EconPapers    
Economics at your fingertips  
 

Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model

Lukas Wienholt, Ulf Philipp Müller and Julian Bartels
Additional contact information
Lukas Wienholt: Centre for Sustainable Energy Systems, Europa Universität Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany
Ulf Philipp Müller: Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences, Kanzleistraße 91–93, 24943 Flensburg, Germany
Julian Bartels: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany

Energies, 2018, vol. 11, issue 12, 1-17

Abstract: The paradigm shift of large power systems to renewable and decentralized generation raises the question of future transmission and flexibility requirements. In this work, the German power system is brought to focus through a power transmission grid model in a high spatial resolution considering the high voltage (110 kV) level. The fundamental questions of location, type, and size of future storage units are addressed through a linear optimal power flow using today’s power grid capacities and a generation portfolio allowing a 66% generation share of renewable energy. The results of the optimization indicate that for reaching a renewable energy generation share of 53% with this set-up, a few central storage units with a relatively low overall additional storage capacity of around 1.6 GW are required. By adding a constraint of achieving a renewable generation share of at least 66%, storage capacities increase to almost eight times the original capacity. A comparison with the German grid development plan, which provided the basis for the power generation data, showed that despite the non-consideration of transmission grid extension, moderate additional storage capacities lead to a feasible power system. However, the achievement of a comparable renewable generation share provokes a significant investment in additional storage capacities.

Keywords: power system flexibility; optimization; renewable energy; storage; power grid model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/12/3365/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/12/3365/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:12:p:3365-:d:187003

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3365-:d:187003