Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation

范 宏; 马艳丽

doi:10.3969/j.issn.1009-1831.2025.05.013

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Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation

更新时间：2026-03-05

- Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation
- Vol. 27, Issue 5, (2025)
- 作者机构：
  
  上海电力大学电气工程学院,上海,200090
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.05.013
  CLC：
- Published：2025
- 稿件说明：
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范宏, 马艳丽. Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation[J]. 2025, 27(5).
DOI：

范宏, 马艳丽. Collaborative optimization operation of source-grid-load-storage considering wind power accommodation and energy storage lifetime degradation[J]. 2025, 27(5). DOI： 10.3969/j.issn.1009-1831.2025.05.013.

摘要

为提升风电消纳率以及系统运行的经济性，提出了考虑混合储能寿命损耗的多时间尺度源网荷储协调调度策略。首先，基于锂离子电池与全钒液流电池的差异化退化机制，建立计及放电深度的电池循环寿命损耗模型，以量化储能寿命退化成本。其次，结合负荷侧需求响应资源的调节特性，通过日前调度计划与日内滚动调整的协同优化，建立了以系统总运行成本和弃风成本最小化为目标的源网荷储优化运行模型。最后通过改进IEEE-30节点算例结果表明，所提策略可有效降低储能寿命损耗成本、提升风电消纳率并显著减少系统总运行成本。

Abstract

To improve wind power accommodation rate and the economy of system operation

a multi-time scale source-grid-load-storage coordinated scheduling strategy that considers the life loss of hybrid energy storage is proposed. Firstly

based on the differential degradation mechanisms of lithium-ion batteries and all-vanadium flow batteries

a battery cycle life loss model accounting for depth of discharge is established to quantify the cost of energy storage life degradation. Secondly

combined with the regulatory characteristics of demand response resources on the load side

through the collaborative optimization of day-ahead scheduling plans and intraday rolling adjustments

an optimal operation model of source-grid-load-storage is built

with the goal of minimizing the total system operating cost and wind curtailment cost. Finally

the results of the modified IEEE-30 bus case study show that the proposed strategy can effectively reduce the cost of energy storage life loss

improve the wind power accommodation rate

and significantly decrease the total system operating cost.

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