计及广义储能的建筑产消者社区综合能源系统日前调度优化

doi:10.3969/j.issn.2097-0706.2025.07.009

综合智慧能源 ›› 2025, Vol. 47 ›› Issue (7): 82-92.doi: 10.3969/j.issn.2097-0706.2025.07.009

• 新能源与储能系统优化 • 上一篇

计及广义储能的建筑产消者社区综合能源系统日前调度优化

张德斌¹^,²(), 林文野¹^,²^,^*(), 何梓轩¹^,³(), 岳心如¹^,⁴(), 宋文吉¹^,²(), 冯自平¹^,²(), FARID Mohammed Mehdi⁵(), USHAK DE GRAGEDA Svetlana Nikolaevna⁶()

1.中国科学院广州能源研究所，广州 510640
2.中国科学技术大学能源科学与技术学院，广州 510640
3.广东工业大学土木与交通工程学院，广州 510006
4.沈阳化工大学化学工程学院，沈阳 110142
5.奥克兰大学化学与材料工程系，奥克兰 1142，新西兰
6.安托法加斯塔大学化学工程与矿物加工系，安托法加斯塔 02800，智利

收稿日期:2024-10-30 修回日期:2024-12-16 出版日期:2025-07-25
通讯作者: ^*林文野（1988），男，研究员，博士生导师，博士，从事可再生能源、建筑节能和相变蓄能技术方面的研究，linwy@ms.giec.ac.cn。
作者简介:张德斌（1996），男，博士生，从事综合能源系统设计与优化方面的研究， zhangdb@ms.giec.ac.cn；
何梓轩（1999），男，工程师，硕士，从事大型空调系统运维等方面的研究，hinsho0114@iCloud.com；
岳心如（1999），女，硕士生，从事相变蓄能材料制备、性能优化等方面的研究，yuexr@ms.giec.ac.cn；
宋文吉（1978），男，研究员，博士生导师，博士，从事冰浆制备、冰源热泵、大规模储能及控制技术等方面的研究，songwj@ms.giec.ac.cn；
冯自平（1968），男，研究员，博士生导师，博士，从事空调、热泵、蓄能、储电、联合循环、工业节能等方面的研究，fengzp@ms.giec.ac.cn；
MOHAMMED Mehdi Farid（1949），男，教授，博士生导师，博士，从事相变储能、相变材料制备等方面的研究，m.farid@auckland.ac.nz；
USHAK DE GRAGEDA Svetlana Nikolaevna（1972），女，教授，博士生导师，博士，从事太阳能、储热材料制备等方面的研究，svetlana.ushak@uantof.cl。
基金资助:
中国科学院国际交流计划项目(2024DE0003);广东省国际科技合作基地项目(2023A0505090006)

Day-ahead dispatch optimization for integrated energy system in building prosumer community using generalized energy storage

ZHANG Debin¹^,²(), LIN Wenye¹^,²^,^*(), HE Zixuan¹^,³(), YUE Xinru¹^,⁴(), SONG Wenji¹^,²(), FENG Ziping¹^,²(), FARID Mohammed Mehdi⁵(), USHAK DE GRAGEDA Svetlana Nikolaevna⁶()

1. Guangzhou Institute of Energy Conversion，Chinese Academy of Sciences，Guangzhou 510640，China
2. School of Energy Science and Engineering，University of Science and Technology of China，Guangzhou 510640，China
3. School of Civil and Transportation Engineering，Guangdong University of Technology，Guangzhou 510006，China
4. School of Chemical Engineering，Shenyang University of Chemical Technology，Shenyang 110142，China
5. Department of Chemical and Materials Engineering， University of Auckland， Auckland 1142， New Zealand
6. Department of Chemical Engineering and Mineral Processes，University of Antofagasta，Antofagasta 02800，Chile

Received:2024-10-30 Revised:2024-12-16 Published:2025-07-25
Supported by:
CAS President's International Fellowship Initiative(2024DE0003);International Science and Technology Cooperation Base Project of Guangdong Province(2023A0505090006)

摘要/Abstract

摘要：

综合能源系统作为推动能源结构绿色低碳转型的重要手段，可通过广义储能（柔性负荷和传统储能的组合）实现多能互补和高比例可再生能源消纳。然而在综合能源系统的削峰填谷能力和经济性影响方面，广义储能缺乏量化效益研究。构建了计及广义储能的建筑产消者社区综合能源系统，并针对广义储能提出了削峰填谷能力和经济性的评价指标。以综合能源系统日前运行调度经济性最优为目标，利用Matlab中的Yalmip工具箱和Gurobi求解器对4种不同优化情景算例进行求解，对比分析传统储能、柔性负荷和广义储能对建筑产消者社区综合能源系统的削峰填谷能力和经济性的影响。优化结果表明，采用广义储能可降低建筑产消者社区综合能源系统日运行费用的24.0%。计及广义储能的综合能源系统削峰填谷能力和经济性优于传统储能，且柔性负荷调节的经济性相比传统储能更具优势，但在补偿价格较高的情况下，柔性负荷调节可能不如传统储能。

