Optimal storage investment and management under uncertainty It is costly to avoid outages!
File(s)
Author(s)
Geske, J
Green, R
Type
Conference Paper
Abstract
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 techno
-
logies and storage. We compare these results to perfect foresight
findings and identify a significant over estimation of the storage
potential under perfect foresight.
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 techno
-
logies and storage. We compare these results to perfect foresight
findings and identify a significant over estimation of the storage
potential under perfect foresight.
Date Issued
2016-07-14
Date Acceptance
2016-05-22
Citation
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016, pp.524-529
ISBN
978-1-5090-1210-7
Publisher
IEEE
Start Page
524
End Page
529
Journal / Book Title
2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000390949700089&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/L014386/1
Source
8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Storage
Electricity system
Uncertainty
Publication Status
Published
Start Date
2016-05-22
Finish Date
2016-05-26
Coverage Spatial
Hefei, China