Microgrids: Design, Applications and Control 1536133965, 9781536133967
Microgrids: Design, Applications and Control presents a comprehensive discussion on the modeling and analysis of microgr
408 48 17MB
English Pages 151 [235] Year 2018
Table of contents :
Contents
Preface
Chapter 1
The Load Flow Method for Balanced and Unbalanced Microgrids Able to Operate Islanded and Connected to the Main Grid
Abstract
Introduction
Load Modeling
Renewables Modeling
Solar Photovoltaic Model
Wind Turbine Model
Load Flow Method for Balanced and Unbalanced Microgrids
Primary Droop Control
Secondary Control
Test Microgrid
Operational Limits
Results
Conclusion
Acknowledgment
References
Chapter 2
Autonomous Power Management in Microgrids Using Virtual Synchronous Generators
Abstract
Abbreviations
1. Introduction
2. VSG Control
3. APM
3.1. Power Command of the BAT
3.2. Power Command of the FC
3.3. Effectiveness of the Control Algorithm
4. Simulation Test Results
5. Experimental Test Results
Conclusion
References
Chapter 3
The Application of Microgrids in Service Restoration in the Aftermath of Natural Disasters
Abstract
Introduction
Assumptions
Mathematical Models for DER Units
Dispatchable DG Units
Problem Formulation
Objective Functions
Constraints
Solution Methodology
Case Study
Test System and Input Data
Simulation Results
Sensitivity Analysis Based on the Available Fuel
Conclusion
References
Chapter 4
Load Frequency Control in Shipboard Microgrids: The Hardware-in-the-Loop Simulation
Abstract
1. Introduction
2. The Modeling of a Shipboard Microgrid
A. The Model of an Isolated Shipboard MG
B. Wind Turbine Model
C. The Diesel Ship Power System Model
D. Model of Sea Wave Energy
E. Photovoltaic Generation
F. The General Scheme of Shipboard MG with LFC Controller
3. Fractional Order General Type-2 Fuzzy Logic Proportional–Integral–Derivative (FOGT2FPID) Controller
A. Non-Integer Calculus Basics
B. The General Type-II Fuzzy Logic Controller (GT2FLC)
C. Design of FOGT2FPID Controller
4. The Overview of Jaya Optimization Algorithm (JOA)
5. Hardware Implementation and Simulation Results
A. Case 1
B. Case 2
C. Case 3
Conclusion
References
Chapter 5
Load Frequency Control in a Microgrid Including Electric Vehicle Using Neuroscience Based Controllers
Abstract
Introduction
Literature Review
Hebb Learning Based Controller
Learning Methods for Weights
Human Brain Emotional Learning Controller
LFC Intelligent Control Based on Emotional Learning and Its Bi-Objective Control Structure
Model of Microgrid
Microgrid Model
The Control Structure
The Proposed Method
Simulation and Results
Scenario 1
Scenario 2
Scenario 3
Scenario 4
Conclusion
References
Chapter 6
Control Techniques
and the Mathematical Model of Microgrids
Chapter 7
Microgrid Control Methods:
An Overview
Abstract
Index
Blank Page
Contents
Preface
Chapter 1
The Load Flow Method for Balanced and Unbalanced Microgrids Able to Operate Islanded and Connected to the Main Grid
Abstract
Introduction
Load Modeling
Renewables Modeling
Solar Photovoltaic Model
Wind Turbine Model
Load Flow Method for Balanced and Unbalanced Microgrids
Primary Droop Control
Secondary Control
Test Microgrid
Operational Limits
Results
Conclusion
Acknowledgment
References
Chapter 2
Autonomous Power Management in Microgrids Using Virtual Synchronous Generators
Abstract
Abbreviations
1. Introduction
2. VSG Control
3. APM
3.1. Power Command of the BAT
3.2. Power Command of the FC
3.3. Effectiveness of the Control Algorithm
4. Simulation Test Results
5. Experimental Test Results
Conclusion
References
Chapter 3
The Application of Microgrids in Service Restoration in the Aftermath of Natural Disasters
Abstract
Introduction
Assumptions
Mathematical Models for DER Units
Dispatchable DG Units
Problem Formulation
Objective Functions
Constraints
Solution Methodology
Case Study
Test System and Input Data
Simulation Results
Sensitivity Analysis Based on the Available Fuel
Conclusion
References
Chapter 4
Load Frequency Control in Shipboard Microgrids: The Hardware-in-the-Loop Simulation
Abstract
1. Introduction
2. The Modeling of a Shipboard Microgrid
A. The Model of an Isolated Shipboard MG
B. Wind Turbine Model
C. The Diesel Ship Power System Model
D. Model of Sea Wave Energy
E. Photovoltaic Generation
F. The General Scheme of Shipboard MG with LFC Controller
3. Fractional Order General Type-2 Fuzzy Logic Proportional–Integral–Derivative (FOGT2FPID) Controller
A. Non-Integer Calculus Basics
B. The General Type-II Fuzzy Logic Controller (GT2FLC)
C. Design of FOGT2FPID Controller
4. The Overview of Jaya Optimization Algorithm (JOA)
5. Hardware Implementation and Simulation Results
A. Case 1
B. Case 2
C. Case 3
Conclusion
References
Chapter 5
Load Frequency Control in a Microgrid Including Electric Vehicle Using Neuroscience Based Controllers
Abstract
Introduction
Literature Review
Hebb Learning Based Controller
Learning Methods for Weights
Human Brain Emotional Learning Controller
LFC Intelligent Control Based on Emotional Learning and Its Bi-Objective Control Structure
Model of Microgrid
Microgrid Model
The Control Structure
The Proposed Method
Simulation and Results
Scenario 1
Scenario 2
Scenario 3
Scenario 4
Conclusion
References
Chapter 6
Control Techniques
and the Mathematical Model of Microgrids
Chapter 7
Microgrid Control Methods:
An Overview
Abstract
Index
Blank Page
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