Design of Robust Power System Stabilizers

Mahendra Kumar

ISBN 10: 6202064927 / ISBN 13: 9786202064927

Verlag: LAP LAMBERT Academic Publishing Jan 2018, 2018

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch.

Bestandsnummer des Verkäufers 9786202064927

Bibliografische Details

• Titel: Design of Robust Power System Stabilizers
• Verlag: LAP LAMBERT Academic Publishing Jan 2018
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 6202064927
• ISBN-13: 9786202064927
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 9 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 9 mm
• Gewicht: 215 Gramm

Über diesen Titel

Inhaltsangabe

The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations.