基于可再生能源与储能系统的概率电力系统扩展规划 Probabilistic Power System Expansion Planning With Renewable Energy Resources And Energy Storage Systems

基本信息

Series:IEEE Press Series on Power and Energy Systems

Format:Hardback 512 pages

Publisher:John Wiley & Sons Inc

Imprint:Wiley-IEEE Press

ISBN:9781119684138

Published:5 Nov 2021

Weight:454g

页面参数仅供参考，具体以实物为准

书籍简介

使用可再生能源资源和储能系统的概率电力系统扩建规划

通过来自该领域两位专家的一站式资源，了解现代技术如何塑造复杂的电力系统扩建规划

使用可再生能源资源和储能系统的概率电力系统扩建规划提供了一套全面的创新方法，用于在不确定的情况下对发电和输电系统进行概率规划。本书包括使用概率和确定性可靠性技术从长期扩建规划的角度评估系统性能时的可再生能源和储能计算。

本书分为两部分，一部分涵盖与发电扩建规划相关的主题，包括成本评估、方法和优化等章节。第二部分也是一部分提供了有关输电系统扩建规划的信息，包括可靠性约束、概率生产成本模拟等章节。

概率电力系统扩建规划比较了动态、线性和整数规划的优化和方法，并探讨了分支定界算法。除了案例研究以展示其中描述的技术如何应用​​于复杂的电力系统扩展规划问题之外，读者还将享受：

·对发电扩展规划的深入讨论，包括成本评估、方法和优化以及概率生产成本

·对输电系统扩展规划的探索，包括分支定界算法、TEP 的概率生产成本模拟以及具有可靠性约束的 TEP

·对应用于输电系统扩展规划的模糊决策的考察

·对包括风力发电机在内的电力系统的概率可靠性电网扩展规划的处理

《可再生能源和储能系统的概率电力系统扩展规划》非常适合电力和能源系统设计师、规划人员、运营商、顾问、执业工程师、软件开发人员和研究人员，也将在经常处理优化问题的执业工程师的图书馆中占有一席之地。

Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems

Discover how modern techniques have shaped complex power system expansion planning with this one-stop resource from two experts in the field

Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems delivers a comprehensive collection of innovative approaches to the probabilistic planning of generation and transmission systems under uncertainties. The book includes renewables and energy storage calculations when using probabilistic and deterministic reliability techniques to assess system performance from a long-term expansion planning viewpoint.

Divided into two sections, the book first covers topics related to Generation Expansion Planning, with chapters on cost assessment, methodology and optimization, and more. The second and final section provides information on Transmission System Expansion Planning, with chapters on reliability constraints, probabilistic production cost simulation, and more.

Probabilistic Power System Expansion Planning compares the optimization and methodology across dynamic, linear, and integer programming and explores the branch and bound algorithm. Along with case studies to demonstrate how the techniques described within have been applied in complex power system expansion planning problems, readers will enjoy:

A thorough discussion of generation expansion planning, including cost assessment, methodology and optimization, and probabilistic production cost

An exploration of transmission system expansion planning, including the branch and bound algorithm, probabilistic production cost simulation for TEP, and TEP with reliability constraints

An examination of fuzzy decision making applied to transmission system expansion planning

A treatment of probabilistic reliability-based grid expansion planning of power systems including wind turbine generators

Perfect for power and energy systems designers, planners, operators, consultants, practicing engineers, software developers, and researchers, Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems will also earn a place in the libraries of practicing engineers who regularly deal with optimization problems.

作者简介

JAESEOK CHOI 博士是庆尚大学的全职教授。Choi 博士自 2005 年起担任韩国电气工程师协会 (KIEE) 的高级会员，自 2018 年起担任 KIEE 的会员。在国际上，Choi 博士自 2005 年起担任 IEEE 的高级会员。此外，他还是 IEEE 电力工程学会的活跃成员，参与可靠性、风险和概率应用 (RRPA) 小组委员会。自 2006 年起，他一直是应用于电力系统的概率方法 (PMAPS) 会议的 ITC 成员。

KWANG Y. LEE 博士是贝勒大学电气与计算机工程教授兼系主任。他活跃于 IEEE 电力与能源学会的智能系统小组委员会和站控制小组委员会。他是 Wiley 出版社出版的《现代启发式优化技术：理论和在电力系统中的应用》（2005 年）和《现代启发式优化方法在电力和能源系统中的应用》（2020 年）的联合编辑。

JAESEOK CHOI, PhD, is a Full Professor at Gyeongsang National University. Dr. Choi is a senior member of the Korean Institute of Electrical Engineers (KIEE) since 2005 and is a fellow plus member of KIEE since 2018. Internationally, Dr. Choi is a senior member of IEEE since 2005. In addition, He is an active member of IEEE Power Engineering Society, participating in Reliability, Risk, and Probability Applications (RRPA) Subcommittee. He is an ITC member of Probabilistic Methods Applied to Power Systems (PMAPS) Conference since 2006.

KWANG Y. LEE, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University. He is active in the Intelligent Systems Subcommittee and Station Control Subcommittee of the IEEE Power and Energy Society. He is a co-editor if the Wiley titles Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems (2005) and Application of Modern Heuristic Optimization Methods in Power and Energy Systems (2020).

部分目录，仅供参考

Author Biographies xvii

Preface xix

Acknowledgments xxv

Part I Generation Expansion Planning 1

1 Introduction 3

1.1 Electricity Outlook 3

1.2 Renewables 8

1.3 Power System Planning 12

2 Background on Generation Expansion Planning 15

2.1 Methodology and Issues 15

2.2 Formulation of the Least-Cost Generation Expansion Planning Problem 18

3 Cost Assessment and Methodologies in Generation Expansion Planning 21

3.1 Basic Cost Concepts 21

3.1.1 Annual Effective Discount Rate 22

3.1.2 Present Value 23

3.1.3 Relationship Between Salvage Value and Depreciation Cost 24

3.2 Methodologies 26

3.2.1 Dynamic Programming 26

3.2.2 Linear Programming 27

3.2.2.1 Investment Cost (Capital Cost) 27

3.2.2.2 Operating Cost 27

3.2.2.3 LP Formula 28

3.2.3 Integer Programming 28

3.2.4 Multi-objective Linear Programming 28

3.2.5 Genetic Algorithm 29

3.2.6 Game Theory 30

3.2.7 Reliability Worth 32

3.2.8 Maximum Principle 32

3.3 Conventional Approach for Load Modeling 34

3.3.1 Load Duration Curve 34

4 Load Model and Generation Expansion Planning 39

4.1 Introduction 39

4.2 Analytical Approach for Long-Term Generation Expansion Planning 40

4.2.1 Representation of Random Load Fluctuations 41

4.2.2 Available Generation Capacities 43

4.2.3 Expected Plant Outputs 44

4.2.4 Expected Annual Energy 47

4.2.5 Reliability Measures 47

4.2.5.1 Expected Annual Unserved Energy 47

4.2.5.2 Annual Loss-of-Load Probability 47

4.2.6 Expected Annual Cost 48