Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks
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 i...
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Nature Portfolio
2024-09-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-68728-6 |
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| author | Sungwoo Kang Seungmin Jung Dongwon Lee Gilsoo Jang |
| author_facet | Sungwoo Kang Seungmin Jung Dongwon Lee Gilsoo Jang |
| author_sort | Sungwoo Kang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aa98608a7fc4403585a6b3bc91acf77d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-aa98608a7fc4403585a6b3bc91acf77d2025-02-02T12:25:22ZengNature PortfolioScientific Reports2045-23222024-09-0114111610.1038/s41598-024-68728-6Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networksSungwoo Kang0Seungmin Jung1Dongwon Lee2Gilsoo Jang3School of Electrical Engineering, Korea UniversitySchool of Electrical and Computer Engineering, University of SeoulSchool of Electrical Engineering, Korea UniversitySchool of Electrical Engineering, Korea UniversityAbstract 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.https://doi.org/10.1038/s41598-024-68728-6Hub substation (HS/S)TSO–DSO coordinationRenewable energy sources (RES)Energy storage systems (ESS)Optimal control strategy |
| spellingShingle | Sungwoo Kang Seungmin Jung Dongwon Lee Gilsoo Jang Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks Scientific Reports Hub substation (HS/S) TSO–DSO coordination Renewable energy sources (RES) Energy storage systems (ESS) Optimal control strategy |
| title | Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks |
| title_full | Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks |
| title_fullStr | Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks |
| title_full_unstemmed | Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks |
| title_short | Optimal control strategies for energy storage systems for HUB substation considering multiple distribution networks |
| title_sort | optimal control strategies for energy storage systems for hub substation considering multiple distribution networks |
| topic | Hub substation (HS/S) TSO–DSO coordination Renewable energy sources (RES) Energy storage systems (ESS) Optimal control strategy |
| url | https://doi.org/10.1038/s41598-024-68728-6 |
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