物流园区及共享储能的电制冷需求响应与多系统协同定价优化方法

doi:10.16183/j.cnki.jsjtu.2024.439

摘要/Abstract

摘要：

随着物流行业的快速发展,配备电动重卡和冷链装置的物流园区负荷需求急剧增长,导致园区整体运行成本上升.为此,引入共享储能装置作为能源交易的第三方,提出一种基于博弈定价激励机制的多综合能源系统调度优化方法.针对物流园区的高负荷需求与常规综合能源系统在可再生能源发电特征上的互补性,求解所有参与方在追求各自目标最优时的交互策略.通过分析园区电动重卡和冷藏装置的负荷特征,构建负荷转移模型,并采用灵活充放电的储能容量共享租赁模式,建立包含共享储能的物流园区系统与常规综合能源系统的交互模型,从而构建基于包含主从博弈的动态电价分析框架,探讨多系统间的交易互动.结果表明:该多系统交互模型不仅能满足物流园区电、冷负荷的能量调度需求,还能减少弃风弃光现象,实现多能源系统总成本最低.与传统模型相比,系统总成本下降了5.9%.

关键词: 物流园区, 综合能源系统, 共享储能, 需求响应, 主从博弈

Abstract:

With the rapid development of the logistics industry, the load demand in logistics parks equipped with electric heavy-duty trucks and cold chain facilities has increased sharply, leading to higher overall operating costs. Therefore, a shared energy storage system is introduced as a third-party energy transaction platform, and a scheduling optimization method for multi-integrated energy systems (IESs) based on a game-theoretic pricing incentive mechanism is proposed. For the complementary characteristics between the high load demand of logistics parks and the renewable energy generation features of conventional integrated energy systems, the interaction strategies of all participants are pursued while their respective optimal objectives are addressed. A load-shifting model is constructed by analyzing the load characteristics of electric heavy-duty trucks and cold chain facilities. A flexible charging and discharging capacity-sharing rental model for energy storage is adopted, and an interaction model between the logistics park system with shared energy storage and conventional integrated energy systems is developed. Then, a dynamic pricing analysis based on a Stackelberg game is established to explore energy transaction interactions among multiple systems. The results show that the multi-system interaction model can meet the energy scheduling demands of electricity and cooling loads in logistics parks but also reduce wind and solar energy curtailment, and ensure the lowest cost across multiple energy systems. Compared with traditional models, the total cost of system achieves a 5.9% reduction in overall system costs.

Key words: logistics park, integrated energy system (IES), shared energy storage, demand response, Stackelberg game

中图分类号:

TM732

徐吉米, 吴雨杭, 黎灿兵, 蒋文杰, 黄子宇, 程语. 物流园区及共享储能的电制冷需求响应与多系统协同定价优化方法[J]. 上海交通大学学报, 2026, 60(4): 563-573.

XU Jimi, WU Yuhang, LI Canbing, JIANG Wenjie, HUANG Ziyu, CHENG Yu. Electric Cooling Demand Response and Multi-system Collaborative Pricing Optimization Method in Logistics Parks and Shared Energy Storage[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 563-573.

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场景	系统	运行成本/元	SES 收益/元	需求响应补偿成本/元	交互成本/元
1	LIES	15 268.5	1 199.9	0	0
	CIES1	5 270.4	1 203.9	0	0
	CIES2	4 900.8	1 186.8	0	0
2	LIES	12 038.9	638.2	1 011.2	0
	CIES1	4 614.2	636.6	339.8	0
	CIES2	4 104.4	614.3	160.6	0
3	LIES	11 393.4	626.2	1 761.7	2 444.7
	CIES1	2 689.4	650.3	321.3	-998.7
	CIES2	2 650.5	634.8	295.5	-1 446.0
4	LIES	10 578.2	903.1	1 661.2	2 200.9
	CIES1	2 545.0	522.1	393.7	-1 040.3
	CIES2	2 616.8	672.5	374.3	-1 180.8

场景	系统	租赁成本/ 元	额定租赁容量/(kW·h)	可再生能源消纳率/%	储能利用率/%
1	LIES	2 926.0	4 391.0	100.0	94.9
	CIES1	2 758.6	3 936.0	87.2	94.9
	CIES2	3 519.1	6 000.0	93.5	94.9
2	LIES	1 452.7	1 971.0	100.0	95.0
	CIES1	1 532.1	2 186.0	82.7	95.0
	CIES2	2 522.0	4 873.0	92.8	95.0
3	LIES	2 636.4	5 145.0	100.0	95.0
	CIES1	1 562.4	2 230.0	98.1	95.0
	CIES2	2 256.2	4 113.0	98.6	95.0
4	LIES	2 619.8	4 366.0	100.0	122.4
	CIES1	1 595.4	2 658.0	100.0	95.0
	CIES2	2 000.1	3 333.0	100.0	95.0