Power System Flexibility

Power System Flexibility

1st Edition - February 17, 2023

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  • Authors: Zongxiang Lu, Haibo Li, Ying Qiao, Xie Le, Chanan Singh
  • Paperback ISBN: 9780323995177

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Description

Power System Flexibility provides a consolidated foundation in the design, planning and operation of power systems increasingly based on intermittent highly renewable power systems, integrating core theory, mathematical analysis, and modern international applications, in an unusually multidisciplinary space. Opening with an expansive theoretical grounding in the definition, analysis, and modelling of power system, the work demonstrates how to apply flexibility theory to critical problems involving intermittency and variability in power system planning and operation. The work concludes with an international complement of real-world case studies, demonstrating how flexibility theory have been applied to real-world projects of increasing complexity. examples and how they might be systematized into future systems with high penetration of renewable energy.

Key Features

  • Integrates underlying scientific foundations with modern methods in the planning and operation of flexible power systems
  • Demonstrates how to design, plan, operationalize, and optimize flexible solutions across the full range of power generation, electrical grids, energy demand, and energy storage applications
  • Accompanied by an international complement of real-world case studies focusing on delivering flexibility in highly renewable electricity systems

Readership

Graduate students and early career researchers (1st year PhD+) working in power engineering, energy systems, control engineering, and renewable energy; Engineers, power plant staff, transmission system operators, network owners, manufacturers, consultants, and relevant workers in power system operations, electrical engineering and relevant fields. Power system economists

Table of Contents

  • Concepts and Mathematics about Flexibility
    Introduction to power system flexibility
    1.1 Backgrounds of power system flexibility
    1.2 Brief history & Cutting Edges
    1.3 The necessity to consider flexibility in power system with high share of renewable energy
    1.4 The relation among chapters in this book

    Mathematical basis for flexibility modeling
    2.1 Probability and stochastic process
    2.2 Stochastic programming theory
    2.3 Programming modeling and common algorithms
    2.4 Mathematical optimization theory

    Concepts and characteristics of power system flexibility
    3.1 Definitions
    3.2 Characteristics of flexibility
    3.3 Clarification with relative concepts

    Flexibility Balancing Principle and Indices
    4.1 Demand, supply, and adequacy of flexibility
    4.2 Flexibility demand & supply balancing
    4.3 Criterion of operation flexibility balance
    4.4 Criterion of planning flexibility balance
    4.5 Quantitative evaluation indices of flexibility

    Flexibility Assessment based on operational simulation
    5.1 Comparison with sequential and non-sequential operational simulation
    5.2 Modeling flexibility resource in sequential/non sequential simulation
    5.3 Flexibility assessment method based on production simulation

    Flexibility Assessment Tool and Case Studies
    6.1 Power system production simulation with renewable energy integration
    6.2 Introduction to flexibility assessment tool
    6.3 Case studies for the application of flexibility assessment tool
    References

    Incorporating Flexibility into Power System Analysis
    Active Power Balance Control based on Flexibility Theory
    7.1 Flexibility supply of various flexibility resources in the perspective of active power
    7.2 Frequency control method considering flexibility balance constraints
    7.3 Unit commitment modeling considering flexibility balance constraints
    7.4 Economic dispatch modeling considering flexibility balance constraints

    Reactive Power Balance Control based on Flexibility Theory
    8.1 Flexibility supply of various flexibility resources in the perspective of reactive power
    8.2 The flexibility balance modeling for reactive power
    8.3 Reactive power control considering flexibility balance constraints

    Modeling Flexibility in Electric Power Market
    9.1 Electric power market modeling for generation side flexibility
    9.2 Electric power market modeling for grid side flexibility
    9.3 Electric power market modeling for demand side flexibility
    9.4 Electric power market modeling for storage side flexibility
    References 

    The optimal planning of power system flexibility resources
    Introduction to power system flexibility planning
    10.1 Background: The necessity to incorporate flexibility into power system planning
    10.2 The main flexible resources considered in planning stage
    10.3 The main flexibility planning methods at present

    Coordinating planning of generation-grid-load-storage flexibility resources
    11.1 Modeling of generation-grid-load-storage flexibility resources
    11.2 Methodology of coordinating planning
    11.3 Algorithms of solving flexibility planning model

    Integrated planning of collection and delivery system for large scale new energy base
    12.1 Traditional planning methodology
    12.2 Integrated planning frameworks
    12.3 Multiple kV-leveled collection optimization of wind plant/PV station cluster
    12.4 Reliability evenly planning
    12.5 Operation assessment about coordinate planning

    Collection and transmission flexibility planning for large offshore wind power base
    13.1 The impact of transmission planning on flexibility and wind power curtailment
    13.2 Location optimization of offshore hub substation based on steepest descent method
    13.3 Topology optimization of collection lines based on genetic algorithm
    13.4 Equipment selection considering truncation Risk of High Wind Speed
    13.5 Transmission optimization considering flexibility improving

    Deployment & allocation of storage based on flexibility theory
    14.1 Application scenario of storage in generation, grid and demand side
    14.2 Storage deployment for improving power system flexibility in different scenario
    14.3 Stochastic programming and simulation of storage planning
    14.4 Optimal allocation method and evaluation of energy storage
    References

