Grid-Scale Energy Storage Systems and Applications

1st Edition - June 11, 2019
Editors: Fu-Bao Wu, Bo Yang, Ji-Lei Ye
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 5 2 9 2 - 8
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 5 2 9 3 - 5

Grid-Scale Energy Storage Systems and Applications provides a timely introduction to state-of-the-art technologies and important demonstration projects in this rapidly developin… Read more

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Grid-Scale Energy Storage Systems and Applications provides a timely introduction to state-of-the-art technologies and important demonstration projects in this rapidly developing field. Written with a view to real-world applications, the authors describe storage technologies and then cover operation and control, system integration and battery management, and other topics important in the design of these storage systems. The rapidly-developing area of electrochemical energy storage technology and its implementation in the power grid is covered in particular detail. Examples of Chinese pilot projects in new energy grids and micro grips are also included.

Drawing on significant Chinese results in this area, but also including data from abroad, this will be a valuable reference on the development of grid-scale energy storage for engineers and scientists in power and energy transmission and researchers in academia.

1. Development of energy storage technology

1.1 Basic concept

1.2 The development history of energy storage technology

1.3 Demands and functions of energy storage technology in power systems

1.3.1 Demand analysis of grid development in energy
storage technology

1.3.2 Role of energy storage technology in power systems

1.4 Application outlook and challenges of energy storage technology in power systems

1.4.1 Application outlook

1.4.2 Challenges
Further reading

2. Technologies of energy storage systems

2.1 Electrochemical energy storage

2.1.1 Leadeacid battery

2.1.2 Lithium-ion battery

2.1.3 Vanadium redox battery

2.1.4 Zincebromine

2.1.5 Sodium sulfur

2.2 Physical energy storage

2.2.1 Pump hydro storage

2.2.2 Compressed air energy storage

2.2.3 Flywheel energy storage

2.3 Electromagnetic energy storage

2.3.1 Supercapacitor energy storage

2.3.2 Superconducting magnetic energy storage

2.4 New type energy storage

2.4.1 Advanced leadeacid battery

2.4.2 Lithiumesulfur battery

2.4.3 Sodium-ion battery

2.4.4 Heat pump energy storage

2.4.5 Gravity energy storage

2.5 Comprehensive comparison of energy storage technologies

2.5.1 Technical maturity

2.5.2 Performance parameters

2.5.3 Applications
References

3. Technologies for energy storage battery management

3.1 Battery management systems

3.1.1 Typical structures

3.1.2 Main functions

3.2 SOC estimation method

3.2.1 Definition

3.2.2 The methods for SOC estimation

3.3 SOH estimation technology

3.3.1 Definition

3.3.2 Methods for SOH estimation

3.4 Balance management technology

3.5 Protection technology

3.5.1 Overvoltage protection

3.5.2 Undervoltage protection

3.5.3 Overcurrent protection

3.5.4 Short circuit protection

3.5.5 Overtemperature protection

3.6 Typical cases for battery management

3.6.1 Valve regulated leadeacid battery (VRLA battery)

3.6.2 Lithium iron phosphate battery
References

4. Operation control technology of energy storage systems

4.1 Basic principles

4.1.1 Coordinate transformation

4.1.2 PWM modulation technology

4.1.3 Bidirectional AC/DC converter principle and mathematical model

4.1.4 Bidirectional DC/DC converter principle and mathematical model

4.1.5 Typical topological structure of an ESS

4.2 Grid-connected operation control technology

4.2.1 AC/DC converter control

4.2.2 DC/DC converter control

4.2.3 Island detection

4.2.4 Low-voltage ride through

4.3 Off-grid operation control technology

4.3.1 V/f control

4.3.2 Black start control

4.3.3 Multimachine parallel coordinated control

4.4 Dual-mode switching control technology

4.4.1 Control of switching from on-grid to off-grid

4.4.2 Synchronization control of the switching from off-grid to on-grid

4.5 Case study

4.5.1 Test system

4.5.2 Function verification
References

5. Integrated ESS application and economic analysis

5.1 Integration design for ESSs

5.1.1 Definition

5.1.2 BP application technology

5.1.3 Typical ESS design

5.1.4 ESS reliability evaluation indexes

5.2 ESS integration under typical application mode

5.2.1 New energy power generation side

5.2.2 Grid side

5.2.3 User side

5.2.4 Microgrid side

5.3 Analysis of economic efficiency of ESS in typical application scenarios

5.3.1 Types of application scenarios

5.3.2 Analytical methods for costs/benefits of ESSs

5.4 Analysis of energy storage efficiency in Chinese power market

5.4.1 Comprehensive economic efficiency of ESS at new energy power side

5.4.2 Comprehensive economic efficiency of ESSs at power distribution network side

