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Distributed Energy Management of Electrical Power Systems

Aus der Reihe IEEE Press Series on Power Engineering

156,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.01.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

352

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

666 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-53488-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.01.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

352

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

666 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-53488-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Distributed Energy Management of Electrical Power Systems
  • Produktbild: Distributed Energy Management of Electrical Power Systems
  • About the Authors xiii
     
    Preface xv
     
    Acknowledgment xix
     
    List of Figures xxi
     
    List of Tables xxxi
     
    1 Background 1
     
    1.1 Power Management 1
     
    1.2 Traditional Centralized vs. Distributed Solutions to Power Management 4
     
    1.3 Existing Distributed Control Approaches 5
     
    2 Algorithm Evaluation 9
     
    2.1 Communication Network Topology Configuration 9
     
    2.1.1 Communication Network Design for Distributed Applications 9
     
    2.1.2 N .1 Rule for Communication Network Design 11
     
    2.1.3 Convergence of Distributed Algorithms with Variant Communication Network Typologies 13
     
    2.2 Real-Time Digital Simulation 16
     
    2.2.1 Develop MAS Platform Using JADE 16
     
    2.2.2 Test-Distributed Algorithms Using MAS 18
     
    2.2.2.1 Three-Agent System on the Same Platform 18
     
    2.2.2.2 Two-Agent System with Different Platforms 19
     
    2.2.3 MAS-Based Real-Time Simulation Platform 20
     
    References 22
     
    3 Distributed Active Power Control 23
     
    3.1 Subgradient-Based Active Power Sharing 23
     
    3.1.1 Introduction 24
     
    3.1.2 Preliminaries - Conventional Droop Control Approach 26
     
    3.1.3 Proposed Subgradient-Based Control Approach 27
     
    3.1.3.1 Introduction of Utilization Level-Based Coordination 27
     
    3.1.3.2 Fully Distributed Subgradient-Based Generation Coordination Algorithm 28
     
    3.1.3.3 Application of the Proposed Algorithm 31
     
    3.1.4 Control of Multiple Distributed Generators 33
     
    3.1.4.1 DFIG Control Approach 33
     
    3.1.4.2 Converter Control Approach 34
     
    3.1.4.3 Pitch Angle Control Approach 35
     
    3.1.4.4 PV Generation Control Approach 36
     
    3.1.4.5 Synchronous Generator Control Approach 36
     
    3.1.5 Simulation Analyses 37
     
    3.1.5.1 Case 1 - Constant Maximum Available Renewable Generation and Load 38
     
    3.1.5.2 Case 2 - Variable Maximum Available Renewable Generation and Load 41
     
    3.1.6 Conclusion 45
     
    3.2 Distributed Dynamic Programming-Based Approach for Economic Dispatch in Smart Grids 46
     
    3.2.1 Introduction 46
     
    3.2.2 Preliminary 49
     
    3.2.3 Graph Theory 49
     
    3.2.4 Dynamic Programming 49
     
    3.2.5 Problem Formulation 49
     
    3.2.6 Economic Dispatch Problem 50
     
    3.2.7 Discrete Economic Dispatch Problem 50
     
    3.2.8 Proposed Distributed Dynamic Programming Algorithm 51
     
    3.2.9 Distributed Dynamic Programming Algorithm 52
     
    3.2.10 Algorithm Implementation 53
     
    3.2.11 Simulation Studies 54
     
    3.2.12 Four-generator System: Synchronous Iteration 54
     
    3.2.12.1 Minimum Generation Adjustment Deltapi = 2.5MW 54
     
    3.2.12.2 Minimum Generation Adjustment Deltapi = 1.25MW 57
     
    3.2.13 Four-Generator System: Asynchronous Iteration 59
     
    3.2.13.1 Missing Communication with Probability 59
     
    3.2.13.2 Gossip Communication 60
     
    3.2.14 IEEE 162-Bus System 61
     
    3.2.15 Hardware Implementation 63
     
    3.2.16 Conclusion 64
     
    3.3 Constrained Distributed Optimal Active Power Dispatch 65
     
    3.3.1 Introduction 65
     
    3.3.2 Problem Formulation 67
     
    3.3.3 Distributed Gradient Algorithm 68
     
    3.3.4 Distributed Gradient Algorithm 68
     
    3.3.5 Inequality Constraint Handling 70
     
    3.3.6 Numerical Example 72
     
    3.3.6.1 Case 1 72
     
    3.3.6.2 Case 2 74
     
    3.3.7 Control Implementation 75
     
    3.3.8 Communication Network Design 76
     
    3.3.9 Generator Control Implementation 76
     
    3.3.10 Simulation Studies 77
     
    3.3.11 Real-Time Simulation Platform 78
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