LAPSE:2023.25812
Published Article
LAPSE:2023.25812
Simulation of Incidental Distributed Generation Curtailment to Maximize the Integration of Renewable Energy Generation in Power Systems
March 29, 2023
Power system security is increasingly endangered due to novel power flow situations caused by the growing integration of distributed generation. Consequently, grid operators are forced to request the curtailment of distributed generators to ensure the compliance with operational limits more often. This research proposes a framework to simulate the incidental amount of renewable energy curtailment based on load flow analysis of the network. Real data from a 110 kV distribution network located in Germany are used to validate the proposed framework by implementing best practice curtailment approaches. Furthermore, novel operational concepts are investigated to improve the practical implementation of distributed generation curtailment. Specifically, smaller curtailment level increments, coordinated selection methods, and an extension of the n-1 security criterion are analyzed. Moreover, combinations of these concepts are considered to depict interdependencies between several operational aspects. The results quantify the potential of the proposed concepts to improve established grid operation practices by minimizing distributed generation curtailment and, thus, maximizing power system integration of renewable energies. In particular, the extension of the n-1 criterion offers significant potential to reduce curtailment by up to 94.8% through a more efficient utilization of grid capacities.
Keywords
congestion management, distributed generation curtailment, load flow analysis, power system operation, power system security, renewable energy integration
Suggested Citation
Liere-Netheler I, Schuldt F, von Maydell K, Agert C. Simulation of Incidental Distributed Generation Curtailment to Maximize the Integration of Renewable Energy Generation in Power Systems. (2023). LAPSE:2023.25812
Author Affiliations
Liere-Netheler I: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany [ORCID]
Schuldt F: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany [ORCID]
von Maydell K: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Agert C: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany [ORCID]
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4173
Year
2020
Publication Date
2020-08-12
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13164173, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.25812
This Record
External Link

doi:10.3390/en13164173
Publisher Version
Download
Files
[Download 1v1.pdf] (2.7 MB)
Mar 29, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
51
Version History
[v1] (Original Submission)
Mar 29, 2023
 
Verified by curator on
Mar 29, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.25812
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version