考虑改进阶梯式碳交易机制与需求响应的综合能源系统优化调度

doi:10.3969/j.issn.2097-0706.2023.07.011

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (7): 97-106.doi: 10.3969/j.issn.2097-0706.2023.07.011

• 电力交易与管理 • 上一篇

考虑改进阶梯式碳交易机制与需求响应的综合能源系统优化调度

葛磊蛟¹(), 于惟坤²(), 朱若源²^,^*(), 王关涛²(), 白星振²()

1.天津大学电气自动化与信息工程学院，天津 300072
2.山东科技大学电气与自动化工程学院，山东青岛 266590

收稿日期:2023-04-14 修回日期:2023-05-30 接受日期:2023-06-24 出版日期:2023-07-25
通讯作者: *朱若源（1997），男，在读硕士研究生，从事综合能源系统优化研究，982827570@qq.com。
*朱若源（1997），男，在读硕士研究生，从事综合能源系统优化研究，982827570@qq.com。
作者简介:葛磊蛟（1984），男，副教授，博士，从事智能配电网态势感知、云计算和大数据方面的研究，legendglj@tju.edu.cn；
于惟坤（1998），男，在读硕士研究生，从事配电台区拓扑关系辨识、综合能源系统优化等方面的研究，2662323124@qq.com；
王关涛（1998），男，在读硕士研究生，从事综合能源系统优化研究，1539372350@qq.com；
白星振（1977），男，教授，博士，从事智能配电网状态估计与感知、智能数据分析及应用等方面的研究，xzbai@163.com。
基金资助:
国家自然科学基金项目(52277118);天津市自然科学基金重点项目(22JCZDJC00660)

Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses

GE Leijiao¹(), YU Weikun²(), ZHU Ruoyuan²^,^*(), WANG Guantao²(), BAI Xingzhen²()

1. School of Electrical and Information Engineering， Tianjin University，Tianjin 300072，China
2. School of Electrical and Automation Engineering， Shandong University of Science and Technology， Qingdao 266590， China

Received:2023-04-14 Revised:2023-05-30 Accepted:2023-06-24 Published:2023-07-25
Supported by:
National Natural Science Foundation of China(52277118);Natural Science Foundation of Tianjin(22JCZDJC00660)

摘要/Abstract

摘要：

综合能源系统是推动我国“双碳”目标实施，实现国家能源低碳转型的重要手段之一。为有效提升IES碳减排能力和经济效益水平，提出一种考虑改进阶梯式碳交易机制与需求响应的IES优化调度模型。首先，在能量中心框架下引入碳流模型，促进反应系统中二氧化碳的流动，并改进阶梯式碳交易机制，从而有力推动系统碳减排；其次，引入用户侧的多能需求响应，以价格激励推进用户用能方式转变，促进可再生能源消纳；最后，考虑决策者偏好，以改进碳交易机制为连接点，建立IES低碳经济优化调度模型，以碳排放指标和用户舒适度引导运行调度，并利用CPLEX求解器对IES模型进行求解。进一步，通过5种场景对所提模型和方法进行仿真验证，结果证明了改进碳交易机制、需求响应机制与优化调度模型的配合可有效提高IES的低碳性和经济性。

关键词: 综合能源系统, “双碳”目标, 改进阶梯式碳交易机制, 碳流模型, 需求响应, 优化调度

Abstract:

The integrated energy system （IES） is an important approach to pursue the "dual carbon" target and achieve low-carbon energy transformation of China. In order to facilitate the carbon emission reduction of the IES and improve its economic benefits， an IES optimization scheduling model considering improved stepped carbon trading mechanism and demand response mechanism is proposed. Firstly， a carbon flow model is introduced in the energy hub framework to reflect the flow of carbon dioxide in the system， and an improved stepped carbon trading mechanism is proposed to facilitate carbon reduction of the system. Then， the multi-energy demand response mechanism on user side is introduced to drive the transformation of energy usage pattern motivated by pricing mechanism，so as to promote the consumption of renewable energy. Considering decision maker preference， with the improved stepped carbon trading mechanism as the connection point， a low-carbon IES economic optimization scheduling model is established. The optimization scheduling is guided by the carbon emission index and user comfort， and CPLEX solver is used to solve the scheduling model. The proposed model and mechanisms are verified under five scenarios， whose results prove that the cooperation of the improved carbon trading mechanism， demand response mechanism and optimization scheduling model can effectively lower the carbon emissions and improve the economy of IESs.

Key words: integrated energy system, dual carbon target, improved stepped carbon trading mechanism, carbon flow model, demand response, optimization scheduling

中图分类号:

TK01⁺9：F7

葛磊蛟, 于惟坤, 朱若源, 王关涛, 白星振. 考虑改进阶梯式碳交易机制与需求响应的综合能源系统优化调度[J]. 综合智慧能源, 2023, 45(7): 97-106.

GE Leijiao, YU Weikun, ZHU Ruoyuan, WANG Guantao, BAI Xingzhen. Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses[J]. Integrated Intelligent Energy, 2023, 45(7): 97-106.

图/表 12

图1

图2

图3

图4

表1

表2

表3

表4

表5

图5

图6

表6

Scheduling results based on decision maker preference 元

$w 1$ ， $w 2$	低碳成本	经济成本
0.1，0.9	4 144.8	66 253.8
0.3，0.7	3 132.1	66 304.2
0.6，0.4	2 334.4	66 983.4
0.7，0.3	2 300.1	67 559.2
0.9，0.1	1 934.7	71 239.1

表6

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项目	时段	数值
电价/[元·(kW·h)^-1]	00:00—7:00,22:00—24:00	0.48
	07:00—11:00,04:00—18:00	0.88
	11:00—14:00,18:00—22:00	1.10
气价/(元·m^-3)	00:00—24:00	0.35

设备	容量/kW	能量转化效率/%	爬坡约束/%
CHP机组	1 400	35(气转电)	20
CHP机组	1 400	45(气转热)	20
GB	600	82	20
P2G设备	500	60	20
WHB	630	80	20

设备	容量/kW	容量上/下限约束/%	爬坡约束/%	自损率/%	储、放能效率/%
储电	450	90/10	20	0.1	95
储热	500	90/10	20	1.0	95
储气	300	90/10	20	1.0	95

碳排放参数	数值
单位电量CO₂排放量/[t·(MW·h)^-1]	1.080
单位热量CO₂排放量/(t·GJ^-1)	0.065
单位气负荷CO₂排放量/[t·(MW·h)^-1]	0.200
电-热折算系数/[MJ·(kW·h)^-1]	6

项目	场景1	场景2	场景3	场景4	场景5
购能成本/元	18 077.1	17 892.8	17 481.2	17 265.2	16 614.9
弃风成本/元	334.5	334.5	55.8	0	128.1
需求响应补偿成本/元	0	0	641.3	768.5	819.0
碳交易成本/元	2 875.3	2 410.0	2 459.9	2 334.4	1 600.4
碳交易基价/增长率修正	0.50/0.25	0.50/0.50	0.50/0.50	0.50/0.50
碳交易量/kg	3 667.0	3 880.1	3 946.5	3 779.2	4 700.9
总成本/元	29 931.7	29 282.1	28 463.9	28 665.8	27 617.5

考虑改进阶梯式碳交易机制与需求响应的综合能源系统优化调度

Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses

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