关键词: 综合能源系统, 广义储能模式, 柔性负荷, 削峰填谷, 日前调度优化

Abstract:

Integrated energy system is an important approach for green and low-carbon transformation of the energy structure. It can achieve multi-energy complementarity and high-ratio renewable energy consumption through generalized energy storage （i.e. a combination of flexible loads and traditional energy storage）. However， there is a lack of quantitative analysis on the economic performance of using generalized energy storage in integrated energy systems， particularly in load-shifting capability and cost-effectiveness. An integrated energy system for a building prosumer community， employing generalized energy storage， was developed in this study， and evaluation metrics for load-shifting capability and economic performance of generalized energy storage were proposed. A day-ahead economic dispatch optimization of the integrated energy system was formulated to maximise operational economic benefits. Four optimization scenarios were designed to compare the contributions of traditional energy storage， flexible loads， and both generalized energy storage approaches to the load-shifting capability and economic benefits of the proposed system. The optimization scenarios were resolved using the Yalmip toolbox and Gurobi solver in Matlab. The optimization results showed that generalized energy storage reduced the daily operational cost of the integrated energy system by 24.0%. Both the load-shifting capability and economic performance of the integrated energy system with the generalized energy storage outperformed traditional energy storage， while the flexible load management provided superior economic performance compared to traditional energy storage. However， in the case with high compensation price， the economic performance of flexible load management might be less favorable than that of traditional energy storage.

Key words: integrated energy system, generalized energy storage, flexible load, load shifting, day-ahead economic dispatch optimization

中图分类号:

TK01：TE09

张德斌, 林文野, 何梓轩, 岳心如, 宋文吉, 冯自平, FARID Mohammed Mehdi, USHAK DE GRAGEDA Svetlana Nikolaevna. 计及广义储能的建筑产消者社区综合能源系统日前调度优化[J]. 综合智慧能源, 2025, 47(7): 82-92.

ZHANG Debin, LIN Wenye, HE Zixuan, YUE Xinru, SONG Wenji, FENG Ziping, FARID Mohammed Mehdi, USHAK DE GRAGEDA Svetlana Nikolaevna. Day-ahead dispatch optimization for integrated energy system in building prosumer community using generalized energy storage[J]. Integrated Intelligent Energy, 2025, 47(7): 82-92.

图/表 13

图1

图2

图3

图4

表1

设备的技术和经济性参数

设备	技术和经济性参数
蓄电池	$η b c = 0.96$ ； $η b d = 0.96$ ； $η b L = 0.001$ ； $k b = 0.032 2$ 元/(kW·h)； $E Σ = 150$ kW·h； $P m a x c = P m a x d = 40 k W$
蓄热槽	$η h c = 0.98$ ； $η h d = 0.98$ ； $η h L = 0.02$ $k h = 0.001$ 元/(kW·h)； $U Σ = 100$ kW·h； $Q m a x c = Q m a x d = 30 k W$
光伏、风机	$k p v = 0.009 6$ 元/(kW·h)； $k w t = 0.029 6$ 元/(kW·h)
mCHP	$η c h p e = 0.26$ ； $η c h p h = 0.54$ ； $k c h p = 0.026$ 元/(kW·h)
电热泵	$η e h p = 3.2$ ； $k e h p = 0.01$ 元/(kW·h)
燃气热泵	$η g h p = 1.67$ ； $k g h p = 0.01$ 元/(kW·h)

表1

图5

图6

图7

图8

图9

图10

表2

表3

4类场景的经济性比较

场景	系统每日总削峰填谷负荷 $P Σ$ /kW	系统日运行成本 $C Σ$ /元	单位节约成本 $φ$ /[元·（kW·h）^-1]
1	0	1 966
2	741	1 845	0.16
3	1 083	1 603	0.34
4	1 465	1 494	0.32

表3

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项目	收益
可削减电负荷	0.800 0（峰电价 - 补偿价格)
蓄电池	0.735 6（峰电价 - 谷电价 - 2× 运维费）
可平移电负荷	0.600 0（峰电价 - 谷电价 - 补偿价格）
可转移电负荷	0.500 0（峰电价 - 谷电价 - 补偿价格）
蓄热槽	-0.002 0（-2 × 运维费）
可平移热负荷	-0.100 0 (补偿价格)
可削减热负荷	-0.200 0 (补偿价格)

计及广义储能的建筑产消者社区综合能源系统日前调度优化

Day-ahead dispatch optimization for integrated energy system in building prosumer community using generalized energy storage

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