集装箱港口综合能源系统日前-日内两阶段滚动优化调度

doi:10.16183/j.cnki.jsjtu.2023.016

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (9): 1357-1369.doi: 10.16183/j.cnki.jsjtu.2023.016

• 新型电力系统与综合能源 • 上一篇下一篇

集装箱港口综合能源系统日前-日内两阶段滚动优化调度

周思怡¹, 杨欢红¹(), 黄文焘², 周泽¹, 焦伟¹, 杨镇瑜¹

1.上海电力大学电气工程学院, 上海 200090
2.上海交通大学电力传输与功率变换控制教育部重点实验室, 上海 200240

收稿日期:2023-01-11 修回日期:2023-03-15 接受日期:2023-05-04 出版日期:2024-09-28 发布日期:2024-10-11
通讯作者: 杨欢红,副教授;E-mail:yanghuanhong0907@163.com.
作者简介:周思怡(1997—),硕士生,从事综合能源系统优化调度研究.
基金资助:
国家自然科学基金项目(52177100);电力传输与功率变换控制教育部重点实验室开放课题(2022AA05)

Two-Stage Day-Ahead and Intra-Day Rolling Optimization Scheduling of Container Integrated Port Energy System

ZHOU Siyi¹, YANG Huanhong¹(), HUANG Wentao², ZHOU Ze¹, JIAO Wei¹, YANG Zhenyu¹

1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2023-01-11 Revised:2023-03-15 Accepted:2023-05-04 Online:2024-09-28 Published:2024-10-11

摘要/Abstract

摘要：

针对目前集装箱港口综合能源系统(IPES)未考虑冷藏集装箱在港口调度上时间尺度的差异性及可再生能源与负荷不确定性的影响,提出一种集装箱IPES日前-日内两阶段滚动优化调度方法.日前调度针对冷藏集装箱温升阶段,结合冷藏箱入港后的物流过程建立港口冷链能量需求模型,以运行成本最低为目标得到系统各机组的日前出力值;日内调度考虑港口岸电负荷与可再生能源的预测误差及冷、热、电响应速度不同,建立日内双层滚动优化模型,最终得到港口各能源设备的调整出力.算例结果表明,将冷藏集装箱与集装箱IPES进行协同优化调度可有效降低港口运行成本与碳排放量,日前-日内两阶段滚动优化调度模型提高了系统经济性与平稳运行的能力.

关键词: 集装箱港口, 综合能源系统, 冷藏集装箱, 岸电负荷, 两阶段优化调度

Abstract:

In view of the fact that the current integrated port energy system (IPES) considers neither the time scale difference of refrigerated containers in port scheduling nor the impact of renewable energy and load uncertainty, this paper proposes a day-ahead and intra-day two-stage rolling optimization scheduling method for a container IPES. In day-ahead scheduling, based on the temperature rise process of refrigerated containers, a port cold chain energy demand model is established, which is combined with the logistics process after the arrival of refrigerated containers. Then, the day-ahead output values of each unit in the system are obtained with the goal of the lowest operating cost. In intra-day scheduling, a two-layer rolling model is proposed to obtain the adjusted output of the port energy equipment, which considers the prediction error of shore power load and renewable energy as well as the different response speeds of cooling, heating and power. The calculation results show that the collaborative optimization scheduling of refrigerated containers and the container IPES can effectively reduce the port operation cost and carbon emissions. The two-stage day-ahead and intra-day rolling optimization scheduling can improve the economy and stability of the system.

Key words: container port, integrated energy system, refrigerated container, shore power load, two-stage optimization scheduling

中图分类号:

TM732

周思怡, 杨欢红, 黄文焘, 周泽, 焦伟, 杨镇瑜. 集装箱港口综合能源系统日前-日内两阶段滚动优化调度[J]. 上海交通大学学报, 2024, 58(9): 1357-1369.

ZHOU Siyi, YANG Huanhong, HUANG Wentao, ZHOU Ze, JIAO Wei, YANG Zhenyu. Two-Stage Day-Ahead and Intra-Day Rolling Optimization Scheduling of Container Integrated Port Energy System[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1357-1369.

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冷藏箱类型	A/m²	m/t	k₁/(W· m^-2·K^-1)	c_p/(kJ· kg^-1·K^-1)
20英尺	73.56	[18.0, 21.0]	0.4	[1.46, 4.06]
40英尺	135.26	[22.5, 26.5]	0.4	[1.46, 4.06]

设备	参数	数值
MT(2台)	出力上下限/kW	3000/0, 2200/0
	电效率	0.35, 0.8
	热效率	0.65, 0.35
FC	出力上下限/kW	2000/0
	电效率	0.65
GB	出力上下限/kW	3500/0
EB	出力上下限/kW	5000/0
	转热系数	0.93
EC	出力上下限/kW	400/0
	制冷系数	4
AR	出力上下限/kW	2200/0
	制冷系数	1.2
ES	出力上下限/kW	2000/-2000
HS	出力上下限/kW	1000/-1000
电网	出力上下限/kW	20000/0
冷藏箱(单台)	出力上下限/kW	0/5
	温度上下限/℃	-16/-20
船舶辅机	出力上下限/MW	0.5/5

场景类型	C_buy/元	C_d/元	C_emis/元	C_ship/元	C_re/元	F/元
场景1	232703.8731	5805.8324	9571.9754	166455.54	8978.5678	423515.7887
场景2	178394.5326	5927.0042	7366.9112	166455.54	10852.03	368996.0197

优化阶段	运行成本节约率	二氧化碳减排率	运行误差降低率
日前优化	30.44	29.93
日内滚动优化	32.65	31.76	12.05

调度策略	与外部电网交互的平均功率/kW	电网联络线交互功率波动/%	燃料电池功率波动/ %
日前调度	6296.95
不考虑日内储能调度策略	6166.83	2.1	14.3
考虑日内储能调度策略	6222.25	1.2	12.7

集装箱港口综合能源系统日前-日内两阶段滚动优化调度

Two-Stage Day-Ahead and Intra-Day Rolling Optimization Scheduling of Container Integrated Port Energy System

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