Dynamic Vulnerability Assessment and Intelligent Control

Dynamic Vulnerability Assessment and Intelligent Control

by José Luis Rueda-Torres, Francisco González-Longatt
Released March 2018
Publisher(s): Wiley-IEEE Press
ISBN: 9781119214953

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

Identifying, assessing, and mitigating electric power grid vulnerabilities is a growing focus in short-term operational planning of power systems. Through illustrated application, this important guide surveys state-of-the-art methodologies for the assessment and enhancement of power system security in short term operational planning and real-time operation. The methodologies employ advanced methods from probabilistic theory, data mining, artificial intelligence, and optimization, to provide knowledge-based support for monitoring, control (preventive and corrective), and decision making tasks.

Key features:

  • Introduces behavioural recognition in wide-area monitoring and security constrained optimal power flow for intelligent control and protection and optimal grid management.
  • Provides in-depth understanding of risk-based reliability and security assessment, dynamic vulnerability assessment methods, supported by the underpinning mathematics.
  • Develops expertise in mitigation techniques using intelligent protection and control, controlled islanding, model predictive control, multi-agent and distributed control systems
  • Illustrates implementation in smart grid and self-healing applications with examples and real-world experience from the WAMPAC (Wide Area Monitoring Protection and Control) scheme.

Dynamic Vulnerability Assessment and Intelligent Control for Power Systems is a valuable reference for postgraduate students and researchers in power system stability as well as practicing engineers working in power system dynamics, control, and network operation and planning.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. List of Contributors
  5. Foreword
  6. Preface
    1. Part I: Dynamic Vulnerability Assessment
    2. PART II: Intelligent Control
  7. Chapter 1: Introduction: The Role of Wide Area Monitoring Systems in Dynamic Vulnerability Assessment
    1. 1.1 Introduction
    2. 1.2 Power System Vulnerability
    3. 1.3 Power System Vulnerability Symptoms
    4. 1.4 Synchronized Phasor Measurement Technology
    5. 1.5 The Fundamental Role of WAMS in Dynamic Vulnerability Assessment
    6. 1.6 Concluding Remarks
    7. References
  8. Chapter 2: Steady-State Security
    1. 2.1 Power System Reliability Management: A Combination of Reliability Assessment and Reliability Control
    2. 2.2 Reliability Under Various Timeframes
    3. 2.3 Reliability Criteria
    4. 2.4 Reliability and Its Cost as a Function of Uncertainty
    5. 2.5 Conclusion
    6. References
  9. Chapter 3: Probabilistic Indicators for the Assessment of Reliability and Security of Future Power Systems
    1. 3.1 Introduction
    2. 3.2 Time Horizons in the Planning and Operation of Power Systems
    3. 3.3 Reliability Indicators
    4. 3.4 Reliability Analysis
    5. 3.5 Application Example: EHV Underground Cables
    6. 3.6 Conclusions
    7. References
  10. Chapter 4: An Enhanced WAMS-based Power System Oscillation Analysis Approach
    1. 4.1 Introduction
    2. 4.2 HHT Method
    3. 4.3 The Enhanced HHT Method
    4. 4.4 Enhanced HHT Method Evaluation
    5. 4.5 Application to Real Wide Area Measurements
    6. 4.6 Summary
    7. References
  11. Chapter 5: Pattern Recognition-Based Approach for Dynamic Vulnerability Status Prediction
    1. 5.1 Introduction
    2. 5.2 Post-contingency Dynamic Vulnerability Regions
    3. 5.3 Recognition of Post-contingency DVRs
    4. 5.4 Real-Time Vulnerability Status Prediction
    5. 5.5 Concluding Remarks
    6. References
  12. Chapter 6: Performance Indicator-Based Real-Time Vulnerability Assessment
    1. 6.1 Introduction
    2. 6.2 Overview of the Proposed Vulnerability Assessment Methodology
    3. 6.3 Real-Time Area Coherency Identification
    4. 6.4 TVFS Vulnerability Performance Indicators
    5. 6.5 Slower Phenomena Vulnerability Performance Indicators
    6. 6.6 Concluding Remarks
    7. References
  13. Chapter 7: Challenges Ahead Risk-Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems
    1. 7.1 Chapter Overview
    2. 7.2 Conventional (Deterministic) AC Optimal Power Flow (OPF)
    3. 7.3 Risk-Based OPF
    4. 7.4 OPF Under Uncertainty
