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E-raamat: Energy Storage in Power Systems [Wiley Online]

, , (Universitat Politècnica de Catalunya)
  • Formaat: 320 pages
  • Ilmumisaeg: 13-May-2016
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118971299
  • ISBN-13: 9781118971291
Teised raamatud teemal:
  • Wiley Online
  • Hind: 137,45 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
Energy Storage in Power SystemsSuurem pilt
  • Formaat: 320 pages
  • Ilmumisaeg: 13-May-2016
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118971299
  • ISBN-13: 9781118971291
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118971291

Over the last century, energy storage systems (ESSs) have continued to evolve and adapt to changing energy requirements and technological advances.Energy Storage in Power Systems describes the essential principles needed to understand the role of ESSs in modern electrical power systems, highlighting their application for the grid integration of renewable-based generation.

Key features:

  • Defines the basis of electrical power systems, characterized by a high and increasing penetration of renewable-based generation.
  • Describes the fundamentals, main characteristics and components of energy storage technologies, with an emphasis on electrical energy storage types.
  • Contains real examples depicting the application of energy storage systems in the power system.
  • Features case studies with and without solutions on modelling, simulation and optimization techniques.

Although primarily targeted at researchers and senior graduate students, Energy Storage in Power Systems is also highly useful to scientists and engineers wanting to gain an introduction to the field of energy storage and more specifically its application to modern power systems.

