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直流微网下适用于光伏系统的电导增量最大功率点跟踪优化技术研究

Acknowledgement第7-8页
abstract第8-9页
Chapter 1 Introduction第19-39页
    1.1 Global Renewable Energy Overview第19-22页
    1.2 Solar Photovoltaic Current Status第22-23页
    1.3 Microgrid第23-33页
        1.3.1 Microgrid Projects in EU, USA and China第26-30页
            1.3.1.1 Europe第26-27页
            1.3.1.2 USA第27-29页
            1.3.1.3 China第29-30页
        1.3.2 Observations第30-33页
    1.4 Research Motivations第33页
    1.5 Problem statement and Project Objective第33-36页
    1.6 Contribution第36-37页
    1.7 Outline of the Thesis第37-39页
Chaper 2 Classification of Maximum Power Point Tracking Techniques under Uniform and Non-Uniform Solar Irradiation Conditions第39-106页
    2.1 Introduction第39-42页
    2.2 MPPT Modeling第42-46页
    2.3 MPPT selection criteria第46-48页
        2.3.1 Implementation第47页
        2.3.2 Sensors第47页
        2.3.3 Efficiency第47页
        2.3.4 Cost第47-48页
    2.4 Classification第48-93页
        2.4.1 MPPT with Uniform Solar Irradiance第48-70页
            2.4.1.1 Online Method第48-65页
            2.4.1.2 Offline Methods第65-70页
        2.4.2 MPPT Under Non-uniform Solar Irradiance and Partial Shading Conditions第70-86页
            2.4.2.1 Modified Perturb and Observe (MP&O) Method第71-73页
            2.4.2.2 Modified Incremental Conductance (MINC) Method第73-75页
            2.4.2.3 Modified Hill Climbing (MHC) Method第75页
            2.4.2.4 Instantaneous Operating Power Optimization (IOPO) Method第75-77页
            2.4.2.5 Output Power Increment (OPI) Method第77-78页
            2.4.2.6 Two Stage Load Line (2SLL) Method第78-79页
            2.4.2.7 Power-Load Characteristic with Variable Step Size Method第79-81页
            2.4.2.8 Adaptive Maximum Power Point Tracking (AMPPT) Method第81-82页
            2.4.2.9 Direct Search (DS) Method第82-84页
            2.4.2.10 Segment Search (SS) Method第84-85页
            2.4.2.11 Restricted Voltage Window Search (RVWS) Method第85-86页
        2.4.3 Soft Computing第86-93页
            2.4.3.1 Bayesian Network (BN) Method第87-88页
            2.4.3.2 Non-linear Predictor(NLP)Method第88-89页
            2.4.3.3 Ant Colony Optimization (ACO) Method第89页
            2.4.3.4 Cuckoo Search (CS) Method第89-90页
            2.4.3.5 Fibonacci Search (FS) Method第90-92页
            2.4.3.6 Practical Swarm Optimization (PSO) Method第92-93页
    2.5 Fuzzy Logic Control (FLC) Method第93-100页
        2.5.1 Artificial Neural Network (ANN) Method第94-95页
        2.5.2 Extremum Seeking (ES) Method第95-96页
        2.5.3 Chaotic Search (CS) Method第96-98页
        2.5.4 Differential Evolution (DE) Method第98-99页
        2.5.5 Genetic Algorithm (GA) Method第99-100页
    2.6 Comparison Analysis of Maximum Power Point Techniques第100-106页
        2.6.1 MPPT Techniques Under Uniform Solar Irradiance Condition第100-101页
        2.6.2 MPPT Techniques Under Non-Uniform /Partial Shading Solar Irradiance Condition第101-102页
        2.6.3 Soft Computing MPPT Techniques第102-106页
Chaper 3 Identification of Suitable Maximum Power Point Technique (MPPT) and Development of the Proposed Simple Moving Voltage Average Method第106-122页
    3.1 Introduction第106页
    3.2 Overview of Commonly Used MPPT Techniques第106-114页
        3.2.1 Incremental Conductance Maximum Power Point第106-108页
        3.2.2 Comparison and Data Analysis第108-111页
        3.2.3 Direct Control Incremental Conductance Method第111-114页
    3.3 Proposed Method第114-122页
        3.3.1 Background第114-115页
        3.3.2 Proposed Simple Moving Voltage Average (SMVA) Method第115-119页
            3.3.2.1 Algorithm Description第117-119页
        3.3.3 Implementation of SMVA第119-122页
Chaper 4 Implementation of Simple Moving Voltage Average Incremental Conductance MPPT Techniquewith Direct Control Method under Non-uniform Solar Irradiance Conditions第122-144页
    4.1 Introduction第122-123页
    4.2 Case Example第123-125页
    4.3 Implementation of the Proposed Method第125-128页
    4.4 Results and Discussions第128-134页
    4.5 Distributed Maximum Power Point (DMPPT)第134-144页
        4.5.1 Simulation Results第138-139页
        4.5.2 Results and Discussions第139-144页
Chaper 5 Summary and Future Work第144-147页
    5.1 Conclusion第144-145页
    5.2 Future Work第145-147页
6 List of Publications第147-148页
References第148-161页

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