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.
Autorentext
JAESEOK CHOI, PHD, is Full Professor at Gyeongsang National University and is a Fellow of the Korean Institute of Electrical Engineers. He is a senior member of the IEEE Power Engineering Society and participates in the Reliability, Risk, and Probability Applications Subcommittee.
KWANG Y. LEE, PHD, is Professor and Chair of Electrical and Computer Engineering at Baylor University and a Life Fellow of IEEE. He is a member of the Intelligent Systems Subcommittee and Station Control Subcommittee of the IEEE Power and Energy Society.
Klappentext
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.
Inhalt
About the authors
Preface
Acknowledgements
PART I Generation Expansion Planning
Chapter 1. Introduction
1.1 Electricity Outlook
1.2 Renewables
1.3 Power System Planning
Chapter 2. Background on Generation Expansion Planning
2.1 Methodology and Issues
2.2 Formulation of the Least-Cost Generation Expansion Planning Problem
Chapter 3. Cost Assessment and Methodologies in Generation Expansion Planning
3.1 Basic Cost Concepts
3.1.1. Annual Effective Discount Rate
3.1.2. Present Value
3.1.3. Relationship Between Salvage Value and Depreciation Cost
3.2 Methodologies
3.2.1. Dynamic Programming
3.2.2. Linear Programming
3.2.3. Integer Programming
3.2.4. Multi-objective Linear Programming
3.2.5. Genetic Algorithm
3.2.6. Game Theory
3.2.7. Reliability Worth
3.2.8. Maximum Principle
3.3 Conventional Approach for Load Modeling
3.3.1. Load Duration Curve
Chapter 4. Load Model and Generation Expansion Planning
4.1 Introduction
4.2 Analytical Approach for Long-Term Generation Expansion Planning
4.2.1. Representation of Random Load Fluctuations
4.2.2. Available Generation Capacities
4.2.3. Expected Plant Outputs
4.2.4. Expected Annual Energy
4.2.5. Reliability Measures
4.2.6. Expected Annual Cost
4.2.7. Expected Marginal Values
4.3 Optimal Utilization of Hydro Resources
4.3.1. Introduction
4.3.2. Conventional Peak-Shaving Operation and Its Problems
4.3.3. Peak-Shaving Operation Based on Analytical Production Costing Model
4.3.4. Optimization Procedure for Peak-Shaving Operation
4.4 Long-Range Generation Expansion Planning
4.4.1. Statement of Long-Range Generation Expansion Planning Problem
4.4.2. Optimization Procedures
4.5 Case Studies
4.5.1. Test for Accuracy of Formulas
4.5.2. Test for Solution Convergence and Computing Efficiency
4.6 Conclusions
Chapter 5. Probabilistic Production Simulation Model
5.1 Introduction
5.2 Effective Load Distribution Curve
5.3 Case Studies
5.3.1. Case Study I
5.3.2. Case Study II
5.3.3. Case Study III
5.4 Probabilistic Production Simulation Algorithm
5.4.1. Hartley Transform
Chapter 6. Decision Maker's Satisfaction using Fuzzy Set Theory
6.1 Introduction
6.2 Fuzzy Dynamic Programming
6.3 Best Generation Mix
6.3.1…