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双面光伏组件在局部遮阴条件下复合发电模型的开发
Development of a compound power generation model for bifacial photovoltaic modules under partial shading conditions
| 作者 | Qiangzhi Zhang · Yimo Luo · Tao Mac · Shuhao Wanga · Jiayu Zhoua · Fazhi Wangd · Jian Huang · Jinqing Peng |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 400 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 可靠性分析 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | A novel compound power generation model of bPV under partial shading was developed. |
语言:
中文摘要
摘要 双面光伏(bPV)组件由于自遮挡、相互遮挡以及外部遮挡,导致其正面和背面接收到的太阳辐照度分布不均,从而影响其性能与可靠性。因此,在局部遮阴条件(PSC)下建立精确的功率模型至关重要。现有的bPV组件发电模型通常基于双面因子,未能考虑被遮挡与未被遮挡太阳电池区域之间的电流失配问题,以及正背面电气性能的动态变化,这两方面因素均会导致发电量的高估。为克服上述局限性,本文提出了一种新型复合发电模型,该模型构建了双电流源子模型(DCSM)以考虑太阳电池的失配效应,并采用并联等效电路子模型(PECM)来捕捉正背面电气性能的动态变化。通过整合这两个子模型,获取了在局部遮阴条件下bPV电池的五个参数,进而推导出组件的输出功率。所提出的模型在外场实验中能够准确模拟bPV组件的功率输出。与传统模型相比,在晴天和多云条件下两种遮阴类型下的平均相对误差分别为28.24%、29.58%、61.61%和61.40%,而所提模型将所有误差均降低至5%以下。此外,本研究从遮阴程度、电池数量和遮阴方向等多个角度,对比了全电池与半电池bPV组件在相同局部遮阴条件下的性能表现。研究结果为优化bPV组件的安装与部署、降低遮阴相关风险提供了有价值的参考依据。
English Abstract
Abstract Bifacial photovoltaic (bPV) modules experience non-uniform solar irradiance distribution on both the front and rear sides due to self-shading, mutual shading, and external shading, which affect their performance and reliability. Therefore, it is essential to develop an accurate power model under partial shading conditions (PSC). Existing power generation models for bPV modules, usually based on bifaciality, fail to account for the electrical mismatch between the shaded and the non-shaded solar cell areas and the dynamic variations in electrical performance of both sides, both of which lead to the overestimation of power generation. To address the limitations, this paper proposes a novel compound power generation model, which develops a dual current-source sub-model (DCSM) to consider solar cell mismatch and employs a parallel equivalent circuit sub-model (PECM) to capture the dynamic variations in the electrical performance of both sides. By integrating the two sub-models, the five parameters of the bPV cell under PSC were obtained to derive the module's power output. The proposed model accurately simulates the power output of bPV modules in outdoor experiments. Compared to the traditional model, which exhibits mean relative errors of 28.24 %, 29.58 %, 61.61 %, and 61.40 % under two shading types in sunny and cloudy conditions, the proposed model reduces all errors to below 5 %. Furthermore, this study compared the performance of full-cell and half-cell bPV modules under identical PSC from different perspectives, including shading degree, number of cells, and shading direction. The findings offer valuable insights for optimizing bPV module installation and deployment to mitigate shading-related risks.
S
SunView 深度解读
该双面组件复合功率模型对阳光电源SG系列光伏逆变器的MPPT优化具有重要价值。传统模型在遮挡工况下误差超60%,新模型通过双电流源子模型和并联等效电路精准捕捉电池失配与动态特性,误差降至5%以内。可应用于iSolarCloud平台的发电预测算法,优化1500V系统在复杂遮挡场景下的多路MPPT策略,提升全电池与半片组件的实际发电量。研究成果为储能系统ST系列的光储协同控制提供更精准的光伏侧输入模型,增强系统可靠性分析能力。