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中国典型Ⅰ类辐照地区的光伏并网逆变器性能评价方法
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新能源电力系统国家重点实验室(华北电力大学),北京市102206

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Performance Evaluation Method of Grid-connected Photovoltaic Inverter for Typical Type-Ⅰ Irradiation Area of China
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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

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    摘要:

    光伏并网逆变器是光伏发电系统中的关键部件。文中通过分析使用欧洲效率、加州效率及中国效率3种指标评价在中国典型Ⅰ类辐照地区运行的光伏并网逆变器的效率所存在的片面性及不准确性,建立了针对光伏并网逆变器效率的评价模型。基于2016—2017年宁夏地区的气象数据,通过在模型中增加了不同光伏组件类型、环境温度、风速、最佳辐射倾角、2 min级的采样间隔等影响光伏并网逆变器在实际运行中性能的关键因素,得到了适合中国典型Ⅰ类辐照地区光伏并网逆变器的效率评价方式,为今后在该气候类型地区光伏电站建设中光伏并网逆变器的选型设计提供更加合理的评价指标,为准确反映光伏逆变器在实际运行中的发电量,更好地测试与评估光伏并网逆变器的发电性能提供参考。

    Abstract:

    The grid-connected photovoltaic (PV) inverter is a key component in the photovoltaic power generation system. This paper analyzes the one-sidedness and inaccuracy of three evaluation methods (which using European efficiency, CEC efficiency and Chinese efficiency as evaluation indicators ) for the efficiency of grid-connected PV inverters operating in the typical type-Ⅰ irradiation area of China. Then an evaluation model for the efficiency of grid-connected PV inverters is developed. Based on the meteorological data from 2016 to 2017 in Ningxia of China, the key factors affecting the performance of grid-connected PV inverter in the actual operation condition are considered in the model, including the types of PV components, ambient temperature, wind speed, optimal irradiance inclination angle, and sampling interval of 2 min. The evaluation method is suitable for typical type-Ⅰ irradiation area of China, which provides a more reasonable evaluation index for the selection and design of inverters in the construction of photovoltaic power plants in the area. And it also offers a reference to accurately reflect the power output of grid-connected PV inverter in the actual operation condition and evaluate its power generation performance.

    表 4 2种常见类型光伏组件的温度数据Table 4 Temperature data for two common types of photovoltaic components
    表 5 不同类型光伏组件的加权系数Table 5 Weighing coefficients of different types of photovoltaic components
    表 10 Table 10
    表 7 Table 7
    表 2 气象数据统计表Table 2 Statistics of meteorological data
    表 8 Table 8
    表 3 2种常见类型光伏组件的温度经验系数Table 3 Empirical coefficient of temperature for two common types of photovoltaic components
    图1 2018年3月21日不同采集间隔的辐照度对比Fig.1 Comparison of irradiance at different collection intervals on March 21, 2018
    图2 测试当天的辐照度与环境温度对比图Fig.2 Comparison between irradiance and environment temperature on the test day
    图3 逆变器实时效率与负载率点的关系Fig.3 Relationship between real-time efficiency and load point of inverter
    图4 测试当天的辐照量频率与逆变器发电量频率分布Fig.4 Distribution of irradiance frequency and power generation frequency of inverter on the test day
    图5 不同类型光伏组件负载点频率占比分布Fig.5 Frequency distribution of load points of different types of photovoltaic components
    表 6 不同评价指标下的逆变器效率Table 6 Inverter efficiency with different evaluation indicators
    表 9 Table 9
    表 1 太阳能资源区分类等级Table 1 Classification level of solar resource area
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引用本文

王炳楠,谭占鳌.中国典型Ⅰ类辐照地区的光伏并网逆变器性能评价方法[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190927009.
WANG Bingnan,TAN Zhan’ao.Performance Evaluation Method of Grid-connected Photovoltaic Inverter for Typical Type-Ⅰ Irradiation Area of China[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190927009.

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  • 收稿日期:2019-09-27
  • 最后修改日期:2020-04-08
  • 录用日期:2020-02-03
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