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  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学、上海市能源研究会、上海电气(集团)总公司
  • 主  编:
  • 陈康民
  • 地  址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55272843
  • 电子邮件:
  • eribjb@usst.edu.cn
  • 国际标准刊号:
  • 1008-8857
  • 国内统一刊号:
  • 31-1410/TK
  • 邮发代号:
  • 单    价:
  • 5.00
  • 定    价:
  • 20.00
家用并网光伏系统仿真与运行性能计算
Simulation and calculation of the operation performance of adomestic grid-connected photovoltaic system
投稿时间:2019-07-11  
DOI:10.13259/j.cnki.eri.2021.04.003
中文关键词:  光伏系统  PVsyst软件  家用  并网
英文关键词:photovoltaic system  PVsyst software  household  grid-connection
基金项目:
作者单位E-mail
张嘉澍 上海理工大学 能源与动力工程学院, 上海 200093  
金满 上海理工大学 能源与动力工程学院, 上海 200093  
徐洪涛 上海理工大学 能源与动力工程学院, 上海 200093 htxu@usst.edu.cn 
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全文下载次数: 3942
中文摘要:
      设计了一个家用并网光伏系统并计算其年发电量以研究其运行性能。在设定指定地点地理位置并导入气象数据,并根据屋顶可用面积决定光伏阵列的排布和逆变器参数后,利用PVsyst软件对光伏系统进行模拟,并计算发电量。结果表明:所设计的光伏系统年发电量约为7 114 kW·h,发电效率为75.1%。结合调查数据发现,该光伏系统发电量超过了当地用户年平均用电量;光伏系统一年中日输出电量的变化趋势显示,光伏系统发电量高峰时的日发电量均值可达35 kW·h以上;而光伏系统发电量低谷时的日发电量均值不足20 kW·h;光伏系统各项损失在理论发电量中的占比变化趋势显示,每年6、7、8月系统的光伏阵列损失最大,其原因是夏季气温升高使得光伏阵列运行性能受到影响。该光伏系统发电量可以满足一般家庭的用电需求,且用户可以参考光伏系统发电量的变化趋势选择合理的用电方式。
英文摘要:
      A household grid-connected photovoltaic (PV) system was designed, and its annual power generation was calculated to evaluate its operation performance. Initially, the parameters of PV arrays and inverters were selected by the available area on the roof. And then the software PVsyst was used to simulate and calculate the power generation of the designed system at setting location with the associated meteorological data. The results indicated that the annual power generation of this system was 7 114 kW·h, and the operation efficiency was 75%. Combining with the survey data, the power generation of this system exceeded the average annual power consumption of the households in local area. The daily power output of the PV system indicated that average daily power generation of the system maximized at 35 kW·h, while average daily power generation could minimize at 20 kW·h. The fraction of available power generation of this system indicated that the greatest power loss of PV arrays was achieved in June, July, and August due to the influence of high temperature in summer on their performance. In a word, the designed system could meet the demand of electricity consumption in a normal household, and the users could choose the power supply according to the power generation of the PV system.
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