光伏发电与电价的随机模型

F. Benth, Noor Ibrahim
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引用次数: 8

摘要

基于德国三家输电系统运营商的数据,我们提出了一个光伏发电(PV)每日最大发电量的随机模型。我们将太阳强度作为季节函数,用一个带有偏态正态分布噪声和季节方差的自回归过程对非季节性数据进行建模,以解释随机动力学。进一步证明了电力现货价格与光伏产量呈负相关关系。作为我们研究结果的应用,我们讨论了虚拟电厂衍生品和能源量子期权,以及PV和电力现货价格动态的连续时间随机过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Modelling of Photovoltaic Power Generation and Electricity Prices
We propose a stochastic model for the maximal production of photovoltaic (PV) power on a daily basis based on data from three transmission system operators in Germany. We apply the sun intensity as a seasonal function and model the deseasonalized data by an autoregressive process with skewed normally distributed noise with seasonal variance to explain the stochastic dynamics. It is further demonstrated that the power spot prices are negatively depending on the PV production. As an application of our results, we discuss virtual power plant derivatives and energy quanto options, as well as continuous time stochastic processes for PV and power spot price dynamics.
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