冷热电联供型区域综合能源系统电-热-冷云储能优化配置
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粟世玮
1, 2
,
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王相
2
,
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李咸善
1, 2
,
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胡钰焓
2
,
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熊炜
1, 2
,
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李欣
1, 2
作者信息
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1.梯级水电站运行与控制湖北省重点实验室,湖北 宜昌 443002
2.三峡大学电气与新能源学院,湖北 宜昌 443002
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粟世玮(1979),女,副教授,硕士,研究方向为电力系统运行与控制、综合能源系统,ssw@ctgu.edu.cn;
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王相(1998),女,通信作者,硕士研究生,研究方向为综合能源系统、云储能,s1241715123@163.com;
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李咸善(1964),男,教授,博士,研究方向为微电网运行与控制、电力系统运行与控制,lixianshan@ctgu.edu.cn。
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收起
Optimal Configuration of Electricity-Thermal-Cold Cloud Energy Storage in the Regional Integrated Energy System with CCHP
Author information
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1.Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, Yichang, Hubei 443002, China
2.School of Electrical and New Energy, China Three Gorges University, Yichang, Hubei 443002, China
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文章历史
+
| 收稿日期 |
出版日期 |
| 2023-10-26 |
2025-03-20 |
PDF (3743K)
摘要
随着用户从消费者向产消者转型,越来越多用户有了储电、储热、蓄冷的需求,然而储能的高成本成为了用户侧储能的阻碍,为了解决这一问题,将云储能模式与冷热电联供型(combined cooling heating and power,CCHP)区域综合能源系统进行结合,提出了冷热电联供型区域综合能源系统电/热/冷云储能优化配置模型。首先,构建冷热电联供型区域综合能源系统的结构,并分析其输入、输出转化关系;然后对用户以及云储能提供商的充放能行为进行分析,分别从两主体的角度建立两阶段储能优化配置模型,第一阶段以用户总成本最小为目标对用户储能需求进行优化,第二阶段则在云储能提供商整合用户需求后,以云储能提供商成本最小为目标进行储能配置优化。最后,通过算例验证了云储能模式在储能配置中应用的优势,并对比分析了系统中有无蓄冷以及碳排放因素对储能优化配置的影响。
Abstract
With the transformation of users from consumers to prosumers, more and more users have demands for electricity storage, thermal storage and cooling storage. However, the high cost of energy storage is a barrier for user-side energy storage. To address this issue, the cloud energy storage mode and the regional integrated energy system with combined cooling heating and power (CCHP) are combined to propose an optimized configuration model for electric/thermal/cold cloud energy storage. Firstly, the structure of the regional integrated energy system with CCHP is built along with its input-output conversion relationships analyzed. Then, the energy charging-discharging behaviors of the users and cloud energy storage provider are analyzed. The two-stage energy storage optimization model is established from the perspectives of the two subjects. In the first stage, the user energy storage demand is optimized with the objective of minimizing the user’s total costs. In the second stage, the energy storage configuration is optimized with the objective of minimizing the cloud energy storage provider’s costs after the cloud energy storage providers integrate the user’s demands. Finally, calculation examples are conducted to verify the advantages of the cloud energy storage mode applied on energy storage configurations. Factors of cold storage and carbon emission existed or not in the system are compared to analyze the influences on the optimization configuration of energy storage.
Graphical abstract
关键词
冷热电联供
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储能优化配置
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云储能
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区域综合能源系统
Key words
combined cooling heating and power
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optimization configuration of energy storage
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cloud energy storage
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regional integrated energy system
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粟世玮,王相,李咸善,胡钰焓,熊炜,李欣.
冷热电联供型区域综合能源系统电-热-冷云储能优化配置[J].
南方电网技术, 2025, 19(3): 24-38 DOI:10.13648/j.cnki.issn1674-0629.2025.03.003
基金资助
国家自然科学基金资助项目(52107107)