计及水电特性的青海多能互补储能优化配置

何品坤; 马俊; 刘初磊; 刘庭响; 李正曦; 彭杨; 肖峰

doi:10.11660/slfdxb.20260205

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计及水电特性的青海多能互补储能优化配置

更新时间：2026-02-23

- 计及水电特性的青海多能互补储能优化配置
- Optimal configuration of multi-energy complementary energy storage in Qinghai accounting for hydropower characteristics
- 水力发电学报 2026年45卷第2期
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- DOI：10.11660/slfdxb.20260205
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- 网络首发：2026-02-25，
  
  纸质出版：2026-02-25
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何品坤, 马俊, 刘初磊, 等. 计及水电特性的青海多能互补储能优化配置[J]. 水力发电学报, 2026,45(2).

何品坤, 马俊, 刘初磊, et al. Optimal configuration of multi-energy complementary energy storage in Qinghai accounting for hydropower characteristics[J]. Journal of Hydroelectric Engineering, 2026, 45(2).
何品坤, 马俊, 刘初磊, 等. 计及水电特性的青海多能互补储能优化配置[J]. 水力发电学报, 2026,45(2). DOI： 10.11660/slfdxb.20260205.

何品坤, 马俊, 刘初磊, et al. Optimal configuration of multi-energy complementary energy storage in Qinghai accounting for hydropower characteristics[J]. Journal of Hydroelectric Engineering, 2026, 45(2). DOI： 10.11660/slfdxb.20260205.

摘要

针对青海电网高比例新能源接入下风光波动与水电丰枯差异叠加的调节与消纳难题，本文构建了一种计及水电出力特性及其与新能源互补特性的储能容量双层优化模型，通过引入分时段水电运行约束，将水电特性量化并嵌入模型之中。结果显示：基于青海电网某典型年数据，在计及水电分时段约束的基准场景下，优化所得储能配置为526 MW/1578 MWh，储能时长3 h，新能源利用率91%。进一步改变水电运行方式为无约束、全年宽约束和全年窄约束，所得新能源利用率分别为84%、88%、86%。证明了考虑水电特性，量化水电运行约束可有效提升储能配置结果的合理性与工程适用性，从而促进新能源消纳。

Abstract

To address the combined challenges of wind-solar power fluctuations and seasonal hydropower disparities in the Qinghai grid under high renewable energy penetration

this paper presents a bi-level optimization model for energy storage capacity planning. The model explicitly considers the patterns of hydropower output and its complementarity with renewable energy by incorporating time-dependent operational constraints that quantify these characteristics. For a typical year

the optimized storage configuration in the scenario under certain time-segmented hydropower constraints is 526 MW/1578 MWh with a 3-hour duration

achieving a 91% renewable energy utilization rate. This rate is higher than the ones of 84%

88%

and 86% achieved by the hydropower operations under no constraint

annual wide-constraint

and annual narrow-constraint

respectively. It verifies that our novel method that represents the hydropower features using quantified constraints enhances its rationality and applicability in practical applications of the storage configuration

thereby supporting higher renewable energy integration.

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