Microgrid Dynamics and Control

Hassan Bevrani, PhD, is a Professor at University of Kurdistan, Kurdistan, Iran. Bruno Francois, PhD, is a Professor at Centrale Lille, Lille, France. Toshifumi Ise, PhD, is a Professor at Osaka University, Osaka, Japan.

Dedication Foreword Preface Acknowledgments Chapter 1: Grid-Connected Renewable Energy Sources 1.1 Introduction 1.2 Renewable Power Generation 1.3 Grid-Connected Wind Power 1.4 Grid-Connected PV Power 1.5 Summary 1.6 References Chapter 2: Renewable Power for Control Support 2.1 Introduction 2.2 Wind Energy-based Control Support 2.3 RES Primary Power Reserve 2.4 PV Energy-based Control Support 2.5 Integration of RESs Through Microgrids 2.6 Summary 2.7 References Chapter 3: Microgrids: Concept, Structure and Operation Modes 3.1 Introduction 3.2 Microgrid Concept and Structure 3.3 Operation Modes 3.4 Control Mechanism of the Connected DGs to a Microgrid 3.5 Contribution in the Upstream Grid Ancillary Services: Frequency Support Example 3.6 Microgrids Laboratory Technologies 3.7 Summary 3.8 References Chapter 4: Microgrid Dynamics and Modeling 4.1 Introduction 4.2 Distribution Network (Main Grid) and Connection Modeling 4.3 Overall Representation of the Grid-connected MG 4.4 MG Components Dynamics and Modeling 4.5 Simplified MG Frequency Response Model 4.6 Detailed State-Space Dynamic Model 4.7 MG Dynamic Modeling and Analysis as a Multivariable System 4.8 Summary 4.9 References Chapter 5: Hierarchical Microgrid Control 5.1 Introduction 5.2 Microgrid Control Hierarchy 5.3 Droop Control 5.4 Hierarchical Power management and Control 5.5 Design Example 5.6 Summary 5.7 References Chapter 6: Dc Microgrid Control 6.1 Introduction 6.2 DC Microgrid for Residential Area 6.3 Low-Voltage Bipolar-Type DC Microgrid 6.4 Stability Evolution 6.5 Experimental Study and Results 6.6 A Voltage Control Approach 6.7 Simulation Results 6.8. Experimental Results 6.9 Summary 6.10 References Chapter 7: Virtual Synchronous Generators: Dynamic Performance and Characteristics 7.1 Introduction 7.2 VSG and Droop Control 7.3 VSG-based Oscillation Damping 7.4 A VSG Scheme with Emulating More SG Characteristics 7.5 Active Power Performance Analysis in an MG with Multiple VSGs 7.6 Summary 7.7 References Chapter 8: Virtual Inertia-Based Stability and Regulation Support 8.1 Introduction 8.2 An Enhanced VSG Control Scheme 8.3 VSG Control in Parallel Operation With SG 8.4 Alternating Inertia-based VSG Control 8.5 Voltage Sag Ride-Through Enhancement Using VSG 8.6 Performance Evaluation of the VSG with More SG Characteristics 8.7 Summary 8.8 References Chapter 9: Robust Microgrid Control Synthesis 9.1 Introduction 9.2 Case Study and State-Space Model 9.3 H and Structured Singular Value ( ) Control Theorems 9.4 H -based Control Design 9.5 based Control Design 9.6 Order Reduction and Application Results 9.7 Robust Multivariable MG Control Design 9.8 Robust Tuning of VSG Parameters 9.9 Summary 9.10 References Chapter 10: Intelligent Microgrid Operation and Control 10.1 Introduction 10.2 Intelligent Control Technologies 10.3 ANNs-based Power and Load Forecasting in Microgrid 10.4 Intelligent Frequency and Voltage Control in Microgrids 10.5 Summary 10.6 References Chapter 11: Emergency Control and Load Shedding in Microgrids 11.1 Introduction 11.2 Load Shedding as a Well-Known Emergency Control Strategy 11.3 Load Shedding Algorithm: Example 1 11.4 Load Shedding Algorithm: Example 2 11.5 On Under Voltage-Frequency Load Shedding 11.6 Summary 11.7 References Chapter 12: Microgrid Planning and Energy Management 12.1 Introduction 12.2 Microgrid Planning: An Example 12.3 Forecasting Techniques 12.4 Energy Management 12.5 Emission Reduction and Economical Optimization 12.6 Day-Ahead Optimal Operation and Power Reserve Dispatchin 12.7 Robust Energy Consumption Scheduling in Interconnected Microgrids 12.8 Summary 12.9 References Appendix Index