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Networked Microgrids [Kõva köide]

  • Formaat: Hardback, 242 pages, kõrgus x laius x paksus: 250x175x17 mm, kaal: 600 g, Worked examples or Exercises
  • Ilmumisaeg: 06-May-2021
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1108497659
  • ISBN-13: 9781108497657
Teised raamatud teemal:
Networked MicrogridsSuurem pilt
  • Formaat: Hardback, 242 pages, kõrgus x laius x paksus: 250x175x17 mm, kaal: 600 g, Worked examples or Exercises
  • Ilmumisaeg: 06-May-2021
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1108497659
  • ISBN-13: 9781108497657
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781108497657.html
Märksõnad:
Discover scalable, dependable, and intelligent solutions to the challenges of integrating complex networked microgrids with this definitive guide to the development of cutting-edge power and data systems. Includes advanced fault management control and optimization to enable enhanced microgrid penetration without compromising reliability. Features SDN-based architectures and techniques to enable secure, reliable and fault-tolerant algorithms for resilient networked systems. Provides reachability techniques to facilitate a deeper understanding of microgrid resilience in areas with high penetration of renewables. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students interested in creating the next generation of data-intensive self-configurable networked microgrid systems, smart communities, and smart infrastructure.

Discover scalable, dependable, intelligent solutions for integrating complex networked microgrids with this definitive guide. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students.

