计及电动汽车充电方式与多能耦合的综合能源系统低碳经济优化运行

doi:10.16183/j.cnki.jsjtu.2022.364

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (5): 669-681.doi: 10.16183/j.cnki.jsjtu.2022.364

• 新型电力系统与综合能源 • 上一篇下一篇

计及电动汽车充电方式与多能耦合的综合能源系统低碳经济优化运行

张程¹^,²(), 匡宇¹, 陈文兴³, 郑杨¹

1.福建理工大学电子电气与物理学院,福州 350118
2.智能电网仿真分析与综合控制福建省高校工程研究中心,福州 350118
3.国网福建省电力有限公司宁德供电公司, 福建宁德 352100

收稿日期:2022-09-19 修回日期:2023-01-02 接受日期:2023-02-06 出版日期:2024-05-28 发布日期:2024-06-17
作者简介:张程(1982-),博士,副教授,研究方向为电力系统稳定与控制、新能源等; E-mail:zhangcheng@fjut.edu.cn.
基金资助:
国家自然科学基金项目(51977039)

Low Carbon Economy Optimization of Integrated Energy System Considering Electric Vehicle Charging Mode and Multi-Energy Coupling

ZHANG Cheng¹^,²(), KUANG Yu¹, CHEN Wenxing³, ZHENG Yang¹

1. School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, China
2. Fujian Provincial University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fuzhou, 350118, China
3. Ningde Power Supply Company, State Grid Ningde Electric Power Co., Ltd., Ningde 352100, Fujian, China

Received:2022-09-19 Revised:2023-01-02 Accepted:2023-02-06 Online:2024-05-28 Published:2024-06-17

摘要/Abstract

摘要：

为使多能耦合的综合能源系统(IES)在低碳经济运行下可满足负荷多样性的需求,提出一种在电动汽车(EV)不同充电方式下多能耦合的IES低碳经济运行双层优化配置方法.首先,搭建涵盖冷-热-电-气耦合的IES模型.然后,在日内调度运行阶段考虑阶梯碳交易机制以及EV不同充电方式等因素,实现日调度成本最低;在配置规划阶段以设备投资成本与年运行费用总和最低为目标配置设备容量.最后,利用Cplex求解上述两阶段目标函数并通过相互迭代得到最优配置方案与调度结果.结果表明:考虑剩余电量的EV充电方式与碳交易机制能显著降低碳排放量与系统运行成本,所提配置方法可实现多能耦合的IES低碳经济运行.

关键词: 综合能源系统, 电动汽车, 双层优化, 配置, 低碳调度

Abstract:

In order to enable a multi-energy coupling integrated energy system (IES) to meet the needs of load diversity in low-carbon economic operation, a bi-level optimal configuration method for low-carbon economic operation of multi-energy coupling IES in different charging modes of electric vehicles (EVs) is proposed. First, an IES including cold-thermal-electric-gas coupling is established. Then, in the day-to-day operation stage, factors such as hierarchical carbon trading mechanism and different charging modes of EVs are considered to achieve the lowest daily scheduling cost. In the configuration planning stage, based on the daily operation cost, the equipment capacity is configured with the lowest equipment investment cost and annual operation cost. Finally, Cplex is used to solve the above two-stage objective functions and obtain the optimal configuration scheme and scheduling results through mutual iteration. The results show that the charging method considering the remaining charge of EVs and carbon trading mechanism can significantly reduce carbon emissions and operating costs of the system. The proposed configuration approach can well realize low-carbon economic operation of the multi-energy coupling IES.

Key words: integrated energy system (IES), electric vehicle (EV), bi-level optimization, configuration, low-carbon dispatch

中图分类号:

TM732

张程, 匡宇, 陈文兴, 郑杨. 计及电动汽车充电方式与多能耦合的综合能源系统低碳经济优化运行[J]. 上海交通大学学报, 2024, 58(5): 669-681.

ZHANG Cheng, KUANG Yu, CHEN Wenxing, ZHENG Yang. Low Carbon Economy Optimization of Integrated Energy System Considering Electric Vehicle Charging Mode and Multi-Energy Coupling[J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 669-681.

图/表 20

图1

图2

图3

表1

表2

图4

图5

图6

图7

图8

图9

图10

表3

Daily operation costs of the system 元

季节	C_DR	C_GN	C_M	$C C O 2$	C_CCS	F₁
冬季	242	20141	348	2210	128	23069
过渡季	266	17537	329	2065	343	20540
夏季	428	19005	408	2720	718	23279

表3

图11

表4

表5

表6

Annual costs of four cases 元

场景	C_DR	C_GN	C_M	$C C O 2$	C_CCS	F_inv
1	142051	7439914	141550	1114890	206504	2580400
2	131559	7163903	133932	959132	184592	2486810
3	110846	6776861	129983	840743	147061	2365655
4	109834	6770421	129063	827035	140345	2280380

表6

表7

Annual cost comparison of three cases 元

场景	C_DR	C_GN	C_M	$C C O 2$	C_CCS	F₂
5	110235	6785386	120879	1167834	0	10348724
6	110846	6778248	128699	1117250	0	10281593
7	109834	6770421	129063	827035	140345	10257078

表7

图12

图13

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时段	具体时间	电价/(元·kW^-1·h^-1)
峰时段	8:00—11:00,18:00—21:00	0.804
平时段	6:00—7:00,12:00—17:00	0.550
谷时段	1:00—5:00,22:00—24:00	0.295

能源设备	寿命/a	投资成本/ (元·kW^-1)	维护成本/ (元·kW^-1)	效率
WT	25	10000	0.01
PV	25	12000	0.01
GB	20	8000	0.01	0.9
AC	15	1000	0.01	0.99
EC	15	1500	0.02	3
ES	20	800	0.15	0.9
HS	20	50	0.05	0.95
CS	20	100	0.05	0.95
WHB	15	200	0.05	0.4
HST	20	600	0.15	0.95
GT	15	7800	0.01	0.7
EB	15	7500	0.01	0.9
EW	15	13500	0.01	0.8
MET	15	15000	0.01	0.8

季节	峰谷差/kW
季节	初始	优化后	考虑EV
夏季	579.1	415.0	493.2
冬季	341.0	242.5	272.1
过渡季	378.9	254.0	310.0

负荷类型	配置容量/(kW·h)
负荷类型	场景1	场景2	场景3	场景4
WT	290	290	290	280
PV	290	280	277	272
GB	13	24	25	26
AC	104	104	75	66
EC	225	224	223	227
ES	125	126	127	107
HS	364	397	383	243
CS	304	243	266	200
WHB	106	96	85	74
HST	271	260	262	263
GT	837	722	631	536
EB	257	262	264	270
EW	102	103	90	92
MET	440	443	423	423

计及电动汽车充电方式与多能耦合的综合能源系统低碳经济优化运行

Low Carbon Economy Optimization of Integrated Energy System Considering Electric Vehicle Charging Mode and Multi-Energy Coupling

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