声明
摘要
ABSTRACT
List of Contents
List of Abbreviations
List of Figures
List of Tables
Chapter 1．Introduction
1．1 Energy
1．1．1 Renewable energy
1．1．2 The future of renewables
1．2 Leading renewable energy resources
1．2．1 Hydroelectric energy
1．2．2 Wind Power
1．2．3 Biomass
1．2．4 Geothermal power
1．2．5 Solar
1．2．6 Ocean tidal energy
1．2．7 Hydrogen and fuel cells
1．2．8 Thermoelectric generators (TEG)
1．2．9 Other renewable energy sources
1．3 Trends in PV technologies and effectiveness
1．3．1 Global technology trends and prices
1．3．2 PV cell efficiency
1．3．3 PV system efficiency
1．4 Motivation
1．5 Research Contents
1．6 Innovation
1．7 Chapter Layout
Chapter 2．PV System Modeling and Characteristics
2．1 Mathematical modeling of PV cell
2．2 PV cell modeling
2．1．1 Single diode model
2．1．2 Double diode model
2．3 PV model characteristics
2．3．2 Solar Array series-parallel combination
2．3．3 PV Parameters description
2．3．3 Effects of temperature condition
2．3．4 Effects of Uniform irradiance condition
2．3．5 Partial shading condition
2．4 The components of the PV system
2．4．1 DC converter
2．4．2 MPPT controller
2．4．3 lnverters
2．4．4 Load management and grid connectivity
Chapter 3．Soft Computing based MPPT techniques
3．1．Introduction
3．1．1 Literature review
3．1．2 Artificial Neural Networks (ANN)
3．1．3 Fuzzy logic controller (FLC)
3．2 The Proposed GHO MPPT
3．2．1 The mathematical model of GHO
3．2．2 GHO for MPPT of PV systems
3．2．3 Tracking mechanism of GHO
3．2．4 GHO under Complex Partial Shading
3．2．5 Advantages of GHO on MPPT
3．3 Results and discussion
3．3．1 Case 1：Fast varying irradiance
3．3．2 Case 2 partial shading
3．3．3 Case 3：Partial shading
3．3．5 Case 4 Complex partial shading
3．3．6 Case 5：Complex Partial Shading
3．3．7 Efficiency and performance evaluation
3．4 Conclusion
Chapter 4．Swarm Intelligence based MPPT Techniques
4．1 Some conventional swarm intelligence based MPPT techniques
4．1．1 Particle swarm optimization (PSO)
4．1．2 Grey Wolf Optimization (GWO)
4．3．3 Artificial bee colony (ABC)
4．1．4 ABC Application for MPPT control
4．1．5 Cuckoo Search (CS)
4．1．6 Adoptive cuckoo search algorithm
4．2 The proposed HHO based MPPT technique
4．2．1 The HHO model
4．2．2 Soft besiege
4．2．3 Hard besiege
4．2．4 Soft besiege with progressive rapid dives
4．2．5 Hard besiege with progressive rapid dives
4．2．6 Working methodology of HHO
4．2．7 Advantages of HHO on MPPT
4．4．3 Case partial shading
4．4．4 Results of Quantitative and statistical results
4．3 Case field atmospheric data
4．3．1 Weather conditions
4．3．2 Spring results
4．3．3 Summer results
4．4 Hardware setup
4．5 Conclusion
Chapter 5．Conclusion and Future Work
5．1 Contributions
5．2 Future Work
References
List of Publications
中国科学技术大学;