5.4.3 Comprehensive economic efficiency of ESSs at user side
References

6. Application of energy storage technology in grid-connected new energy power generation

6.1 Impact of energy storage system on grid-connected new energy power generation

6.1.1 Smooth power fluctuation

6.1.2 Reduce power system’s demand for peak regulation capacity

6.1.3 Trace new energy power schedule output

6.1.4 Regulate the power system’s frequency and voltage

6.2 Design of an energy storage system in a new energy grid-connected power generation system

6.2.1 Storage energy system’s configuration method

6.2.2 Technical/economic analysis of energy storage system

6.2.3 Configuration of energy storage system capacity

6.3 Technology that controls the operation of new hybrid integrated energy storage generation

6.3.1 Smooth the power fluctuation

6.3.2 Trace schedule output

6.3.3 Frequency regulation of the system

6.4 Typical application cases

6.4.1 Tehachapi Wind Farm lithium-ion battery energy storage system in California, USA

6.4.2 Sodiumesulfur battery energy storage system of Rokkasho Village Wind Farm, Japan

6.4.3 National windePV energy storage power generation demonstration project

6.4.4 The all vanadium redox flow battery energy storage system of the Woniushi Wind Farm, Liaoning
References

7. Application of energy storage technology in the microgrid

7.1 Functions

7.1.1 Improving the distributed generation utilization

7.1.2 Improving the microgrid off-grid operating stability

7.1.3 Improving microgrid energy quality

7.2 Capacity optimization

7.2.1 Power constraints of an energy storage system

7.2.2 Capacity optimization of an energy storage system in on-grid microgrid

7.2.3 Capacity optimization of energy storage system in off-grid microgrid

7.3 Hybrid energy storage system

7.3.1 Characteristics of hybrid energy storage

7.3.2 Topological structure of a hybrid energy storage system

7.3.3 Capacity optimization of a hybrid energy storage system

7.3.4 Coordinated control of hybrid energy storage system

7.4 Operation control technology

7.4.1 Overview

7.4.2 Coordination control technology of a microgrid with an energy storage system

7.4.3 Seamless switching technology with energy storage units

7.5 Typical application cases

7.5.1 Chengde distributed generation/microgrid demonstration project

7.5.2 Microgrid demonstration project in agricultural and pasturing area without electricity in Qinghai

7.5.3 Dongfushan Island wind/PV/energy storage/diesel and seawater desalination integrated system
References

Fu-Bao Wu

Fu-Bao Wu is a professor-level senior engineer, and the current Director of the Comprehensive Management Centre at the China Electric Power Research Institute in Nanjing. He has carried out extensive R&D in fields including energy distribution, micro-grids, energy storage and renewable energy generation monitoring and control. He has won prizes for his work, including a Jiangsu Science and Technology Progress Award (first prize), a State Grid Science and Technology Progress Award (first prize), a State Grid Science and Technology Progress Award (second prize), a State Grid Science and Technology Progress Award (third prize), a Jinlin Science and Technology Progress Award (third prize), a Nanjing Science and Technology Progress Award (first prize), a China Electric Power Science and Technology Progress Award (third prize) and a China Electrotechnical Society Science and Technology Progress Award (second prize). He is a member of various committees, including the Electrical Energy Storage Standardization Technical Committee (SACTC550) and the Operation and Control Technology Standard Work Group for the State Grid. He has led the preparation of two national standards, four industry standards and six enterprise standards. He is the author of 48 patents and has published nearly 80 journal articles and two books.

Affiliations and expertise

Professor, China Electric Power Research Institute, China

Bo Yang

Bo Yang received the Ph.D. degree in electrical engineering from the City University of Hong Kong, Hong Kong, in 2009. He is currently a Full Professor with Shanghai Jiao Tong University, Shanghai, China. Prior to joining Shanghai Jiao Tong University in 2010, he was a Post-Doctoral Researcher with the KTH Royal Institute of Technology, Stockholm, Sweden, from 2009 to 2010, and a Visiting Scholar with the Polytechnic Institute of New York University in 2007. His research interests include optimization for energy networks and internet of things. He has been the Principal Investigator in several research projects, including the NSFC Key Project. He was a recipient of the Ministry of Education Natural Science Award 2016, the Shanghai Technological Invention Award 2017, the Shanghai Rising- Star Program 2015, and the SMC-Excellent Young Faculty Award by Shanghai Jiao Tong University

Affiliations and expertise

Full Professor with Shanghai Jiao Tong University, Shanghai, China.