可再生能源
风力发电
生产(经济)
电
环境经济学
发电
网格
能量(信号处理)
能源供应
间歇式能源
计算机科学
储能
经济
环境科学
计量经济学
自然资源经济学
微观经济学
工程类
分布式发电
功率(物理)
数学
量子力学
物理
电气工程
统计
几何学
作者
Gilles Notton,Marie Laure Nivet,Cyril Voyant,Christophe Paoli,Christophe Darras,Fabrice Motte,Alexis Fouilloy
标识
DOI:10.1016/j.rser.2018.02.007
摘要
Solar and wind energy are inherently time-varying sources of energy on scales from minutes to seasons. Thus, the incorporation of such intermittent and stochastic renewable energy systems (ISRES) into an electricity grid provides some new challenges in managing a stable and safe energy supply, in using energy storage and/or 'back-up' energy from other sources. In such cases, the ability to accurately forecast the output of “unpredictable” energy facilities is essential for ensuring an optimal management of the energy production means. This review syntheses the reasons to predict solar or wind fluctuations, it shows that variability and stochastic variation of renewable sources have a cost, sometimes high. It provides useful information on the intermittence cost and on the decreasing of this cost due to an efficient forecasting of the source fluctuation; this paper is for engineers and researchers who are not necessarily familiar with the issue of the notions of cost and economy and justify future investments in the ISRES production forecasting.
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