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Article

Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination

1
State Key Laboratory of Intelligent Power Distribution Equipment and System, Tianjin University, Tianjin 300072, China
2
Institute of Energy Storage Science and Engineering, Tianjin University, Tianjin 300354, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(11), 5941; https://doi.org/10.3390/app15115941 (registering DOI)
Submission received: 18 April 2025 / Revised: 22 May 2025 / Accepted: 23 May 2025 / Published: 25 May 2025

Abstract

Conventional shared energy storage (SES) allocation and coordinated operation mechanism are mismatched with the actual time-varying demand of the distribution system, resulting in low utilization of energy storage and renewable energy sources (RES), which restricts the system operational efficiency and RES integration. To solve this issue, this paper proposes a centralized shared energy storage (CSES) optimization framework for AC/DC distribution systems with dual-time-scale coordination to address this issue. Firstly, optimal scheduling models for AC/DC distribution systems are formulated. Secondly, a novel CSES optimization framework is established where a large-scale CSES directly connects to multiple subnetworks. This framework maximizes RES utilization by coordinating CSES operation, leveraging complementary RES potential. Thirdly, based on dual-time-scale coordination, intraday stage adjustments are made based on the day-ahead scheduling to accommodate and coordinate with source–load changes. Day-ahead SOC trajectory is processed using linear interpolation to obtain intraday SOC trajectory, ensuring that the state of charge (SOC) constraints are satisfied. An alternating direction multiplication method (ADMM) algorithm is used to coordinate the intraday optimization. Finally, case studies on an AC/DC distribution system comprising three IEEE 33-node AC subnetworks show that the proposed strategy can increase the RES utilization rate to 99.31%, 88.10%, and 99.91%, and reduce the operational cost by 16.51%.
Keywords: AC/DC distribution system; shared energy storage; dual-time-scale framework; optimal scheduling; alternating direction method of multipliers AC/DC distribution system; shared energy storage; dual-time-scale framework; optimal scheduling; alternating direction method of multipliers

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MDPI and ACS Style

Zhu, Y.; Xiao, Q.; Jia, H.; Lu, W.; Jin, Y. Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination. Appl. Sci. 2025, 15, 5941. https://doi.org/10.3390/app15115941

AMA Style

Zhu Y, Xiao Q, Jia H, Lu W, Jin Y. Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination. Applied Sciences. 2025; 15(11):5941. https://doi.org/10.3390/app15115941

Chicago/Turabian Style

Zhu, Yidi, Qian Xiao, Hongjie Jia, Wenbiao Lu, and Yu Jin. 2025. "Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination" Applied Sciences 15, no. 11: 5941. https://doi.org/10.3390/app15115941

APA Style

Zhu, Y., Xiao, Q., Jia, H., Lu, W., & Jin, Y. (2025). Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination. Applied Sciences, 15(11), 5941. https://doi.org/10.3390/app15115941

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