Foreword xi
Preface xv
1 An Introduction to Modern Power Systems
1(24)
1.1 Introduction
1(2)
1.2 The Smart Grid Architecture Model
3(6)
1.3 The Electric Power System
9(4)
1.3.1 The Structure of the Power System
9(1)
1.3.2 The Fundamentals of Power System Analysis
9(4)
1.4 Energy Management Systems
13(2)
1.5 Computational Techniques
15(1)
1.5.1 Optimization Methods and Optimal Power Flow
15(1)
1.5.2 Security-Constrained Optimal Power Flow
16(1)
1.6 Microgrids
16(1)
1.7 The Regulation of the Electricity System and the Electrical Markets
17(3)
1.8 Exercise: A Load-Flow Algorithm with Gauss--Seidel
20(5)
2 Generating Systems Based on Renewable Power
25(36)
2.1 Renewable Power Systems
25(9)
2.1.1 Wind Power Systems
32(2)
2.1.2 Solar Photovoltaic Power Systems
34(1)
2.2 Renewable Power Generation Technologies
34(24)
2.2.1 Renewable Power Generation Technology Based on Rotative Electrical Generators
36(1)
2.2.2 Wind Turbine Technology
37(16)
2.2.3 Photovoltaic Power Plants
53(5)
2.3 Grid Code Requirements
58(1)
2.4 Conclusions
59(2)
3 Frequency Support Grid Code Requirements for Wind Power Plants
61(32)
3.1 A Review of European Grid Codes Regarding Participation in Frequency Control
62(17)
3.1.1 Nomenclature and the Definition of Power Reserves
63(2)
3.1.2 The Deployment Sequence of Power Reserves for Frequency Control
65(6)
3.1.3 A Detailed View on the Requirements for WPPs in the Irish Grid Code
71(2)
3.1.4 A Detailed View on the Requirements for WPPs in the UK Grid Code
73(3)
3.1.5 Future Trends Regarding the Provision of Primary Reserves and Synthetic Inertia by WPPs
76(3)
3.2 Participation Methods for WPPs with Regard to Primary Frequency Control and Synthetic Inertia
79(12)
3.2.1 Deloading Methods of Wind Turbines for Primary Frequency Control
79(8)
3.2.2 Synthetic Inertia
87(4)
3.3 Conclusions
91(2)
4 Energy Storage Technologies
93(50)
4.1 Introduction
93(1)
4.2 The Description of the Technology
94(35)
4.2.1 Pumped Hydroelectric Storage (PHS)
94(2)
4.2.2 Compressed Air Energy Storage (CAES)
96(1)
4.2.3 Conventional Batteries and Flow Batteries
97(15)
4.2.4 The Hydrogen-Based Energy Storage System (HESS)
112(2)
4.2.5 The Flywheel Energy Storage System (FESS)
114(2)
4.2.6 Superconducting Magnetic Energy Storage (SMES)
116(4)
4.2.7 The Supercapacitor Energy Storage System
120(5)
4.2.8 Notes on Other Energy Storage Systems
125(4)
4.3 Power Conversion Systems for Electrical Storage
129(12)
4.3.1 Application: Electric Power Systems
129(5)
4.3.2 Other Applications I: The Field of Electromobility
134(3)
4.3.3 Other Applications II: Buildings
137(2)
4.3.4 The Battery Management System (BMS)
139(2)
4.4 Conclusions
141(2)
5 Cost Models and Economic Analysis
143(20)
5.1 Introduction
143(2)
5.2 A Cost Model for Storage Technologies
145(8)
5.2.1 The Capital Costs
145(2)
5.2.2 Operating and Maintenance Costs
147(2)
5.2.3 Replacement Costs
149(1)
5.2.4 End-of-Life Costs
150(1)
5.2.5 The Synthesis of a Cost Model
151(2)
5.3 An Example of an Application
153(9)
5.3.1 The Collection of Data for Evaluation of the Cost Model
154(4)
5.3.2 Analysis of the Results
158(4)
5.4 Conclusions
162(1)
6 Modeling, Control, and Simulation
163(46)
6.1 Introduction
163(1)
6.2 Modeling of Storage Technologies: A General Approach Orientated to Simulation Objectives
164(2)
6.3 The Modeling and Control of the Grid-Side Converter
166(8)
6.3.1 Modeling
166(3)
6.3.2 Control
169(5)
6.4 The Modeling and Control of Storage-Side Converters and Storage Containers
174(25)
6.4.1 Supercapacitors and DC-DC Converters
174(6)
6.4.2 Secondary Batteries and DC-DC Converters
180(10)
6.4.3 Flywheels and AC-DC Converters
190(9)
6.5 An Example of an Application: Discharging Storage Installations Following Various Control Rules
199(8)
6.5.1 Input Data
199(2)
6.5.2 Discharge (Charge) Modes for Supercapacitors
201(2)
6.5.3 Discharge (Charge) Modes for Batteries
203(1)
6.5.4 Discharge (Charge) Modes for Flywheels
204(3)
6.6 Conclusions
207(2)
7 Short-Term Applications of Energy Storage Installations in the Power System
209(34)
7.1 Introduction
209(1)
7.2 A Description of Short-Term Applications
210(7)
7.2.1 Fluctuation Suppression
210(2)
7.2.2 Low-Voltage Ride-Through (LVRT)
212(1)
7.2.3 Voltage Control Support
213(1)
7.2.4 Oscillation Damping
214(1)
7.2.5 Primary Frequency Control
215(2)
7.3 An Example of Fluctuation Suppression: Flywheels for Wind Power Smoothing
217(24)
7.3.1 The Problem of Wind Power Smoothing
217(3)
7.3.2 Optimal Operation of the Flywheel for Wind Power Smoothing
220(6)
7.3.3 The Design of the High-Level Energy Management Algorithm for the Flywheel
226(4)
7.3.4 Experimental Validation
230(11)
7.4 Conclusions
241(2)
8 Mid- and Long-Term Applications of Energy Storage Installations in the Power System
243(24)
8.1 Introduction
243(1)
8.2 A Description of Mid- and Long-Term Applications
243(7)
8.2.1 Load Following
243(4)
8.2.2 Peak Shaving
247(1)
8.2.3 Transmission Curtailment
248(1)
8.2.4 Time Shifting
248(1)
8.2.5 Unit Commitment
249(1)
8.2.6 Seasonal Storage
250(1)
8.3 Example: The Sizing of Batteries for Load Following in an Isolated Power System with PV Generation
250(15)
8.3.1 Step 1: Typical Load and PV Generation Profiles
253(2)
8.3.2 Step 2: The Voltage Level of the Battery Bank
255(2)
8.3.3 Step 3: The Typical Daily Current Demand for the Battery Bank
257(1)
8.3.4 Step 4: The Number of Days of Autonomy
258(1)
8.3.5 Step 5: The Total Daily Demand for the Battery Bank
259(1)
8.3.6 Step 6: The Capacity of the Battery
260(1)
8.3.7 Step 7: The Number of Cells in Series
260(1)
8.3.8 Step 8: The Number of Parallel Strings of Cells in Series
261(1)
8.3.9 Step 9: Check the Admissible Momentary Current for the Battery Cells
261(1)
8.3.10 Step 10: The Maximum Charge and Discharge Currents for the Battery Bank Considering PV Generation
261(4)
8.3.11 Step 11: The Selection of Power Inverters
265(1)
8.4 Conclusions
265(2)
References 267(18)
Index 285
Francisco Díaz-González, Catalonia Institute for Energy Research, Spain Francisco Díaz-González received his degree in industrial engineering from the School of Industrial Engineering of Barcelona, Technical University of Catalonia (UPC), Barcelona, Spain, in 2009, and his Ph.D. degree in electrical engineering from the UPC in 2013. He has experience in electrical and mechanical systems modeling and simulation. Between September 2009 and June 2015 he was based with the Catalonia Institute for Energy Research, Barcelona, Spain, but since July 2015, he has been based with CITCEA-UPC research group. His current research interests include the fields linked with energy storage technologies, electrical machines, and renewable energy integration in power systems.

Andreas Sumper, Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments, Universitat Politècnica de Catalunya, Barcelona, Spain Andreas Sumper received his Dipl.-Ing. degree in electrical engineering from the Graz University of Technology (Austria) in 2000 and his Ph.D. degree in electrical engineering from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 2008. Since 2014 he has been an Associate Professor at the UPC and he leads the Smart Grid Research at CITCEA-UPC. His research interests are renewable energy generation, microgrids and smart grids, power system studies, and energy management.

Oriol Gomis-Bellmunt,Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments, Universitat Politècnica de Catalunya, Barcelona, Spain Oriol Gomis-Bellmunt received his degree in industrial engineering from the School of Industrial Engineering of Barcelona, Technical University of Catalonia (UPC), Barcelona, Spain, in 2001, and his Ph.D. degree in electrical engineering from the UPC, in 2007. Since 2004, he has been with the Department of Electrical Engineering, UPC, where he is a Lecturer and participates in the CITCEA-UPC research group. His research interests include the fields linked with smart actuators, electrical machines, power electronics, renewable energy integration in power systems, industrial automation and engineering education.
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