Cover Image

Merging Optimization and Control in Power Systems : Physical and Cyber Restrictions in Distributed Frequency Control and Beyond /

Merging Optimization and Control in Power Systems A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions In Merging Optimization and Control in Power Systems an accomplished team of engineers deliver a comprehensive introduction to...

Full description

Bibliographic Details
Main Authors: Liu, Feng (Author), Wang, Zhaojian (Author), Zhao, Changhong (Author), Yang, Peng (Author)
Format: eBook
Language:English
Published: Newark, New Jersey : John Wiley & Sons, Incorporated, [2022]
Series:IEEE Press Series on Control Systems Theory and Applications
Subjects:
Electric power systems > Control.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Foreword
  • Preface
  • Acknowledgments
  • Chapter 1 Introduction
  • 1.1 Traditional Hierarchical Control Structure
  • 1.1.1 Hierarchical Frequency Control
  • 1.1.1.1 Primary Frequency Control
  • 1.1.1.2 Secondary Frequency Control
  • 1.1.1.3 Tertiary Frequency Control
  • 1.1.2 Hierarchical Voltage Control
  • 1.1.2.1 Primary Voltage Control
  • 1.1.2.2 Secondary Voltage Control
  • 1.1.2.3 Tertiary Voltage Control
  • 1.2 Transitions and Challenges
  • 1.3 Removing Central Coordinators: Distributed Coordination
  • 1.3.1 Distributed Control
  • 1.3.2 Distributed Optimization
  • 1.4 Merging Optimization and Control
  • 1.4.1 Optimization-Guided Control
  • 1.4.2 Feedback-Based Optimization
  • 1.5 Overview of the Book
  • Bibliography
  • Chapter 2 Preliminaries
  • 2.1 Norm
  • 2.1.1 Vector Norm
  • 2.1.2 Matrix Norm
  • 2.2 Graph Theory
  • 2.2.1 Basic Concepts
  • 2.2.2 Laplacian Matrix
  • 2.3 Convex Optimization
  • 2.3.1 Convex Set
  • 2.3.1.1 Basic Concepts
  • 2.3.1.2 Cone
  • 2.3.2 Convex Function
  • 2.3.2.1 Basic Concepts
  • 2.3.2.2 Jensen's Inequality
  • 2.3.3 Convex Programming
  • 2.3.4 Duality
  • 2.3.5 Saddle Point
  • 2.3.6 KKT Conditions
  • 2.4 Projection Operator
  • 2.4.1 Basic Concepts
  • 2.4.2 Projection Operator
  • 2.5 Stability Theory
  • 2.5.1 Lyapunov Stability
  • 2.5.2 Invariance Principle
  • 2.5.3 Input-Output Stability
  • 2.6 Passivity and Dissipativity Theory
  • 2.6.1 Passivity
  • 2.6.2 Dissipativity
  • 2.7 Power Flow Model
  • 2.7.1 Nonlinear Power Flow
  • 2.7.1.1 Bus Injection Model (BIM)
  • 2.7.1.2 Branch Flow Model (BFM)
  • 2.7.2 Linear Power Flow
  • 2.7.2.1 DC Power Flow
  • 2.7.2.2 Linearized Branch Flow
  • 2.8 Power System Dynamics
  • 2.8.1 Synchronous Generator Model
  • 2.8.2 Inverter Model
  • Bibliography
  • Chapter 3 Bridging Control and Optimization in Distributed Optimal Frequency Control
  • 3.1 Background
  • 3.1.1 Motivation
  • 3.1.2 Summary
  • 3.1.3 Organization
  • 3.2 Power System Model
  • 3.2.1 Generator Buses
  • 3.2.2 Load Buses
  • 3.2.3 Branch Flows
  • 3.2.4 Dynamic Network Model
  • 3.3 Design and Stability of Primary Frequency Control
  • 3.3.1 Optimal Load Control
  • 3.3.2 Main Results
  • 3.3.3 Implications
  • 3.4 Convergence Analysis
  • 3.5 Case Studies
  • 3.5.1 Test System
  • 3.5.2 Simulation Results
  • 3.6 Conclusion and Notes
  • Bibliography
  • Chapter 4 Physical Restrictions: Input Saturation in Secondary Frequency Control
  • 4.1 Background
  • 4.2 Power System Model
  • 4.3 Control Design for Per-Node Power Balance
  • 4.3.1 Control Goals
  • 4.3.2 Decentralized Optimal Controller
  • 4.3.3 Design Rationale
  • 4.3.3.1 Primal-Dual Algorithms
  • 4.3.3.2 Design of Controller (4.6)
  • 4.4 Optimality and Uniqueness of Equilibrium
  • 4.5 Stability Analysis
  • 4.6 Case Studies
  • 4.6.1 Test System
  • 4.6.2 Simulation Results
  • 4.6.2.1 Stability and Optimality
  • 4.6.2.2 Dynamic Performance
  • 4.6.2.3 Comparison with AGC