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Merging optimization and control in power systems : physical and cyber restrictions in distributed frequency control and beyond

Liu, Feng (Electrical engineering teacher), author.

Merging optimization and control in power systems : physical and cyber restrictions in distributed frequency control and beyond

Liu, Feng (Electrical engineering teacher), author.

9781119827955

9781119827931

9781119827962

First edition.

1 online resource.

Wiley-IEEE press book series on control systems theory and applications

Includes index.

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

"With the increasing penetration of renewable energy sources and the promotion of Energy Internet, the power system is in a significant transition period, bringing major challenges for power system control. This book aims to provide a comprehensive and systematic framework to design distributed optimal controllers with cyber and physical restrictions. It introduces the idea of bridging the gap between optimization and control and shows how to handle various kinds of physical and cyber restrictions or special considerations. Related state-of-the-art methods are introduced and illustrated in detail with hands-on examples for readers to learn how to use them to address real control design problems in practice. Requiring foundational knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, this is an advanced level treatment for students, academics, and professional engineers"-- Provided by publisher.

John Wiley and Sons

Electric power systems -- Control.

Réseaux électriques (Énergie) -- Régulation.

System Theory.

Power Resources.

TECHNOLOGY & ENGINEERING.

Electrical.

SCIENCE.

Electric power systems -- Control

Electronic books.

https://onlinelibrary.wiley.com/doi/book/10.1002/9781119827962