Ajou University repository

Aggregated Model of Load, Grid Forming, and Grid Following Inverters for an Unbalanced System
Citations

SCOPUS

0

Citation Export

Publication Year
2024-01-01
Journal
2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024, pp.384-390
Keyword
aggregated modelinverter-based grid following controlinverter-based grid forming controlunbalanced systemsZIP load
Mesh Keyword
Aggregated modelsDynamics analysisFollowing controlInverter-basedInverter-based grid following controlInverter-based grid forming controlLoad gridUnbalanced systemsZIP load
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentElectrical and Electronic EngineeringSafety, Risk, Reliability and QualityControl and Optimization
Abstract
The distribution system is known for its inherent unbalanced nature and complex modelling. To decrease complexity when modeling the system to evaluate the dynamic analysis, the aggregated model is developed for load, grid following control inverter-based resource (IBR), and grid forming control IBR. Furthermore, to consider the imbalance of the system, the approximation methodology to estimate the parameters of each phase is proposed for each aggregated model. The proposed approach significantly contributes to the field by offering a simplified yet accurate method for dynamic analysis of unbalanced distribution systems. Validation of the approach is performed through study cases on the IEEE 13-bus system and the known parameters, limited to only the voltage and current of each phase at the connection point and each component's total power. Furthermore, the dynamic response of the aggregated model is compared to the actual system of IEEE 13 -bus. The results indicate that the unparameterized aggregated model exhibits significant error, while the response of the parameterized aggregated model is similar to that of the actual system, validating the effectiveness of the proposed parameter estimation methodology.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38151
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85217811430&origin=inward
DOI
https://doi.org/10.1109/cpese62584.2024.10840990
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10840338
Type
Conference Paper
Funding
This study was supported by the International Energy Joint R&D Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20228530050030).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Jung, Jaesung  Image
Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.