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El. knyga: Energy Storage for Power System Planning and Operation

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(John Wiley & Sons Singapore Pte. Ltd.)
  • Formatas: EPUB+DRM
  • Serija: IEEE Press
  • Išleidimo metai: 27-Jan-2020
  • Leidėjas: John Wiley & Sons Inc
  • Kalba: eng
  • ISBN-13: 9781119189114
Kitos knygos pagal šią temą:
Energy Storage for Power System Planning and OperationDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Serija: IEEE Press
  • Išleidimo metai: 27-Jan-2020
  • Leidėjas: John Wiley & Sons Inc
  • Kalba: eng
  • ISBN-13: 9781119189114
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"An introduction to the rapidly evolving field of energy storage systems, this book provides a valuable framework for understanding the existing and latest technologies for integrating energy storage applications with power systems. It begins with a review of the state of the art and supplements that with system models and simulations. Readers will gain an understanding of the various techniques that can be employed for energy storage that is compatible with renewable energy generation. The practical aspects of system optimization, planning and siting are also covered in detail"--

An authoritative guide to large-scale energy storage technologies and applications for power system planning and operation

To reduce the dependence on fossil energy, renewable energy generation (represented by wind power and photovoltaic power generation) is a growing field worldwide. Energy Storage for Power System Planning and Operation offers an authoritative introduction to the rapidly evolving field of energy storage systems. Written by a noted expert on the topic, the book outlines a valuable framework for understanding the existing and most recent advances in technologies for integrating energy storage applications with power systems.

Filled with full-color illustrations, the book reviews the state-of-the-art of energy storage systems and includes illustrative system models and simulations. The author explores the various techniques that can be employed for energy storage that is compatible with renewable energy generation. Designed as a practical resource, the book examines in detail the aspects of system optimization, planning, and dispatch. This important book,

  • Provides an introduction to the systematically different energy storage techniques with deployment potential in power systems
  • Models various energy storage systems for mathematical formulation and simulations
  • Contains a review of the techniques for integrating and operating energy storage with renewable energy generation
  • Analyses how to optimize power systems with energy storage, at both the transmission and distribution system levels
  • Shows how to optimize planning, siting, and sizing of energy storage for a range of purposes

Written for power system engineers and researchers, Energy Storage for Power System Planning and Operation introduces the application of large-scale energy storage for the optimal operation and planning of power systems.

