可再生能源2024,Vol.42Issue(5) :694-703.

云储能模式下分布式用户虚拟储能需求评估

Demand assessment for virtual energy storage of distributed user under the cloud mode

王云鹏 胡健 张晓杰 冀瑞强 齐晓妹
可再生能源2024,Vol.42Issue(5) :694-703.

云储能模式下分布式用户虚拟储能需求评估

Demand assessment for virtual energy storage of distributed user under the cloud mode

王云鹏 1胡健 1张晓杰 2冀瑞强 1齐晓妹1
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作者信息

  • 1. 山东理工大学 电气与电子工程学院,山东 淄博 255000
  • 2. 山东理工大学 经济学院,山东 淄博 255000
  • 折叠

摘要

采用分布式储能技术可以改变能量的时空分布,提高配电网消纳分布式能源的灵活性.传统储能模式下储能成本过高、储能资源利用率低,而云储能是一种能够响应分布式储能需求的新型商业模式.文章考虑负荷、可再生能源出力、分时电价以及虚拟储能价格等影响用户虚拟储能需求的因素,建立了云储能模式下分布式用户虚拟储能需求配置优化模型.为验证该模型的有效性,选取社区内14个典型用户为分析对象.算例分析表明,与传统储能模式相比,云储能模式下用户的虚拟储能容量及功率需求分别降低了 18.2%和 7.1%,年化成本降低了4.12%,储能资源利用率提升了8.12%.因此,云储能模式具有很好的应用前景.

Abstract

Distributed energy storage technology can change the temporal and spatial distribution of energy and can improve the flexibility of the distribution network to integrate the distributed renewable energy.Under the traditional mode,the cost of energy storage is high,and the utilization rate of energy storage resources is low.Cloud energy storage is a new business model that can respond to the demand for distributed energy storage.Under the cloud mode,the virtual energy storage configuration model is built by considering the factors that affect the demand for virtual energy storage,such as load,the output of renewable energy,time-of-use electricity price,and cost.A community with 14 typical users is selected as a case to verify the validity of the model established above.Case analysis shows that,under the cloud mode,the virtual capacity and power demand of energy storage for users are 18.2%and 7.1%lower,the annual cost is 4.12%lower,and the utilization rate of energy storage is 8.12%higher than it under the traditional mode.Therefore,the cloud mode of energy storage has a good prospect in the application.

关键词

储能/云模式/虚拟储能需求/年化成本/利用率

Key words

energy storage/cloud mode/virtual capacity demand/annualized cost/utilization rate

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基金项目

山东省自然科学基金(ZR2020MG037)

出版年

2024
可再生能源
辽宁省能源研究所 中国农村能源行业协会 中国资源综合利用协会可再生能源专委会 中国生物质能技术开发中心 辽宁省太阳能学会

可再生能源

CSTPCD北大核心
影响因子:0.605
ISSN:1671-5292
参考文献量23
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