Optimization dispatching strategy for an energy storage system considering its unused capacity sharing

Hejun Yang; Zhaochen Yang; Siyang Liu; Dabo Zhang; Yun Yu

doi:10.1016/j.gloei.2024.10.008

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Optimization dispatching strategy for an energy storage system considering its unused capacity sharing

Power Storage and Hydrogen Utilization Key Technologies | 更新时间：2026-10-05

- Optimization dispatching strategy for an energy storage system considering its unused capacity sharing
- Optimization dispatching strategy for an energy storage system considering its unused capacity sharing
- 全球能源互联网(英文) 2024年7卷第5期页码：590-602
- 作者机构：
  
  1. Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology,Hefei,PR China,230009
  2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute,Beijing,PR China,100192
  3. Department of Energy Technology, Aalborg University, Aalborg,Denmark,9220
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2024.10.008
  中图分类号：
- 网络首发：2024-11-07，
  
  纸质出版：2024-11-07
- 稿件说明：
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Hejun Yang, Zhaochen Yang, Siyang Liu, 等. Optimization dispatching strategy for an energy storage system considering its unused capacity sharing[J]. 全球能源互联网(英文), 2024,7(5):590-602.

Hejun Yang, Zhaochen Yang, Siyang Liu, et al. Optimization dispatching strategy for an energy storage system considering its unused capacity sharing[J]. Global Energy Interconnection, 2024, 7(5): 590-602.
Hejun Yang, Zhaochen Yang, Siyang Liu, 等. Optimization dispatching strategy for an energy storage system considering its unused capacity sharing[J]. 全球能源互联网(英文), 2024,7(5):590-602. DOI： 10.1016/j.gloei.2024.10.008.

Hejun Yang, Zhaochen Yang, Siyang Liu, et al. Optimization dispatching strategy for an energy storage system considering its unused capacity sharing[J]. Global Energy Interconnection, 2024, 7(5): 590-602. DOI： 10.1016/j.gloei.2024.10.008.

摘要

Abstract

In renewable energy systems

energy storage systems can reduce the power fluctuation of renewable energy sources and compensate for the prediction deviation. However

if the renewable energy prediction deviation is small

the energy storage system may work in an underutilized state. To efficiently utilize a renewable-energy-sided energy storage system (RES)

this study proposed an optimization dispatching strategy for an energy storage system considering its unused capacity sharing. First

this study proposed an unused capacity-sharing strategy for the RES to fully utilize the storage’s unused capacity and elevate the storage’s service efficiency. Second

RES was divided into “deviation-compensating energy storage (DES)” and “sharing energy storage (SES)” to clarify the function of RES in the operation process. Third

this study established an optimized dispatching model to achieve the lowest system operating cost wherein the unused capacity- sharing strategy could be integrated. Finally

a case study was investigated

and the results indicated that the proposed model and algorithm effectively improved the utilization of renewable-energy-side energy storage systems

thereby reducing the total operation cost and pressure on peak shaving.

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