Stability Constrained Optimization for Modern Power System Operation - and Plannin

Stability-Constrained Optimization for Modern Power System Operation and Planning
 
Comprehensive treatment of an aspect of stability constrained operations and planning, including the latest research and engineering practices
 
Stability-Constrained Optimization for Modern Power System Operation and Planning focuses on the subject of power system stability. Unlike other books in this field, which focus mainly on the dynamic modeling, stability analysis, and controller design for power systems, this book is instead dedicated to stability-constrained optimization methodologies for power system stability enhancement, including transient stability-constrained power system dispatch and operational control, and voltage stability-constrained dynamic VAR Resources planning in the power grid.
 
Authored by experts with established track records in both research and industry, Stability-Constrained Optimization for Modern Power System Operation and Planning covers three parts:
* Overview of power system stability, including definition, classification, phenomenon, mathematical models and analysis tools for stability assessment, as well as a review of recent large-scale blackouts in the world
* Transient stability-constrained optimal power flow (TSC-OPF) and transient stability constrained-unit commitment (TSC-UC) for power system dispatch and operational control, including a series of optimization model formulations, transient stability constraint construction and extraction methods, and efficient solution approaches
* Optimal planning of dynamic VAR Resources (such as STATCOM and SVC) in power system for voltage stability enhancement, including a set of voltage stability indices, candidate bus selection methods, multi-objective optimization model formulations, and high-quality solution approaches
 
Stability-Constrained Optimization for Modern Power System Operation and Planning provides the latest research findings to scholars, researchers, and postgraduate students who are seeking optimization methodologies for power system stability enhancement, while also offering key practical methods to power system operators, planners, and optimization algorithm developers in the power industry.