    The optimal operation of power system flexibility resources
    Introduction to power system flexibility operation
    15.1 Background: The necessity to incorporate flexibility into power system operation
    15.2 The main flexible resources considered in operation stage
    15.3 The main optimal operation methods of power system flexibility resources at present

    Virtual power generator based hierarchical schedule of wind power cluster
    16.1 Characteristics of hierarchical coordinate operation of virtual generator
    16.2 Time-varying probabilistic model
    16.3 Hierarchical day-ahead schedule
    16.4 Hierarchical real-time dispatching strategies

    Multi-sources complementary operation considering grid constraints
    17.1 Wide area coordination of wind power and pumped storage
    17.2 Wide area coordination of wind power and battery storages
    17.3 Optimal day ahead scheduling of multi-sources considering power security

    Multi-temporal-spatial-scale flexibility to improve renewable accommodation
    18.1 Quantitative factors of renewable accommodation
    18.2 Online analysis of flexibility adequacy and renewable abandon
    18.3 Online evaluation for flexibility potential capability

    Flexible resource coordination on demand side
    19.1 Demand side flexible resource modeling (Storage, EVs, etc.)
    19.2 Coordination optimal model of flexible resources on demand side
    19.3 Case studies of demand side flexibility planning
    References

    Planning applications of flexibility theory
    Planning projects of power system flexibility
    20.1 Demo 1: Allocation demonstration of multiple flexible resources
    20.2 Demo 2: Collection and delivery planning of onshore renewable base
    20.3 Demo 3: Collection and delivery planning of offshore wind power bases
    20.4 Demo 4: Multi-type energy storage allocation at source side
    20.5 Demo 5: Multi-type energy storage allocation at grid side
    20.6 Demo 6: Source grid coordinate planning case

    Operation application of flexibility theory
    21.1 Demo 7: Hierarchical optimal operation of renewable virtual generator
    21.2 Demo 8: Multi energy complementary operation considering grid constraints
    21.3 Demo 9: Accommodation technology based on flexibility
    21.4 Demo 10: Generation planning and renewable accommodation evaluation system
    21.5 Demo 11: Flexible resource coordinate operation on demand side

    The sector coupled flexibility resources
    22.1 Demo 12: Flexibility from integrated energy system (gas and heat)
    22.2 Demo 13: Flexibility from EVs and demand response
    References

Product details

  • No. of pages: 225
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: February 17, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780323995177

About the Authors

Zongxiang Lu

Dr. Zongxiang Lu has been Associate Professor of the Electrical Engineering Department of Tsinghua University since 2005. He is a Fellow of IET, and the senior member of IEEE and CSEE. His research interests include large-scale wind power / PV stations integration analysis and control, wind power forecasting, energy and electricity strategy planning. He is the PI of more than 40 academic and industrial projects. He is also the author or co-author of 7 books, 26 international journal papers and 80 Chinese journal papers. He has received a second prize of National Science and Technology Progress Award in 2019, and 14 provincial level scientific research awards. His paper awards include Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018, 2014 and 2007, Outstanding Paper Award of China Science and Technology Journal in 2016, Outstanding Paper Award of China Society of Electrical Engineering in 2019, 2018 respectively.

Affiliations and Expertise

Associate Professor, Electrical Engineering Department, Tsinghua University, China

Haibo Li

Dr. Haibo Li has been Research Assistant of Tsinghua Sichuan Energy Internet Institute since 2017. He is now the deputy director of New Energy Power System Analysis and Optimization Research Center of Tsinghua Sichuan Energy Internet Institute. His research interests include large-scale wind power / PV stations integration power system flexibility planning and operation, offshore wind power. He is the PI of more than 10 academic and industrial projects. He is also the author /co-author of more than 20 international journal papers or Chinese journal papers. His paper awards include Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018, Outstanding Paper Award of China Society of Electrical Engineering in 2019, 2018 respectively. He is among the listees in China’s elite under 30 in 2020 From Forbes (Industry, Manufacturing, Energy and Environmental Protection).

Affiliations and Expertise

Research Assistant, Tsinghua Sichuan Energy Internet Institute, China

Ying Qiao

Dr. Ying Qiao has been Associate Professor of the Electrical Engineering Department of Tsinghua University since 2015. Her research interests include renewable power system planning & operation, machine learning in power system. She is the PI of more than 10 academic and industrial projects. She is also the author or co-author of 4 books, 25 international journal papers and 44 Chinese journal papers.

Affiliations and Expertise

Associate Professor, Electrical Engineering Department, Tsinghua University, China

Xie Le

Xie Le is Professor and Chancellor EDGE fellow and assistant director of energy digitization at Texas A&M Energy Institute. His research interests include modeling and control of electric energy systems, integration of renewable variable energy resources, design and optimization of competitive power systems, and the theory and application of cyber-physical energy systems.

Affiliations and Expertise

Professor Chancellor EDGE fellow; Assistant Director of Energy Digitization, A&M Energy Institute, Texas, USA

Chanan Singh

Chanan Singh is University Distinguished Professor, Regents Professor & Irma Runyon Chair Professor at the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include reliability and security of electric power systems, theory and applications of system reliability, integration of renewable energy sources, reliability of cyber-physical systems

Affiliations and Expertise

University Distinguished Professor, Regents Professor and Irma Runyon Chair Professor, Department of Electrical and Computer Engineering, Texas A&M University, USA

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