孟加拉国并网太阳能光伏系统发电模式的早期经验:SARIMA 分析

S. Aziz, S. Chowdhury
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引用次数: 1

摘要

位于贾马尔布尔 Shorishabari 的 Engreen 太阳能光伏电站是孟加拉国第一座大规模并网太阳能光伏电站,已运营三年多。作为首个同类光伏电站,它为了解孟加拉国并网太阳能光伏电站的性能提供了参考。在本研究中,我们使用了该电站从运营到最近一个月的月度数据,并使用季节性自回归综合移动平均(SARIMA)模型找出了该电站的发电趋势。我们发现需要进行月度和季节差分,而 (1,1,8) x (0,1,0)12 模型最为合适。我们对模型进行了预测,以预测样本期最后 8 个月的发电量,结果发现预测值与实际发电量相符,但没有出现相同的极端值。进一步的研究范围包括未来获得更长的时间序列数据,以及纳入太阳辐射、温度和电网中断等外生因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Experience of the Generation Pattern of Grid Connected Solar PV System in Bangladesh: A SARIMA Analysis
The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.
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