Preface xi
Acknowledgements xv
Abbreviation List xvii
1 Introduction 1(34)
1.1 Evolution of Power System and Demand of Energy Storage
1(5)
1.2 Energy Storage Technologies and Their Applications in Power Systems
6(17)
1.2.1 Energy Storage Technologies
6(8)
1.2.2 Technical and Economic Analyses of Different Energy Storage Technologies
14(2)
1.2.3 Applications of Energy Storage in Power Systems
16(7)
1.3
Chapter Structure
23(1)
1.4 Notes to Readers
24(2)
1.4.1 Topics Not Included in This Book
24(2)
1.4.2 Required Basic Knowledge
26(1)
References
26(9)
2 Modeling of Energy Storage Systems for Power System Operation and Planning 35(22)
2.1 Introduction
35(1)
2.2 Pumped Hydroelectric Storage System
36(3)
2.2.1 Operation of a Pumped Hydroelectric Storage System
36(1)
2.2.2 Steady-State Model of a Pumped Hydroelectric Storage System
37(2)
2.3 Battery Energy Storage System
39(4)
2.3.1 Operation of a Battery Energy Storage System
39(2)
2.3.2 Steady-State Model of a Battery Energy Storage System
41(2)
2.4 Compressed Air Energy Storage System
43(5)
2.4.1 Operation of a Compressed Air Energy Storage System
43(3)
2.4.2 Steady-State Model of a Compressed Air Energy Storage System
46(2)
2.5 Simplified Steady-State Model of a Generic Energy Storage System
48(5)
2.5.1 Transformation of a Pumped Hydroelectric Storage System Model
50(1)
2.5.2 Transformation of a Compressed Air Energy Storage System Model
50(1)
2.5.3 Steady-State Model of a Generic Energy Storage System
51(2)
2.6 Conclusion
53(1)
References
54(3)
3 Day-Ahead Schedule and Bid for a Renewable Energy Generation and Energy Storage System Union 57(24)
3.1 Introduction
57(1)
3.2 Basic Model for Day-Ahead Schedule of a REG-ESS Union
58(1)
3.3 Stochastic Optimization for Day-Ahead Coordination
59(9)
3.3.1 Scenario-Based Optimization Model
59(1)
3.3.2 Chance-Constrained Optimization Model
60(3)
3.3.3 Case Studies on a Union of Wind Farm and Pumped Hydroelectric Storage Plant
63(5)
3.4 Integrated Bidding Strategies for a REG-ESS Union
68(9)
3.4.1 Day-Ahead Bidding Strategy
68(4)
3.4.2 Solution Method
72(3)
3.4.3 Illustrative Example
75(2)
3.5 Conclusion and Discussion
77(1)
References
78(3)
4 Refined Bidding and Operating Strategy for a Renewable Energy Generation and Energy Storage System Union 81(36)
4.1 Introduction
81(1)
4.2 Real-Time Operation with Linear Decision Rules
82(4)
4.3 Optimal Offering Strategy with Linear Decision Rules
86(7)
4.3.1 Objective Function
87(2)
4.3.2 Constraints
89(2)
4.3.3 Complete Optimization Formulation
91(1)
4.3.4 Case Studies
91(2)
4.4 Electricity Market Time Frame and Rules with Intraday Market
93(3)
4.4.1 Day-Ahead Bidding Rules
94(1)
4.4.2 Intraday Bidding Rules
95(1)
4.4.3 Real-Time Operation
95(1)
4.5 Rolling Optimization Framework and Mathematical Formulations Considering Intraday Markets
96(16)
4.5.1 Data Flow among Different Sections
96(2)
4.5.2 Initial Residue Energy of Different Optimizations
98(1)
4.5.3 Optimization Model for Each Market
98(6)
4.5.4 Handling Wind Power Forecast Error
104(2)
4.5.5 Case Studies
106(6)
4.6 Conclusion and Discussion
112(1)
References
113(4)
5 Unit Commitment with Energy Storage System 117(20)
5.1 Introduction
117(1)
5.2 Energy Storage System Model for SCUC
118(2)
5.3 Deterministic SCUC with Energy Storage System
120(10)
5.3.1 Objective Function
120(1)
5.3.2 Constraints
120(2)
5.3.3 Case Studies
122(8)
5.4 Stochastic and Robust SCUC with Energy Storage System and Wind Power
130(4)
5.4.1 Scenario-Based Stochastic SCUC
130(2)
5.4.2 Robust SCUC
132(2)
5.5 Conclusion and Discussion
134(1)
References
134(3)
6 Optimal Power Row with Energy Storage System 137(20)
6.1 Introduction
137(1)
6.2 Optimal Power Flow Formulation with Energy Storage System
138(3)
6.2.1 Multi-Period OPF and Rolling Optimization
138(1)
6.2.2 Energy Storage Model for the OPF Problem
138(2)
6.2.3 OPF Formulation
140(1)
6.3 Interior Point Method to Solve the Multi-Period OPF Problem
141(3)
6.3.1 Optimal Condition for the Interior Point Method
141(2)
6.3.2 Procedure of the Primal-Dual IPM to Solve the OPF Problem
143(1)
6.3.3 Discussion on Singularities Caused by Constraints of Energy Storage System
144(1)
6.4 Semidefinite Programming for the OPF Problem
144(4)
6.4.1 Convex Relaxation of the OPF Problem
145(1)
6.4.2 Lagrange Relaxation and Dual Problem
146(2)
6.4.3 Optimal Solution of the OPF Problem
148(1)
6.5 Simulation and Comparison
148(5)
6.5.1 With a Single Energy Storage System
148(4)
6.5.2 With Multiple Energy Storage Systems
152(1)
6.6 Conclusion and Discussion
153(1)
References
154(3)
7 Power System Secondary Frequency Control with Fast Response Energy Storage System 157(28)
7.1 Introduction
157(1)
7.2 Simulation of SFC with the Participation of Energy Storage System
158(5)
7.2.1 Overview of SFC for a Single-Area System
158(2)
7.2.2 Modeling of CG and ESS as Regulation Resources
160(1)
7.2.3 Calculation of System Frequency Deviation
160(2)
7.2.4 Estimation and Allocation of Regulation Power
162(1)
7.3 Capacity Requirement for Secondary Frequency Control with Energy Storage System
163(8)
7.3.1 Procedure to Quantify Regulation Capacity Requirements
163(1)
7.3.2 Case Studies
164(7)
7.4 Control Strategies of Secondary Frequency Control with Energy Storage System
171(7)
7.4.1 CG First Power Allocation Strategy
171(2)
7.4.2 Two Other Strategies
173(1)
7.4.3 Frequency Control Performance and Cost Comparisons
174(4)
7.5 Extending to Multi-area Power System
178(2)
7.6 Conclusion and Discussion
180(2)
References
182(3)
8 Integration of Large-Scale Energy Storage System into the Transmission Network 185(18)
8.1 Introduction
185(1)
8.2 Costs and Benefits of Investing ESS in a Transmission Network
186(2)
8.3 Transmission Expansion Planning Considering Energy Storage System and Active Power Loss
188(7)
8.3.1 Objective Function and Constraints
188(2)
8.3.2 Linearization of Line Losses
190(1)
8.3.3 Sizing of Energy Storage Systems
191(1)
8.3.4 Complete Mathematical Formulation
192(2)
8.3.5 Case Studies
194(1)
8.4 Transmission Expansion Planning Considering Daily Operation of ESS
195(6)
8.4.1 Different Approaches to Consider Optimal Daily Operation
196(1)
8.4.2 Formulation of Scenario-Based Optimization
197(4)
8.5 Conclusion and Discussion
201(1)
References
201(2)
9 Optimal Planning of the Distributed Energy Storage System 203(18)
9.1 Introduction
203(1)
9.2 Benefits from Investing in DESS
204(1)
9.3 Mathematical Model for Planning Distributed Energy Storage Systems
204(5)
9.3.1 Planning Objectives
204(1)
9.3.2 Dealing with Load Variations and Uncertain DG Outputs
205(1)
9.3.3 Complete Mathematical Model with Operational and Security Constraints
205(4)
9.4 Solution Methods for the Optimal Distributed Energy Storage System Planning Problem
209(6)
9.4.1 Second-Order Cone Programming Method
209(1)
9.4.2 Two-Stage Optimization Method
210(1)
9.4.3 Solution Algorithm Based on Generalized Benders Decomposition
211(4)
9.5 Distribution Network Expansion Planning with Distributed Energy Storage System
215(2)
9.6 Conclusion and Discussion
217(1)
References
218(3)
Index 221
ZECHUN HU is Associate Professor at Tsinghua University, China. He has decades of experience in power system analysis, planning, and operation optimization.
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