Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks

With the global consensus to achieve carbon neutral goals, power systems are experiencing a rapid increase in renewable energy sources and energy storage systems (ESS). Especially, recent development of hub substations (HS/S) equipped with ESS, applicable for resolving site constraints if implemented as mobile transformers, is expanding the development of ESS-equipped facilities. However, these units require centralized control strategies considering variability within integrated networks. While studies on electric vehicle charging considering the variability of renewable energy or load are widely studied, ESS management scheme for individual substations requires further optimization, especially considering the state of distributed sources at lower levels and transmission system operators. Thus, in this study, an optimal control approach for ESS located at the connection point of transmission and distribution systems, including further consideration of the loss in distribution lines and the constraints of renewable energy sources is presented. This study attempts to derive proactive control strategies for ESS in HS/S to operate with various distribution networks. By establishing control priorities for each source through optimal operation strategy, a suitable capacity of ESS and its economic benefits for distribution network management can be examined. Validation of the current analysis results is performed by utilizing MATPOWER. By adapting the operational range of design scenarios, diverse distribution systems can be tested against multiple configurations of connected devices.

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Publication Details

Journal
Scientific Reports
Published
2024-09-02
DOI
https://doi.org/10.1038/s41598-024-68728-6
Citations
3
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.63

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article

Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks

Seungmin Jung, Sungwoo Kang, Gilsoo Jang, Dongwon Lee
3 citations
Scientific Reports
Electric Vehicles and Infrastructure
0.63
article

Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks

Seungmin Jung, Sungwoo Kang, Gilsoo Jang, Dongwon Lee
article en
3 citations

Abstract

With the global consensus to achieve carbon neutral goals, power systems are experiencing a rapid increase in renewable energy sources and energy storage systems (ESS). Especially, recent development of hub substations (HS/S) equipped with ESS, applicable for resolving site constraints if implemented as mobile transformers, is expanding the development of ESS-equipped facilities. However, these units require centralized control strategies considering variability within integrated networks. While studies on electric vehicle charging considering the variability of renewable energy or load are widely studied, ESS management scheme for individual substations requires further optimization, especially considering the state of distributed sources at lower levels and transmission system operators. Thus, in this study, an optimal control approach for ESS located at the connection point of transmission and distribution systems, including further consideration of the loss in distribution lines and the constraints of renewable energy sources is presented. This study attempts to derive proactive control strategies for ESS in HS/S to operate with various distribution networks. By establishing control priorities for each source through optimal operation strategy, a suitable capacity of ESS and its economic benefits for distribution network management can be examined. Validation of the current analysis results is performed by utilizing MATPOWER. By adapting the operational range of design scenarios, diverse distribution systems can be tested against multiple configurations of connected devices.

Scientific ReportsVol. 14(1)
Kookmin University (KR), University of Seoul (KR), Korea University (KR), Sejong University (KR), Korea University (JP)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 32%
Electric Vehicles and Infrastructure
0.63
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