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

doi:10.16183/j.cnki.jsjtu.2023.016

Abstract

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

CLC Number:

TM732

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