    5. 7.5 Advanced Issues and Outlook
    6. References
  14. Chapter 8: Modeling Preventive and Corrective Actions Using Linear Formulation
    1. 8.1 Introduction
    2. 8.2 Security Constrained OPF
    3. 8.3 Available Control Actions in AC Power Systems
    4. 8.4 Linear Implementation of Control Actions in a SCOPF Environment
    5. 8.5 Case Study of Preventive and Corrective Actions
    6. 8.6 Conclusions
    7. References
  15. Chapter 9: Model-based Predictive Control for Damping Electromechanical Oscillations in Power Systems
    1. 9.1 Introduction
    2. 9.2 MPC Basic Theory & Damping Controller Models
    3. 9.3 MPC for Damping Oscillations
    4. 9.4 Test System & Simulation Setting
    5. 9.5 Performance Analysis of MPC Schemes
    6. 9.6 Conclusions and Discussions
    7. References
  16. Chapter 10: Voltage Stability Enhancement by Computational Intelligence Methods
    1. 10.1 Introduction
    2. 10.2 Theoretical Background
    3. 10.3 Test Power System
    4. 10.4 Example 1: Preventive Measure
    5. 10.5 Example 2: Corrective Measure
    6. 10.6 Conclusions
    7. References
  17. Chapter 11: Smart Control of Offshore HVDC Grids
    1. 11.1 Introduction
    2. 11.2 Conventional Control Schemes in HV-MTDC Grids
    3. 11.3 Principles of Fuzzy-Based Control
    4. 11.4 Implementation of the Knowledge-Based Power-Voltage Droop Control Strategy
    5. 11.5 Optimization-Based Secondary Control Strategy
    6. 11.6 Simulation Results
    7. 11.7 Conclusion
    8. References
  18. Chapter 12: Model Based Voltage/Reactive Control in Sustainable Distribution Systems
    1. 12.1 Introduction
    2. 12.2 Background Theory
    3. 12.3 MPC Based Voltage/Reactive Controller – an Example
    4. 12.4 Test Results
    5. 12.5 Conclusions
    6. References
  19. Chapter 13: Multi-Agent based Approach for Intelligent Control of Reactive Power Injection in Transmission Systems
    1. 13.1 Introduction
    2. 13.2 System Model and Problem Formulation
    3. 13.3 Multi-Agent Based Approach
    4. 13.4 Case Studies and Simulation Results
    5. 13.5 Conclusions
    6. References
  20. Chapter 14: Operation of Distribution Systems Within Secure Limits Using Real-Time Model Predictive Control
    1. 14.1 Introduction
    2. 14.2 Basic MPC Principles
    3. 14.3 Control Problem Formulation
    4. 14.4 Voltage Correction With Minimum Control Effort
    5. 14.5 Correction of Voltages and Congestion Management with Minimum Deviation from References
    6. 14.6 Test System
    7. 14.7 Simulation Results: Voltage Correction with Minimal Control Effort
    8. 14.8 Simulation Results: Voltage and/or Congestion Corrections with Minimum Deviation from Reference
    9. 14.9 Conclusion
    10. References
  21. Chapter 15: Local Control of Distribution Networks
    1. 15.1 Introduction
    2. 15.2 Long-Term Voltage Stability
    3. 15.3 Impact of Volt-VAR Control on Long-Term Voltage Stability
    4. 15.4 Test System Description
    5. 15.5 Case Studies and Simulation Results
    6. 15.6 Conclusion
    7. References
  22. Chapter 16: Electric Power Network Splitting Considering Frequency Dynamics and Transmission Overloading Constraints
    1. 16.1 Introduction
    2. 16.2 Network Splitting Mechanism
    3. 16.3 Power Imbalance Constraint Limits
    4. 16.4 Overload Assessment and Control
    5. 16.5 Test Results
    6. 16.6 Conclusions and Recommendations
    7. References
  23. Chapter 17: High-Speed Transmission Line Protection Based on Empirical Orthogonal Functions
    1. 17.1 Introduction
    2. 17.2 Empirical Orthogonal Functions
    3. 17.3 Applications of EOFs for Transmission Line Protection
    4. 17.4 Study Case
    5. 17.5 Conclusions
    6. References
  24. Chapter 18: Implementation of a Real Phasor Based Vulnerability Assessment and Control Scheme: The Ecuadorian WAMPAC System
    1. 18.1 Introduction
    2. 18.2 PMU Location in the Ecuadorian SNI
    3. 18.3 Steady-State Angle Stability
    4. 18.4 Steady-State Voltage Stability
    5. 18.5 Oscillatory Stability
    6. 18.6 Ecuadorian Special Protection Scheme (SPS)
    7. 18.7 Concluding Remarks
    8. References
  25. Index
  26. End User License Agreement

Product information

  • Title: Dynamic Vulnerability Assessment and Intelligent Control
  • Author(s): José Luis Rueda-Torres, Francisco González-Longatt
  • Release date: March 2018
  • Publisher(s): Wiley-IEEE Press
  • ISBN: 9781119214953