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Robust allocation of distributed energy storage systems considering locational frequency security
Rushuai Han1; Qinran Hu1; Hongcai Zhang2; Yi Ge3; Xiangjun Quan1; Zaijun Wu1
2024-06
Source PublicationInternational Journal of Electrical Power & Energy Systems
ISSN0142-0615
Volume157Pages:109903
Abstract

In low-inertia grids, distributed energy storage systems can provide fast frequency support to improve the frequency dynamics. However, the pre-determination of locational demands for distributed energy storage systems is difficult because the classical frequency dynamic equivalent response cannot capture the dynamic characteristics of the entire system. Additionally, optimal allocation of the distributed energy storage systems required for the different buses is challenging because of nonlinear constraints that account for these locational effects. This paper develops a method to evaluate locational frequency security. By simulating the worst-case G-1 contingency, the distribution network buses that violate the limit of the maximum rate of change of frequency are determined as the installation locations of distributed energy storage systems. We then propose a feasible region-based linearization method to replace the complex nonlinear constraints. Finally, we present a two-stage robust allocation model for distributed energy storage systems that is intended to maintain locational frequency security. The validity of the proposed method is verified through case studies performed on a modified IEEE RTS-24 bus system and a modified IEEE 118 bus system. The results show that the optimally allocated distributed energy storage systems effectively reduce the frequency safety risk that originally existed due to oscillation at the distribution network buses.

KeywordLocational Frequency Security Distributed Energy Storage Systems Fast Frequency Support Constraint Linearization Robust Allocation
DOI10.1016/j.ijepes.2024.109903
URLView the original
Indexed BySCIE
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:001208781800001
PublisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85186332822
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorQinran Hu
Affiliation1.School of Electrical Engineering, Southeast University, Nanjing, China
2.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao Special Administrative Region of China
3.State Grid Jiangsu Economic Research Institute, Nanjing, China
Recommended Citation
GB/T 7714
Rushuai Han,Qinran Hu,Hongcai Zhang,et al. Robust allocation of distributed energy storage systems considering locational frequency security[J]. International Journal of Electrical Power & Energy Systems, 2024, 157, 109903.
APA Rushuai Han., Qinran Hu., Hongcai Zhang., Yi Ge., Xiangjun Quan., & Zaijun Wu (2024). Robust allocation of distributed energy storage systems considering locational frequency security. International Journal of Electrical Power & Energy Systems, 157, 109903.
MLA Rushuai Han,et al."Robust allocation of distributed energy storage systems considering locational frequency security".International Journal of Electrical Power & Energy Systems 157(2024):109903.
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