Power System Wide–area Stability Analysis and Control

Inbunden, Engelska, 2018

1 504 kr

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Beskrivning

An essential guide to the stability and control of power systems integrating large-scale renewable energy sourcesThe rapid development of smart grids and the integration of large scale renewable energy have added daunting new layers of complexity to the long-standing problem of power system stability control. This book offers a systematic stochastic analysis of these nonlinear problems and provides comprehensive countermeasures to improve power system performance and control with large-scale, hybrid power systems.Power system stability analysis and control is by no means a new topic. But the integration of large scale renewable energy sources has added many new challenges which must be addressed, especially in the areas of time variance, time delay, and uncertainties. Robust, adaptive control strategies and countermeasures are the key to avoiding inadequate, excessive, or lost loads within hybrid power systems. Written by an internationally recognized innovator in the field this book describes the latest theory and methods for handling power system angle stability within power networks. Dr. Jing Ma analyzes and provides control strategies for large scale power systems and outlines state-of-the-art solutions to the entire range of challenges facing today’s power systems engineers. Features nonlinear, stochastic analysis of power system stability and controlOffers proven countermeasures to optimizing power system performanceFocuses on nonlinear time-variance, long time-delays, high uncertainties and comprehensive countermeasuresEmphasizes methods for analyzing and addressing time variance and delay when integrating large-scale renewable energyIncludes rigorous algorithms and simulations for the design of analysis and control modelingPower System Wide-area Stability Analysis and Control is must-reading for researchers studying power system stability analysis and control, engineers working on power system dynamics and stability, and graduate students in electrical engineering interested in the burgeoning field of smart, wide-area power systems.

Produktinformation

Utgivningsdatum:2018-06-19
Mått:170 x 249 x 23 mm
Vikt:674 g
Format:Inbunden
Språk:Engelska
Antal sidor:364
Förlag:John Wiley and Sons Ltd
ISBN:9781119304845

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik

Mer om författaren

JING MA, PhD, is a professor in the School of Electrical and Electronic Engineering at North China Electric Power University, Beijing, China. He is a lead member of the National Science and Technology Support Program of China and a consultant with the China Electric Power Research Institute. Dr. Ma pioneered the application of Guardian Map Theory, Perturbation Theory, and the Markov model for the analysis of large time-varying, strong time-delay and high uncertainties into power system stability analysis process. He has innovated robust and adaptive control strategies using Federated Kalman Filters, Dual Youla Parameterization and Classification and Regression Tree to establish a wide-area control system with high accuracy and efficiency.

Innehållsförteckning

About the Author ixPreface xi1 Basic Theories of Power System Security Defense 11.1 Introduction 11.2 Power System Reliability and Stability 21.2.1 Reliability of Power System 21.2.2 Stability of Power System 41.3 Three Defense Lines in the Power System 71.3.1 Classification of Disturbance in the Power System 71.3.2 Power System Operation State 81.3.3 Three Defense Lines in Power System Stability Control 101.3.4 Functions of Defense System 121.4 Summary 15References 152 Power System Analysis and Control Theory 172.1 Introduction 172.2 Mathematical Model of Power System 172.2.1 Mathematical Model of Synchronous Generator 172.2.2 Mathematical Model of Excitation System 222.2.3 Mathematical Model of Prime Mover and Speed Governor 242.2.4 Mathematical Model of Load 272.3 Power System Stability Analysis Method 292.3.1 Time‐Domain Simulation Method 292.3.2 Eigenvalue Analysis Method 312.3.3 Transient Energy Function Method 332.4 Automatic Control Theory 332.4.1 Classical Control Theory 342.4.2 Modern Control Theory 352.4.3 Large System Theory and Intelligent Control Theory 362.5 Summary 38References 383 Wide‐Area Information Monitoring 413.1 Introduction 413.2 Test System 413.2.1 Four‐Generator Two‐Area System 413.2.2 Sixteen‐Generator System 423.2.3 Western Electricity Coordinating Council 433.3 Optimal Selection of Wide‐Area Signal 443.3.1 Wide‐Area Signal Selection Method Based on the Contribution Factor 443.3.2 Simulation Verification 483.4 Optimal Selection of Wide‐Area Controller 573.4.1 Mathematical Background 573.4.2 Example Test System 623.4.3 GPSS Based on Collocated Controller Design 633.4.4 Testing Results and Analysis 643.5 Summary 70References 714 Stability Analysis of Stochastic System 734.1 Introduction 734.2 Stability Analysis of Stochastic Parameter System 744.2.1 Interval Model and Second‐Order Perturbation Theory‐Based Modal Analysis 744.2.2 Power System Small‐Signal Stability Region Calculation Method Based on the Guardian Map Theory 824.3 Stability Analysis of Stochastic Structure System 1024.3.1 Model‐Trajectory‐Based Method for Analyzing the Fault System 1024.3.2 Angle Stability Analysis of Power System Considering Cascading Failure 1194.4 Stability Analysis of Stochastic Excitation System 1374.4.1 Model of Multiple Operating Conditions System Considering the Stochastic Characteristic of Wind Speed 1374.4.2 Simulation Analysis 1464.5 Summary 152References 1535 Stability Analysis of Time‐Delay System 1555.1 Introduction 1555.2 Stability Analysis of a Non‐Jump Time‐Delay System 1565.2.1 Stochastic Stability Analysis of Power System with Time Delay Based on Itô Differential 1565.2.2 Stochastic Time‐Delay Stability Analysis of a Power System with Wind Power Connection 1685.3 Stability Analysis of a Jump Time‐Delay System 1825.3.1 Jump Power System Time‐Delay Stability Analysis Based on Discrete Markov Theory 1825.3.2 Time‐Delay Stability Analysis of Power System Based on the Fault Chains and Markov Process 1965.4 Summary 208Appendix A 209References 2106 Wide‐Area Robust Control 2136.1 Introduction 2136.2 Robust Control for Internal Uncertainties 2146.2.1 Multiobjective Robust H 2 /H ∞ Control Considering Uncertainties for Damping Oscillation 2146.2.2 Robust H 2 /H ∞ Control Strategy Based on Polytope Uncertainty 2216.3 Optimal Robust Control 2266.3.1 Wide‐Area Damping Robust Control Based on Nonconvex Stable Region 2266.3.2 Wide‐Area Damping Robust H 2 /H ∞ Control Strategy Based on Perfect Regulation 2366.4 Error Tracking Robust Control 2436.4.1 Control Algorithm 2456.4.2 Simulation Verification 2486.5 Summary 251References 2527 Wide‐Area Adaptive Control 2537.1 Introduction 2537.2 Adaptive Control Considering Operating Condition Identification 2547.2.1 Federated Kalman Filter Based Adaptive Damping Control of Inter‐Area Oscillations 2547.2.2 Classification and Regression Tree Based Adaptive Damping Control of Inter‐Area Oscillations 2687.3 Adaptive Control Considering Controller Switching 2887.3.1 Dual Youla Parameterization Based Adaptive Wide‐Area Damping Control 2887.3.2 Continuous Markov Model Based Adaptive Control Strategy for Time‐Varying Power System 3037.3.3 Discrete Markov Model Based Adaptive Control Strategy of Multiple‐Condition Power System 3187.3.4 Adaptive Controller Switching Considering Time Delay 3277.4 Summary 339References 340Index 341