Inhaltsverzeichnis

About the Authors xvii
 
Foreword xix
 
Preface xxi
 
Part I Power System Stability Preliminaries 1
 
1 Power System Stability: Definition, Classification, and Phenomenon 5
 
1.1 Introduction 5
 
1.2 Definition 6
 
1.3 Classification 6
 
1.4 Rotor Angle Stability 7
 
1.5 Voltage Stability 10
 
1.6 Frequency Stability 12
 
1.7 Resonance Stability 14
 
1.8 Converter-Driven Stability 16
 
2 Mathematical Models and Analysis Methods for Power System Stability 19
 
2.1 Introduction 19
 
2.2 General Mathematical Model 19
 
2.3 Transient Stability Criteria 20
 
2.4 Time-Domain Simulation 21
 
2.5 Extended Equal-Area Criterion (EEAC) 23
 
2.6 Trajectory Sensitivity Analysis 26
 
3 Recent Large-Scale Blackouts in the World 33
 
3.1 Introduction 33
 
3.2 Major Blackouts in the World 33
 
Part II Transient Stability-Constrained Dispatch and Operational Control 45
 
4 Power System Operation and Optimization Models 49
 
4.1 Introduction 49
 
4.2 Overview and Framework of Power System Operation 49
 
4.3 Mathematical Models for Power System Optimal Operation 51
 
4.4 Power System Operation Practices 59
 
5 Transient Stability-Constrained Optimal Power Flow (TSC-OPF): Modeling and Classic Solution Methods 65
 
5.1 Mathematical Model 65
 
5.2 Discretization-based Method 66
 
5.3 Direct Method 68
 
5.4 Evolutionary Algorithm-based Method 70
 
6 Hybrid Method for Transient Stability-Constrained Optimal Power Flow 79
 
6.1 Introduction 79
 
6.2 Proposed Hybrid Method 80
 
6.3 Technical Specification 83
 
6.4 Case Studies 85
 
7 Data-Driven Method for Transient Stability-Constrained Optimal Power Flow 97
 
7.1 Introduction 97
 
7.2 Decision Tree-based Method 98
 
7.3 Pattern Discovery-based Method 103
 
7.4 Case Studies 110
 
8 Transient Stability-Constrained Unit Commitment (TSCUC) 133
 
8.1 Introduction 133
 
8.2 TSC-UC model 134
 
8.3 Transient Stability Control 135
 
8.4 Decomposition-based Solution Approach 137
 
8.5 Case Studies 140
 
9 Transient Stability-Constrained Optimal Power Flow under Uncertainties 155
 
9.1 Introduction 155
 
9.2 TSC-OPF Model with Uncertain Dynamic Load Models 157
 
9.3 Case Studies for TSC-OPF Under Uncertain Dynamic Loads 164
 
9.4 TSC-OPF Model with Uncertain Wind Power Generation 170
 
9.5 Case Studies for TSC-OPF Under Uncertain Wind Power 175
 
9.6 Discussions and Concluding Remarks 189
 
10 Optimal Generation Rescheduling for Preventive Transient Stability Control 195
 
10.1 Introduction 195
 
10.2 Trajectory Sensitivity Analysis for Transient Stability 196
 
10.3 Transient Stability Preventive Control Based on Critical OMIB 198
 
10.4 Case Studies of Transient Stability Preventive Control Based on the Critical OMIB 202
 
10.5 Transient Stability Preventive Control Based on Stability Margin 213
 
10.6 Case Studies of Transient Stability Preventive Control Based on Stability Margin 217
 
11 Preventive-Corrective Coordinated Transient Stability-Constrained Optimal Power Flow under Uncertain Wind Power 233
 
11.1 Introduction 233
 
11.2 Framework of the PC--CC Coordinated TSC-OPF 234
 
11.3 PC--CC Coordinated Mathematical Model 235
 
11.4 Solution Method for the PC--CC Coordinated Model 239
 
11.5 Case Studies 243
 
12 Robust Coordination of Preventive Cont

Über den Autor / die Autorin

Yan Xu obtained B.E. and M.E. degrees from South China University of Technology, China, and the Ph.D. from University of Newcastle, Australia, in 2008, 2011, and 2013, respectively. He conducted postdoctoral research with the University of Sydney Postdoctoral Fellowship, and then joined Nanyang Technological University (NTU) with the Nanyang Assistant Professorship. He is now an Associate Professor at the School of Electrical and Electronic Engineering, and a Cluster Director at the Energy Research Institute, Nanyang Technological University, Singapore (ERI@N). His research interests include power system stability, microgrid, and data analytics for smart grid applications. He is an Editor for IEEE Trans. Smart Grid and IEEE Trans. Power Systems. Yuan Chi received B.E. degree from Southeast University, Nanjing, China, in 2009, and the M.E. degree from Chongqing University, Chongqing, China, in 2012, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2021. From 2012 to 2017, he worked as an Electrical Engineer of Power System Planning consecutively with State Grid Chongqing Electric Power Research Institute and Chongqing Economic and Technological Research Institute. He is currently a Research Associate with Chongqing University. His research interests include planning, resilience, and voltage stability of power systems. Heling Yuan received B.E., M.Sc., and Ph.D. degrees from North China Electric Power University, Beijing, China, and the University of Manchester, and Nanyang Technological University (NTU), Singapore, in 2016, 2017, and 2022, respectively. She is currently a Research Fellow at Rolls-Royce @ NTU Corporate Lab, Singapore. Her research interests include modeling, optimization, stability analysis and control of power systems.

Produktdetails

• Autoren: Yuan Chi, Chi Yuan, Yan Xu, Yan (Nanyang Technological University Xu, Xu Yan, Heling Yuan
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 24.05.2023
• EAN: 9781119848868
• ISBN: 978-1-119-84886-8
• Seiten: 496
• Serien: IEEE Press Series on Power Engineering; IEEE Press Series on Power and Energy Systems
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Elektronik, Elektrotechnik, Nachrichtentechnik; Energie, Erneuerbare Energien, ENERGY, smart grid, Renewable Energy, Elektrische Energietechnik, Electric Power Systems