中国电力 ›› 2016, Vol. 49 ›› Issue (6): 181-184.DOI: 10.11930/j.issn.1004-9649.2016.06.181.04

• 新能源 • 上一篇    

光伏组件超配的经济性分析

王淑娟1,薛满宇2,刘松民1   

  1. 1. 汉能全球光伏应用集团,北京 100101;
    2. 北京京能清洁能源电力股份有限公司,北京 100028
  • 收稿日期:2015-12-16 修回日期:2016-06-16 出版日期:2016-06-16 发布日期:2016-06-16
  • 作者简介:王淑娟(1981-),女,山东烟台人,硕士,高级工程师,从事太阳能资源分析、发电量计算等工作。

Economic Analysis on High PV Modules Capacity Ratios

WANG Shujuan1, XUE Manyu2, LIU Songmin1   

  1. 1. Hanergy Global Solar Power Solutions Group, Beijing 100101, China;
    2. Beijing Jingneng Clean Energy Corporation Limited, Beijing 100028, China
  • Received:2015-12-16 Revised:2016-06-16 Online:2016-06-16 Published:2016-06-16

摘要: 太阳能资源的特点造成光伏组件出力基本达不到标称功率,电气设备利用率低;改变光伏组件和电气设备的容配比以提高电气设备利用率,可有效降低光伏度电成本。以太阳能资源较好格尔木市和较差的南京市的太阳能资源为基础,通过计算不同容配比光伏组件出力经折减后到达逆变器时的功率,分析了不同容配比下的功率限制比,从而计算出不同容配比下的发电量增加;对不同容配比下的初始投资、年运营成本增加进行了计算;对增加部分投资的收益率进行了分析。

关键词: 太阳能资源, 容配比, 发电量, 投资 , 收益率

Abstract: The output of photovoltaic modules can hardly reach the nominal power due to the characteristics of solar resources. Therefore, the utilization rate of electrical equipment is low. The cost of per kWh PV generation can be reduced through improving the utilization rate of electric equipments by changing the capacity ratio of PV modules and electrical equipment. Based on an analysis of the solar energy resources of two cities, the Golmud City with abundant solar resources and the Nanjing City with relatively poor solar resources, the output power of PV modules with different capacity ratios and the power reaching inverter after output power reduction is calculated in this paper. Then the power limit ratios of PV projects with different capacity ratios are analyzed and the PV generation increment with different capacity ratios is accordingly calculated. The increments of initial investment and annual operating costs under different capacity ratios are determined. Finally, based on the calculated increments mentioned above, the internal rate of return(IRR) of the investment increment is analyzed.

Key words: solar energy resources, capacity ratio, generation output, investment, internal rate of return

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