Optimization of the fuel cell renewable hybrid power systems

Optimization of the fuel cell renewable hybrid power systems / Nicu Bizon.

This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers...

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Bibliographic Details
Main Author: Bizon, Nicu
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Series:Green energy and technology.
Subjects:
Hybrid power systems.
Renewable energy sources.
Hybrid power systems
Renewable energy sources
Online Access:Click for online access
Table of Contents:
  • Intro
  • Foreword
  • Preface
  • Contents
  • Abbreviations
  • 1 Introduction
  • 1.1 Sustainable Energy System Development Using Renewable Energy Sources and Hydrogen Infrastructure
  • 1.2 Proton Exchange Membrane Fuel Cell System
  • 1.3 Hybrid Power Systems
  • 1.4 Research Directions in Hybrid Power Systems
  • 1.5 Conclusion
  • References
  • 2 Hybrid Power Systems
  • 2.1 Introduction
  • 2.2 Hybrid Power System Architecture
  • 2.3 Energy Storage System (ESS)
  • 2.3.1 Hybrid ESS Topologies
  • 2.3.2 Modeling the Semi-active Hybrid ESS Topology
  • 2.3.3 Energy Storage Devices Technologies
  • 2.3.4 Power Storage Devices Technologies
  • 2.4 Proton Exchange Membrane Fuel Cell (PEMFC) System
  • 2.4.1 Modeling the PEMFC System
  • 2.4.2 Modeling the Fueling Regulators
  • 2.4.3 Modeling the Compressor
  • 2.5 Modeling the Renewable Energy Sources
  • 2.5.1 Modeling the Wind Turbine
  • 2.5.2 Modeling the Photovoltaic Panel
  • 2.5.3 Modeling of the Renewable Power Profile
  • 2.6 Modeling the Load Demand on the DC Bus
  • 2.7 Modeling the Power Converters
  • 2.8 The Performance Indicators Hybrid Power System
  • 2.8.1 Performance Indicators of the PEMFC System
  • 2.8.2 Performance Indicators of the Renewable Energy Sources
  • 2.9 Objectives and Directions of Research for the Hybrid Power System
  • 2.10 Conclusion
  • References
  • 3 Optimization Algorithms and Energy Management Strategies
  • 3.1 Introduction
  • 3.2 Energy Management Strategies
  • 3.2.1 Load-Based Strategy
  • 3.2.2 Power-Based Strategy
  • 3.3 Optimization Algorithms
  • 3.3.1 Performance of the Global Maximum Power Point Tracking Algorithms
  • 3.3.2 Performance of the Global Maximum Efficiency Point Tracking Algorithms
  • 3.3.3 Fuel Economy Algorithms
  • 3.4 Fuel Economy Strategy Using Switching of the Fueling Regulators
  • 3.4.1 Design for Fuel Economy
  • 3.4.2 Fuel Economy
  • 3.4.3 Discussion
  • 3.5 Strategy to Mitigate Load Impulses and Low Frequency Power Ripples
  • 3.5.1 Strategies Air-PFW and Fuel-PFW
  • 3.5.2 HSS Design
  • 3.5.3 HSS Control
  • 3.5.4 HSS Behavior
  • 3.6 Conclusion
  • References
  • 4 Global Extremum Seeking Algorithms
  • 4.1 Introduction
  • 4.2 Perturbed-Based Extremum Seeking Control
  • 4.2.1 PESC Algorithms Designed for Global Search
  • 4.2.2 Derivative-Based PESC Scheme for Global Search
  • 4.2.3 Global PESC Scheme Based on Two Band-Pass Filters
  • 4.3 Stability Analysis of the GaPESCbpf Scheme
  • 4.4 Comparative Analysis of the Schemes GaPESC and GaPESCd
  • 4.4.1 Modeling the GaPESC Scheme
  • 4.4.2 Stability Model of the GaPESC Scheme
  • 4.5 The Search Gradient Estimation
  • 4.5.1 Case of the 1-Dimension (1D) Pattern
  • 4.5.2 Case of the 2-Dimensions (2D) Pattern
  • 4.6 Designing the GaPESC Scheme
  • 4.6.1 Case of a Nonlinear System Modeled by a Multimodal Function
  • 4.6.2 Case of a Nonlinear System with a Fast Dynamic Part

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