Optimal Storage Investment and Management under Uncertainty It is costly to avoid outages!

被引：0
作者：
Geske, Joachim [1 ]
Green, Richard [1 ]
机构：
[1] Imperial Coll, Sch Business, London, England
来源：
2016 IEEE 8TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC-ECCE ASIA) | 2016年
基金：
英国工程与自然科学研究理事会;
关键词：
Storage; Electricity system; Uncertainty;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Subject of this analysis is to show how storage is operated optimally under renewable and load uncertainty in the electricity system context. We estimate a homogeneous Markov Chain representation of the residual load in Germany in 2014 on an hourly basis and design a very simple dynamic stochastic electricity system model with non-intermittent generation technologies and storage. We compare these results to perfect foresight findings and identify a significant over estimation of the storage potential under perfect foresight.
引用
收藏
页码：524 / 529
页数：6
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