Model Predictive Control for Microgrids: From power electronic converters to energy management (Energy Engineering)

✍ Scribed by Jiefeng Hu, Josep M. Guerrero, Syed Islam

• Publisher: The Institution of Engineering and Technology
• Year: 2021
• Tongue: English
• Leaves: 332
• Category: Library

✦ Synopsis

Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well.

This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments.

Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization.

✦ Table of Contents

Halftitle Page
Series Page
Title Page
Copyright
Contents
List of figures
List of tables
About the authors
Abbreviations
Chapter 1: Introduction
1.1 Microgrid fundamentals
1.2 Operation considerations
1.2.1 Power sharing
1.2.2 Power balancing
1.2.3 Power quality
1.2.4 Seamless mode transition
1.2.5 System stability
1.3 Key technologies and challenges
1.3.1 New semiconductor devices
1.3.2 Power electronic converters and control
1.3.3 Renewable intermittency
1.3.4 Lack of systematic approaches
1.3.5 Large-scale grid integration and its impact on the main grid
1.3.6 Energy storage
1.3.7 Smart sensors
1.3.8 Information and communication technology
References
Chapter 2: Power electronic converters and control
2.1 Power electronic converters in energy conversion
2.1.1 DC–DC converters
2.1.2 DC–AC converters (inverters)
2.1.2.1 Grid-forming inverters
2.1.2.2 Grid-feeding inverters
2.1.2.3 Grid-supporting inverter
2.2 Control of a single converter
2.2.1 Voltage-oriented control
2.2.2 Direct control
2.2.3 Fuzzy logic control
2.2.4 Sliding mode control
2.2.5 Predictive control
2.2.5.1 Deadbeat-based predictive control
2.2.5.2 VPC
2.2.5.3 MPC
2.3 Control of parallel inverters
2.3.1 Centralized control
2.3.2 Circular chain control
2.3.3 Master-slave control
2.3.4 Average load sharing
2.3.5 Droop control
References
Further reading
Chapter 3: Distributed renewable power generation
3.1 Distributed generation
3.2 Wind power generation
3.2.1 Wind turbine characteristics
3.2.2 Constant speed constant frequency system
3.2.3 VSCF system
3.2.3.1 Wound field synchronous generator
3.2.3.2 Permanent-magnet synchronous generator
3.2.3.3 Doubly fed induction generator
3.2.3.4 Squirrel cage induction generator
3.2.4 Recent advances in wind power generation
3.3 Solar PVs generation
3.3.1 Principle and configuration of PV systems
3.3.2 Power converters and recent advance of MPC for PV systems
3.3.2.1 Single-phase single-stage
3.3.2.2 Single-phase multiple-stage
3.3.2.3 Three-phase single-stage
3.3.2.4 MPPT control of PV system
3.3.2.5 Grid-side inverter control of PV system
References
Further reading
Chapter 4: Modeling and hierarchical control of microgrids
4.1 Modeling of MGs
4.2 Hierarchical control architecture of MGs
4.2.1 Primary control
4.2.2 Secondary control
4.2.2.1 Centralized secondary control
4.2.2.2 Distributed secondary control
4.2.2.3 Decentralized secondary control
4.2.3 Tertiary control
References
Further reading
Chapter 5: MPC of PV-wind-storage microgrids
5.1 Introduction
5.2 Modeling of PV system and its control structure
5.3 Modeling of wind turbine system and its control structure
5.4 Modeling of ESS and its control structure
5.5 Modeling of the AC subgrid and its control structure
5.6 System level control
5.6.1 Mode 1 operation
5.6.2 Mode 2 operation
5.6.2.1 Low wind speed, low solar irradiation, and heavy load
5.6.2.2 High wind speed, high solar irradiation, and light load
5.6.3 Mode 3 operation
5.7 Case studies
5.7.1 Fluctuation output from renewable energy
5.7.2 Grid-connected operation
5.7.3 Islanded operation
5.7.4 Grid-synchronization and connection
5.8 Conclusion
References
Further reading
Chapter 6: MPC of PV-ESS MGs with voltage support
6.1 Introduction
6.2 Model predictive power control scheme
6.3 Voltage support
6.4 Verification
6.4.1 Flexible power injection from PV-ESS
6.4.2 Grid voltage support by PV-ESS
6.5 Conclusion
References
Further reading
Chapter 7: MPC of parallel PV-ESS microgrids
7.1 Introduction
7.2 MPCC for solar PVs
7.3 MPPC of BESS DC–DC converters
7.4 MPVC of parallel inverters
7.5 Verification
7.5.1 MPPT of PV system
7.5.2 Charging and discharging processes of BESS
7.5.3 Power sharing between parallel inverters
7.6 Conclusion
References
Further reading
Chapter 8: MPC of MGs with secondary restoration capability
8.1 Background and system configuration
8.2 Washout filter-based power-sharing method
8.3 Improved model predictive voltage control scheme
8.4 Results
8.5 Conclusion
References
Further reading
Chapter 9: MPC of MGs with tertiary power flow optimization
9.1 Tertiary control of MGs and MPC
9.2 MPC for economic dispatch and optimal power flow in MGs
9.3 MPC for networked MGs
9.4 Future trend
9.4.1 New mathematical formulation
9.4.2 Holistic and intelligent MPC approaches
9.4.3 MPC in DC MGs
9.4.4 Distributed and decentralized control
9.5 Conclusion
References
Further reading
Index
Back Cover