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基于混合智能算法含分布式电源的配电网无功优化研究

摘要第4-5页
Abstract第5页
1 Introduction第8-12页
    1.1 Background and significance of the research第8页
    1.2 Basic concept of distributed power supply第8-9页
    1.3 Domestic and foreign development status第9-10页
        1.3.1 Renewable sources outlook第9-10页
        1.3.2 Wind power plants第10页
        1.3.3 Solar energy第10页
    1.4 The main content第10-12页
2 The types of DG and effects on distribution network system第12-21页
    2.1 The types of DG第12-18页
        2.1.1 Wind power generation第12-14页
        2.1.2 Fuel cell第14-15页
        2.1.3 Photovoltaic (PV) power generation第15-17页
        2.1.4 Micro gas turbine generation第17-18页
    2.2 DG integration to grid and its effect on the power distribution system第18-19页
        2.2.1 Effect on planning of power distribution network第18页
        2.2.2 Effect on power quality of power distribution network第18-19页
        2.2.3 Effect on relay protection of distribution network第19页
        2.2.4 Effect on system reliability第19页
    2.3 Summary第19-21页
3 Discussion and analysis of power flow calculation in distribution network第21-32页
    3.1 Overview of power flow calculation in distribution network第21页
    3.2 The concept of power flow calculation in distribution network第21页
    3.3 Basic requirements for power flow calculation of distribution network第21-22页
    3.4 Characteristics of power flow calculation in distribution network第22-26页
        3.4.1 Power flow calculation of distribution network with main feeder第22-24页
        3.4.2 Power flow calculation of distribution network with lateral branch of feeder trunk第24-26页
    3.5 Comparison of power flow calculation method for radial distribution network第26-31页
        3.5.1 Busbar-class algorithm第26-27页
        3.5.2 Branch-class algorithm第27-31页
    3.6 Summary第31-32页
4 An analysis of power flow calculation for distribution network based on Forward and Backward Sweep Method第32-46页
    4.1 The basic principle of Forward and Backward Sweep Method第32-35页
    4.2 The Forward and Backward Sweep Method based on branch current第35-40页
        4.2.1 Algorithm description第35-36页
        4.2.2 Convergence analysis第36-40页
    4.3 Calculation example analysis第40-45页
        4.3.1 The first example第40-42页
        4.3.2 The second example第42-45页
    4.4 Summary第45-46页
5 Reactive power optimization for distribution network with DG based on hybrid intelligent algorithm第46-66页
    5.1 The optimization algorithm第46-49页
        5.1.1 The classical reactive power optimization algorithm第46-48页
        5.1.2 Artificial intelligence algorithms in reactive power optimization第48-49页
    5.2 The basic idea of GA mixed with ACO第49-50页
    5.3 Mathematical model of distribution network reactive power optimization第50-52页
        5.3.1 The objective function of reactive power optimization第50-51页
        5.3.2 Constraint conditions of reactive power optimization第51-52页
    5.4 Reactive power optimization based on hybrid intelligent algorithm第52-55页
        5.4.1 Realization of hybrid intelligent algorithm第52-54页
        5.4.2 Flow chart of the hybrid intelligent algorithm第54-55页
    5.5 Calculation example and simulation analysis第55-65页
        5.5.1 Using IEEE-30 node standard test system data第55-60页
        5.5.2 Selection of simulation parameter第60页
        5.5.3 Result analysis第60-65页
    5.6 Summary第65-66页
Conclusions第66-67页
Acknowledgement第67-68页
References第68-71页
Research achievement during working for the degree第71页

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