Research on Multi-Region Multi-Energy Flow Coupled System Optimization Scheduling with Shared Energy Storage Considered

Shared energy storage systems feature greater complexity, with intricate scheduling required to tackle the high operational costs. This paper aims to minimize the daily operating expenses of a multi-region, multi-energy flow coupling system incorporating shared energy storage. Taking into account the various equipment within the coupling system and the relevant constraints of shared energy storage, it establishes an optimal scheduling model for such a multi-region, multi-energy flow coupling system with shared energy storage.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155644
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
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Research on Multi-Region Multi-Energy Flow Coupled System Optimization Scheduling with Shared Energy Storage Considered

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article

Research on Multi-Region Multi-Energy Flow Coupled System Optimization Scheduling with Shared Energy Storage Considered

Lei Zhao, Shujuan Wang, Bo Yang, Yue Ma, Wenji Cheng, Jing Wang
article en

Abstract

Shared energy storage systems feature greater complexity, with intricate scheduling required to tackle the high operational costs. This paper aims to minimize the daily operating expenses of a multi-region, multi-energy flow coupling system incorporating shared energy storage. Taking into account the various equipment within the coupling system and the relevant constraints of shared energy storage, it establishes an optimal scheduling model for such a multi-region, multi-energy flow coupling system with shared energy storage.

Thermal Power Research Institute (CN)
Openalex Percentile: Top 74%
Power Systems and Renewable Energy
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