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

页码：524 / 529

页数：6

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