具有电价-风速依赖结构的风电场性能评估

Laura Casula, G. D’Amico, G. Masala, F. Petroni
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引用次数: 6

摘要

本文旨在估计风力涡轮机在给定时间间隔内产生的收益。收入取决于两个主要变量:决定发电量的风速和电价。风速和电价随时间的变化是随机的,且具有一定的相关性。为了考虑这种依赖性,我们应用了一个连接两个变量的向量自回归过程(VAR)。应用程序使用了位于撒丁岛(意大利)的一个假想风力涡轮机的真实数据。与以风速和电价为自变量模拟所得的收益相比,VAR模型模拟所得的收益更接近于经验值。结果还讨论了与引进SAPEI海底电缆有关的问题,这对收入值产生了重大变化。
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Performance Estimation of a Wind Farm with a Dependence Structure between Electricity Price and Wind Speed
This paper aimed to estimate the income generated by a wind turbine over a given time interval. The income depends on two main variables: the wind speed that determines the produced energy and electricity price. Both wind speed and electricity price evolve randomly in time and are correlated. To consider this dependency, we applied a vector autoregressive process (VAR) that links both variables. An application was performed using real data from a hypothetical wind turbine located in Sardinia (Italy). The income simulated by using the VAR model was closer to the empirical value compared with that obtained by simulating wind speed and electricity prices as independent variables. The results were also discussed in relation to the introduction of the SAPEI submarine cable, which produces a significant change in the income value.
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