PV Plant Performance Loss Rate Assessment: Significance of Data Filtering and Aggregation

Bijaya Paudyal, M. Bolen, D. Fregosi
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引用次数: 3

Abstract

The performance loss rate (PLR) of a PV plant - comprised of reversible and irreversible (a.k.a., degradation) reduction to power nameplate - is a key parameter for predicting long-term energy production, informing the levelized cost of electricity calculations, and benchmarking PV plant performance. Analyzing plant power production data over time is a common and practical method to calculate the performance loss rate of a PV plant. Studies to date have used various data filtering and aggregation criteria, which affects the PLR, makes it difficult to compare reported literature values, and to benchmark plant performance. This paper presents a sensitivity analysis of the impact of various data filtering and aggregation choices on the calculated PLR using power production values from an 8.4-MWac PV plant. Findings indicate the need for industry consensus on appropriate best practices for calculating and reporting PLR, including data filtering and aggregation criteria.
光伏电站性能损失率评估:数据过滤和聚合的意义
光伏电站的性能损失率(PLR)——包括可逆和不可逆(即退化)减少功率铭牌——是预测长期能源生产的关键参数,为电力成本计算提供信息,并对光伏电站性能进行基准测试。分析电厂一段时间内的发电量数据是计算光伏电站性能损失率的一种常用而实用的方法。迄今为止的研究使用了各种数据过滤和聚合标准,这影响了PLR,使得比较报道的文献值和基准植物性能变得困难。本文利用一个8.4 mwac光伏电站的发电量,对各种数据过滤和聚合选择对PLR计算结果的影响进行了敏感性分析。调查结果表明,业界需要就计算和报告PLR的适当最佳做法达成共识,包括数据过滤和汇总标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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