Muu info

Discover scalable, dependable, intelligent solutions for integrating complex networked microgrids with this definitive guide.
Preface and Acknowledgments xi
Notation xiii
Part I Fundamentals 1(26)
1 Introduction
3(8)
1.1 Empowering Smart and Connected Communities through Microgrids and Networked Microgrids
3(1)
1.2 Challenges in Networked Microgrids
4(3)
1.3 Overview of Topics
7(1)
References
8(3)
2 Basics of Microgrid Control
11(16)
2.1 Microgrid Operation
11(2)
2.2 Microgrid Control
13(7)
2.2.1 Hierarchical Control Principle
13(2)
2.2.2 Droop Control for Microgrids
15(3)
2.2.3 Master-Slave Control
18(2)
2.2.4 Tertiary Control and Remedial Action Schemes
20(1)
2.3 Virtual Synchronous Generator
20(2)
2.4 A Note about DER Modeling
22(1)
References
23(4)
Part II Networked Microgrids 27(172)
3 Compositional Networked Microgrid Power Flow
29(14)
3.1 Challenges of Networked Microgrid Power Flow
29(1)
3.2 Compositional Power Flow
29(5)
3.2.1 ADPF for Individual Islanded Microgrids
30(1)
3.2.2 ASPF for Networked Microgrids
31(3)
3.2.3 ComPF Algorithm
34(1)
3.3 Test and Validation of Compositional Power Flow
34(8)
References
42(1)
4 Resilient Networked Microgrids through Software-Defined Networking
43(48)
4.1 Networking Microgrids
43(1)
4.2 Software-Defined Networking
44(7)
4.2.1 Why SDN
44(1)
4.2.2 SDN Architecture
44(2)
4.2.3 OpenFlow
46(2)
4.2.4 SDN-Based Microgrid Communication Architecture
48(3)
4.3 Distributed Power Sharing for Networked Microgrids
51(6)
4.3.1 Droop Control and DAPI Control
51(3)
4.3.2 The Global Layer of Active Power Sharing for Networked Microgrids
54(3)
4.4 SDN-Enabled Event-Triggered Communication
57(4)
4.4.1 Sharing Power with the Nearest Neighbors
57(1)
4.4.2 Event-Triggered Communication and Control through SDN
57(4)
4.5 The Cyberphysical Networked Microgrids Testbed
61(13)
4.5.1 Architecture of the Cyberphysical Networked Microgrids Testbed
61(2)
4.5.2 The Cyberphysical Simulator and Networked Microgrids Model
63(1)
4.5.3 Inside the Networked Microgrid Model
63(7)
4.5.4 Event-Triggered Communication through SDN
70(4)
4.6 Testing and Validation
74(11)
4.6.1 Study I: The Single-Event Scenario
76(7)
4.6.2 Study II: Multiple-Contingency Cases
83(2)
4.7 Conclusion and Guide for Future Applications
85(2)
References
87(4)
5 Formal Analysis of Networked Microgrids Dynamics
91(43)
5.1 Formal Methods
91(2)
5.2 Formal Analysis of Microgrid Dynamics
93(3)
5.2.1 Impact of Disturbances on the State Matrix
94(1)
5.2.2 Modeling Disturbances in Networked Microgrids
95(1)
5.3 Stability Margin Analysis on NMs
96(8)
5.3.1 Quasi diagonalized Gerggorin Theorem
96(2)
5.3.2 Stability Margin Calculation
98(6)
5.4 Distributed Formal Analysis (DFA)
104(1)
5.5 Partitioning a Large Networked Microgrids System
105(4)
5.5.1 N+M Decomposition
105(2)
5.5.2 Partitioning a Large NM System
107(1)
5.5.3 Modeling of Each Subsystem
108(1)
5.6 Implementation of DFA for Networked Microgrids Analysis
109(3)
5.6.1 Procedure of Calculation
109(1)
5.6.2 Distributed Algorithm and Data Exchange in DFA
110(2)
5.6.3 Implementation of DQG
112(1)
5.6.4 Stability Margin Assessment
112(1)
5.7 Testing and Validation of FA and DFA
112(20)
5.7.1 Reachable Set Calculation in FA
114(5)
5.7.2 Assessment of Stability Margin through FA Enhanced the Quasi diagonalized Gerggorin Technique
119(3)
5.7.3 DFA with System Decomposition
122(3)
5.7.4 DFA for Calculating Reachable Set
125(5)
5.7.5 DQG-Based DFA Approach to Probing the Stability Margin
130(2)
References
132(2)
6 Active Fault Management for Networked Microgrids
134(24)
6.1 Introduction
134(1)
6.2 Multifunctional AFM to Enable Microgrid Survivability
135(2)
6.3 Distributed AFM for Networked Microgrids
137(1)
6.4 Problem Formulation
137(2)
6.5 A Distributed Solution to AFM
139(6)
6.5.1 Basics of Lagrangian Relaxation
139(2)
6.5.2 Solving AFM Using Distributed and Asynchronous SLR
141(2)
6.5.3 Implementation of Distributed AFM on Multiple Computation Cores
143(2)
6.6 Testing and Validation
145(11)
6.6.1 Single-Line-to-Ground Fault
147(3)
6.6.2 Double-Line-to-Ground Fault
150(1)
6.6.3 Three-Phase-to-Ground Fault
151(5)
6.7 Conclusion
156(1)
References
156(2)
7 Cyberattack-Resilient Networked Microgrids
158(22)
7.1 Motivation
158(1)
7.2 Architecture of Software-Defined Active Synchronous Detection
159(2)
7.3 Defense against Cyberattacks on an SDN Network
161(2)
7.3.1 Update of the Host Tracking Service in an SDN Controller
161(1)
7.3.2 Defending Strategies
162(1)
7.4 Active Synchronous Detection in DER Controllers of NMs
163(3)
7.4.1 Probe Signals for Active Synchronous Detection
163(1)
7.4.2 Active Synchronous Detection on DER Controllers
163(1)
7.4.3 Detection Rules
164(2)
7.5 Test and Validation of Software-Defined Active Synchronous Detection
166(12)
7.5.1 SDASD Performance Verification on Cyberattacks Defense
166(6)
7.5.2 Effectiveness of Active Synchronous Detection on Power Bot Attacks
172(6)
References
178(2)
8 Networked DC Microgrids
180(19)
8.1 Overview of DC Microgrids
180(1)
8.2 Bipolar DC Microgrids
181(2)
8.3 Networked DC Microgrids
183(1)
8.4 Dynamic Modeling of DC Microgrids
183(9)
8.4.1 Implementation
186(5)
8.4.2 MIMO Tools for Stability and Interaction Analysis
191(1)
8.5 Stability and Mutual Interactions Analysis
192(5)
8.5.1 Local Interactions
192(2)
8.5.2 Mutual Interactions
194(3)
References
197(2)
Part III Prospect 199(23)
9 Software-Defined Distribution Network and Software-Defined Microgrids
201(14)
9.1 Motivation
201(2)
9.2 Software-Defined Distribution Network and Software-Defined Networked Microgrids
203(3)
9.3 Scalable and Resilient Network Management
206(2)
9.3.1 SDN-Enabled Communication Infrastructure
206(1)
9.3.2 Scalable and Distributed Real-Time Data Analytics Platform for SD2N
207(1)
9.4 Distributed Advanced Energy Management System
208(3)
9.4.1 SD2N-Enabled Distributed Distribution System State Estimation
209(1)
9.4.2 SD2N-Enabled Distribution Optimal Power Flow
209(1)
9.4.3 Resilience Engineering for Future Power Networks
209(2)
References
211(4)
10 Future Perspectives: Programmable Microgrids
215(7)
10.1 Smart Programmable Microgrids
216(1)
10.2 Evaluation of Programmable Microgrids
217(1)
10.3 Beyond Resilience
218(1)
References
219(3)
Index 222
Peng Zhang is an Associate Professor of Electrical and Computer Engineering at Stony Brook University.