含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度

doi:10.11930/j.issn.1004-9649.202312011

摘要/Abstract

摘要：

为提升综合能源系统（integrated energy system，IES）的可再生能源消纳以及低碳经济效益，提出含电转气（power-to-gas，P2G）和碳捕集（carbon capture system，CCS）耦合的综合能源系统多时间尺度优化调度模型。首先，建立基于阶梯型碳交易机制的含P2G和CCS耦合模型，并构建多能量转换设备和储能设备组成的电-热-冷综合能源系统；其次，基于多时间尺度的优化调度策略，以购能成本、运维成本、碳交易成本、弃风光成本为目标函数建立日前-日内滚动-实时调整3个阶段的优化调度模型；最后，以四川某工业园区为例进行仿真，结果证明本文提出的模型有效提高了综合能源系统的低碳经济效益、能源利用率和系统稳定性。

关键词: 碳捕集, 电转气, 多时间尺度, 综合能源系统

Abstract:

To improve the renewable energy consumption and low-carbon economic benefits of the integrated energy system (IES), this paper proposes a multi-time scale coordinated optimal scheduling model for IES that combines power-to-gas (P2G) and carbon capture system (CCS). Firstly, a coupling model of P2G and CCS based on a tiered carbon trading mechanism is established, and an electric-thermal-cooling IES is constructed using multiple energy conversion and storage devices. Secondly, based on the multi-time scale optimization scheduling strategy, an optimal scheduling model is established respectively for three stages including day-ahead, intra-day rolling, and real-time adjustment with energy purchasing costs, operation and maintenance cost, carbon trading cost, and wind and solar curtailment cost as objective function. Finally, a simulation was conducted using a case study of an industrial park in Sichuan. The results demonstrate that the proposed model effectively improves the low-carbon economic benefits, energy utilization efficiency, and system stability of the IES.

Key words: carbon capture, power-to-gas, multi-time scale, integrated energy system

王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226.

Hui WANG, Kerui ZHOU, Zuohui WU, Zhichao ZOU, Xin LI. Multi-time Scale Optimal Scheduling of Integrated Energy System Coupling Power-to-Gas and Carbon Capture System[J]. Electric Power, 2024, 57(8): 214-226.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312011

https://www.electricpower.com.cn/CN/Y2024/V57/I8/214

图/表 17

图 1 综合能源系统结构

Fig.1 Structure of integrated energy system

图 2 CCS与P2G耦合系统结构

Fig.2 Structure of CCS and P2G coupling system

图 3 多时间尺度优化调度流程框架

Fig.3 Framework of multi-time scale coordinated optimization scheduling process

表 1 分时电/气价

Table 1 Time-of-use electricity/gas prices

阶段	时段		购电电价/ (元·(kW·h)^–1)	购气气价/ (元·m^–3)
阶段	电	气	购电电价/ (元·(kW·h)^–1)	购气气价/ (元·m^–3)
低谷	00:00—06:00	06:00—12:00 18:00—24:00	0.47	1.57
高峰	06:00—12:00 18:00—24:00	00:00—06:00 12:00—18:00	1.24	2.46
平稳	12:00—18:00		0.89

图 4 新能源及电、热、冷负荷日前预测

Fig.4 Day-ahead forecast of new energy and electricity, heating, and cooling loads

表 2 IES系统各能量转换设备各参数

Table 2 Parameters of different energy conversion devices in the IES system

设备类型	功率/kW			效率	运维费用/ (元·kW^–1)
设备类型	上限	下限	爬坡	效率	运维费用/ (元·kW^–1)
WT	2000	0			0.070
PV	1500	0		0.157	0.039
MT	600	150	120	0.930	0.040
HRB				0.350
AC				0.280
GB	600	0	400	0.900	0.025
EB	600	0	120	1.600	0.012
EC	500	0	100	0.800	0.028
EL	500	0	100	0.870	0.023
MR	350	0	70	0.600	0.031
CCS	1500	0	100	0.550	0.012

表 3 储能设备各参数

Table 3 Parameters of energy storage devices

储能设备	容量/kW			充放电最大容量/kW	充放电容量变化率
储能设备	初始	上限	下限	充放电最大容量/kW	充放电容量变化率
EES	135	360	90	225	0.95
TES	150	400	100	250	0.95
CES	45	120	30	75	0.95

表 4 日前调度系统各场景运行结果

Table 4 Operation results of different scenarios in the day-ahead dispatch system

场景	成本/元									碳捕集量/t	总碳排放/t
场景	运维	购电	购气	购碳	碳封存	碳交易	弃风	弃光	总计	碳捕集量/t	总碳排放/t
情景1	2884.77	10134.83	17465.93	0	0	6450.07	3099.91	2496.03	42531.55	0	14668.04
情景2	3239.39	10546.87	16148.88	2867.09	0	5990.97	1629.39	1106.70	41549.53	0	13677.19
情景3	3084.22	9163.11	20824.77	0	754.44	5545.46	2524.09	1641.17	43537.26	2321.35	12846.00
情景4	3309.90	13791.33	12962.66	0	889.90	5049.16	1062.20	1045.70	38110.85	2738.15	11920.15

图 5 不同情景下新能源消纳

Fig.5 New energy utilization under different scenarios

图 6 碳追踪

Fig.6 Carbon tracking chart

图 7 电功率优化结果

Fig.7 Electric power optimization results

图 8 气功率优化结果

Fig.8 Gas power optimization results

图 9 热功率优化结果

Fig.9 Thermal power optimization results

图 10 冷功率优化结果

Fig.10 Cold power optimization results

表 5 多时间尺度优化调度结果

Table 5 Optimization dispatch results for multiple time scales

调试方式	消纳量/kW		消纳率/%		日运行成本/元	系统碳排放/t	碳捕集量/t
调试方式	风电	光伏	风电	光伏	日运行成本/元	系统碳排放/t	碳捕集量/t
日前	262.71	145.56	96.80	98.80	38110.85	11920.07	2738.15
日内	263.78	146.22	97.34	99.68
实时	263.97	146.05	99.48	99.28	39972.58	10060.61	2818.05

图 11 多时间尺度碳捕集的功率输出对比

Fig.11 Power output comparison of carbon capture at multiple time scales

图 12 多时间尺度新可再生能源上网功率

Fig.12 Power output of multiple time scales for renewable energy integration

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