Online Voltage Stability Monitoring and Enhancement of an Electric Power System

Saikat Chakrabarti

ISBN 10: 3639036824 / ISBN 13: 9783639036824

Verlag: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008

Beschreibung

Neuware - Power system voltage stability is one of thechallenging problems faced by the utilities.Innovative methods and solutions are required toevaluate the voltage stability of a power system andimplement suitable strategies to enhance therobustness of the power system against voltagestability problems. This is the motivation behindthe research carried out as a part of the PhDprogram and presented in this dissertation. Thefirst two chapters of the book discuss thephenomenon of voltage instability in brief, andpresents an overview of the existing work. Next twochapters present the details of the innovativemethods developed in this research for onlinevoltage stability monitoring using ANN. In the nextchapter of the book, a sensitivity-based voltagestability enhancement method is proposed,considering multiple contingencies. Using thesensitivity information, correct amounts ofgeneration rescheduling are found by using linearoptimization.

Bestandsnummer des Verkäufers 9783639036824

Bibliografische Details

• Titel: ANN for Voltage Stability Monitoring and Enhancement : Application of Artificial Neural Networks for Online Voltage Stability Monitoring and Enhancement of an Electric Power System
• Verlag: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K.
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 3639036824
• ISBN-13: 9783639036824
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 9 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 9 mm
• Gewicht: 250 Gramm

Über diesen Titel

Inhaltsangabe

Power system voltage stability is one of the challenging problems faced by the utilities. Innovative methods and solutions are required to evaluate the voltage stability of a power system and implement suitable strategies to enhance the robustness of the power system against voltage stability problems. This is the motivation behind the research carried out as a part of the PhD program and presented in this dissertation. The first two chapters of the book discuss the phenomenon of voltage instability in brief, and presents an overview of the existing work. Next two chapters present the details of the innovative methods developed in this research for online voltage stability monitoring using ANN. In the next chapter of the book, a sensitivity-based voltage stability enhancement method is proposed, considering multiple contingencies. Using the sensitivity information, correct amounts of generation rescheduling are found by using linear optimization.