Buch, Englisch, 352 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 666 g
ISBN: 978-1-119-53488-4
Verlag: Wiley
Go in-depth with this comprehensive discussion of distributed energy management
Distributed Energy Management of Electrical Power Systems provides the most complete analysis of fully distributed control approaches and their applications for electric power systems available today. Authored by four respected leaders in the field, the book covers the technical aspects of control, operation management, and optimization of electric power systems.
In each chapter, the book covers the foundations and fundamentals of the topic under discussion. It then moves on to more advanced applications. Topics reviewed in the book include:
- System-level coordinated control
- Optimization of active and reactive power in power grids
- The coordinated control of distributed generation, elastic load and energy storage systems
Distributed Energy Management incorporates discussions of emerging and future technologies and their potential effects on electrical power systems. The increased impact of renewable energy sources is also covered.
Perfect for industry practitioners and graduate students in the field of power systems, Distributed Energy Management remains the leading reference for anyone with an interest in its fascinating subject matter.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 Dyn
