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Application of intelligent control algorithms to study the dynamics of hybrid power system

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of intelligent control algorithms to study the dynamics of hybrid power systemby Dipayan Guha ... [et al.].
other author:	Guha, Dipayan.
Published:	Singapore :Springer Singapore :2022.
Description:	xxvii, 197 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Hybrid power systemsControl.
Online resource:	https://doi.org/10.1007/978-981-19-0444-8
ISBN:	9789811904448$q(electronic bk.)

Application of intelligent control algorithms to study the dynamics of hybrid power system
Application of intelligent control algorithms to study the dynamics of hybrid power system[electronic resource] /by Dipayan Guha ... [et al.]. - Singapore :Springer Singapore :2022. - xxvii, 197 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4262198-4190 ;. - Studies in systems, decision and control ;v.3..

Introduction: Hybrid Distributed Power System (HDPS) -- Modeling of HDPS -- Optimization techniques -- Performance analysis of HDPS with conventional controllers -- Optimal and Modern Controller for HDPS -- Fuzzy logic controller for HDPS -- Non-integer controller and Estimation -- Sliding mode controller for HDPS -- Khartinovs theorem-Robustness study of the designed controller -- Model order reduction of HDPSModel order reduction of HDPS.

This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a "hybrid power system (HPS)" integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.

ISBN: 9789811904448$q(electronic bk.)

Standard No.: 10.1007/978-981-19-0444-8doiSubjects--Topical Terms:

925091
Hybrid power systems
--Control.

LC Class. No.: TK1041

Dewey Class. No.: 621.31

Application of intelligent control algorithms to study the dynamics of hybrid power system
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505 0 $a Introduction: Hybrid Distributed Power System (HDPS) -- Modeling of HDPS -- Optimization techniques -- Performance analysis of HDPS with conventional controllers -- Optimal and Modern Controller for HDPS -- Fuzzy logic controller for HDPS -- Non-integer controller and Estimation -- Sliding mode controller for HDPS -- Khartinovs theorem-Robustness study of the designed controller -- Model order reduction of HDPSModel order reduction of HDPS.
520 $a This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a "hybrid power system (HPS)" integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.
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