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

doi:10.3969/j.issn.2097-0706.2023.07.011

Abstract

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

CLC Number:

TK01⁺9：F7

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.

Figures/Tables 12

Fig.1

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Fig.3

Fig.4

Table 1

Table 2

Table 3

Table 4

Table 5

Fig.5

Fig.6

Table 6

$w 1$ ， $w 2$	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

Table 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