Optimal sizing a grid-connected microgrid

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Table of contents

CHAPTER I : Introduction
I.1. Context
I.1.1. Development of photovoltaic
I.1.2. Development of Electrochemical Energy Storages
I.1.3. Microgrid
I.2. Literatures review
I.2.1. Optimal sizing of a microgrid
I.2.2. Energy management of microgrid
I.2.3. Microgrid control
I.3. Objective of the thesis
I.4. Thesis contributions
I.5. Thesis organization
CHAPTER II : Microgrid concept
II.1. Definition of microgrid
II.2. Microgrid structure and components
II.3. Microgrid operation
II.4. Microgrid control
II.5. Microgrid protection
CHAPTER III : Modeling of the microgrid components
III.1. Introduction
III.2. Photovoltaic system Modeling
III.2.1. Photovoltaic module
III.2.2. PV system sizing
III.2.3. PV system Modeling
III.3. Electrochemical storage Modeling
III.3.1. Battery Parameters
III.3.2. Battery Interface
III.4. Diesel Modeling
III.5. Load Modeling
III.6. Conclusion
CHAPTER IV : Optimal sizing of microgrid
IV.1. Introduction
IV.2. Optimal sizing of a microgrid in island mode
IV.2.1. System configuration
IV.2.2. System components
IV.2.3. Methodology
IV.2.4. Simulation results and discussion
IV.3. Optimal sizing of a microgrid in grid connected mode
IV.3.1. System configuration
IV.3.2. System components
IV.3.3. Methodology
IV.3.4. Simulation results and discussion
IV.4. Conclusion
CHAPTER V : Optimal energy management for microgrid
V.1. Introduction
V.2. Optimization methods
V.2.1. Dynamic Programming and Bellman Algorithm
V.2.2. Application of Bellman algorithm to finding the nominal state of charge (SOC) of atteries
V.3. Optimization of energy management for a microgrid in isolated mode
V.3.1. Objective function
V.3.2. Constraints
V.3.3. A rule‐based energy management strategy
V.3.4. Application Bellman algorithm in optimal energy management for an island microgrid
V.3.5. Simulation results and discussion
V.4. Optimization energy management for a microgrid in grid connected mode
V.4.1. Objective function
V.4.2. Constraints
V.4.3. A rule‐based energy management strategy
V.4.4. Application Bellman algorithm in optimal energy management for a grid connected microgrid
V.4.5. Simulation results and discussion
V.5. Conclusion
CHAPTER VI : Microgrid control
VI.1. Introduction
VI.2. Control strategies for DERs
VI.2.1. Master slave control
VI.2.2. Multi ‐ Master control
VI.2.3. An intelligent control strategy
VI.2.4. Simulation results
VI.3. Conclusion
CHAPTER VII : Conclusion and Future works
VII.1. Conclusion
VII.2. Future work