光伏电站性能对跟踪器误差的敏感性

K. Passow, J. Falls, Kirby Hunt
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引用次数: 2

摘要

光伏(PV)发电厂的融资——以及随后的评估——是基于模型能源预测。然而,任何未计入的损失或其他模型的不准确性都可能导致工厂表现低于预期,导致工厂所有者损失大量收入。例如,与固定倾角设计相比,跟踪系统有可能显著增加电厂能量,但任何偏离最佳跟踪角度的情况都会造成巨大的额外损失。这项工作调查了两个真实世界的案例研究,其中跟踪错误导致了显著的丢失生成。进一步的建模工作使用PlantPredict中的新的电阴影和时间序列跟踪输入特征来展示CdTe和cSi技术在各种跟踪器误差情况下的潜在损失范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity of PV Plant Performance to Tracker Error
Photovoltaic (PV) power plants are financed – and later evaluated – based on a modeled energy prediction. However, any unaccounted-for losses or other model inaccuracies may cause plants to underperform expectation, resulting in large sums of lost revenue for plant owners. For example, while tracking systems have the potential to increase plant energy significantly over fixed tilt designs, any deviation from the optimum tracking angle can create large additional losses. This work investigates two real world case studies where tracking errors resulted in significant lost generation. Further modeling work uses the new electrical shading and time series tracking input features in PlantPredict to demonstrate the range of potential losses under various tracker error scenarios for both CdTe and cSi technologies.
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