• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Power and Energy >Increasing energy harvest of photovoltaic arrays under uniform illumination : A case study on photovoltaic arrays in boulder CO and Tucson AZ
【24h】

Increasing energy harvest of photovoltaic arrays under uniform illumination : A case study on photovoltaic arrays in boulder CO and Tucson AZ

机译：在均匀照明下增加光伏阵列的能量收获：博尔德省CO与Tucson AZ的光伏阵列案例研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Studies on photovoltaic (PV) arrays have demonstrated that some arrays suffer from mismatch power losses even under uniform illumination. This mismatch power loss that is attributed to the inequality of characteristic parameters between a PV array's modules is conventionally addressed by sorting techniques - which stands for sorting PV modules in an array by one of their characteristic parameters such as I, I or P-Another recently suggested method to address this problem is arranging modules by genetic algorithm (GA). This paper applies this new technique to three PV arrays with relatively high mismatch losses. I-V curves for each array's modules are measured under different levels of radiation to provide a precise model. This precise modeling is used to run an annual simulation of energy yield and mismatch losses. Simulations carried out in this study show that a proper arrangement of modules in arrays decreases the mismatch losses and increases annual energy output more than what is gained by sorting techniques.
机译：对光伏（PV）阵列的研究表明，即使在均匀的照明下，一些阵列也遭受不匹配功率损失。这种不匹配的功率损失归因于PV阵列模块之间的特征参数的不等式，其传统上通过排序技术来解决 - 这代表其在阵列中的一个特征参数（例如I，I或P-BOLD）中的一个特征参数中的PV模块建议解决此问题的方法是通过遗传算法（GA）来安排模块。本文将这种新技术应用于具有相对高的错配损失的PV阵列。每个阵列模块的I-V曲线在不同级别的辐射下测量，以提供精确的模型。这种精确的建模用于运行能源产量和不匹配损失的年度模拟。在本研究中进行的模拟表明，阵列中的模块的适当布置降低了不匹配损耗，并增加了比通过排序技术所获得的年度能量输出。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号