Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System

by Guha, Dipayan

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Title Statements

Full title :Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System.

Edition Statements

Publication Date:©2022.

Publication Statements

Publisher(s):Springer Singapore Pte. Limited
Place of Publication:Singapore
Language:eng
Publication Date:©2022.

The Physical Object

Description:1 online resource (216 pages).

Edition Identifiers

ISBN:9789811904448, 9811904448
oclc:on1317455706
LC Classification:TJ212-225
Dewey Decimal:621.312

Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- References -- 2 Small-Signal Stability Modelling of Hybrid Power System -- 2.1 Introduction -- 2.2 Small-Signal Stability Model of Interconnected Two-Area Power System -- 2.3 Wind Power System (WPS) -- 2.3.1 Wind Aerodynamic -- 2.3.2 Mechanical Coupling Shaft -- 2.3.3 Generator Model -- 2.4 Solar Photovoltaic (PV) Model -- 2.5 Diesel Engine Generator (DEG) -- 2.6 Aqua-electrolyzer (AE) and Fuel Cell (FC) -- 2.7 Hybrid Wind-Diesel Power System (hy-WD-PS) -- 2.8 Modelling of Power System Nonlinearities -- 2.8.1 Governor Dead-Band (GDB) -- 2.8.2 Generation Rate Constraint (GRC) -- 2.8.3 Modelling of Time-Lag Employing Pade Approximation -- 2.8.4 Boiler Dynamics (BD) -- 2.9 Conclusion -- References -- 3 Optimization Techniques -- 3.1 Introduction -- 3.2 Swarm Intelligence Algorithms: A Brief Description and Modelling -- 3.2.1 Grey Wolf Optimization (GWO) -- 3.2.2 Crow Search Algorithm (CSA) -- 3.2.3 Grasshopper Optimization Algorithm (GOA) -- 3.2.4 Dragonfly Algorithm (DA) -- 3.2.5 Salp Swarm Algorithm (SSA) -- 3.2.6 Marine Predators Algorith…