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Configuration optimization and benefit allocation model of multi-park integrated energy systems considering electric vehicle charging station to assist services of shared energy storage power station

环境经济学 储能 夏普里值 利润(经济学) 收入 可再生能源 充电站 投资回收期 电动汽车 工程类 运营管理 运输工程 业务 电气工程 功率(物理) 经济 博弈论 微观经济学 会计 物理 生产(经济) 量子力学
作者
Jianwei Gao,Fangjie Gao,Yu Yang,Haoyu Wu,Zhang Yi,Pengcheng Liang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:336: 130381-130381 被引量:42
标识
DOI:10.1016/j.jclepro.2022.130381
摘要

Energy storage (ES) has a significant impact on increasing the use of clean energy and lowering carbon emissions. But the high cost of ES limits its large-scale development. Hence, considering the various scenarios and electric vehicles' uncertainties, this paper develops a three-layer planning and scheduling model for the electric vehicle charging station (EVCS) to assist the shared energy storage power station (SESPS) in serving multi-park integrated energy systems. To assess the model's effectiveness, environmental factors are established. And a profit distribution model based on the Shapley value is established to increase the cooperation enthusiasm of each participant. The results show that: (1) The established model reduced the cost of the multi-park by 55.32% and increased the profit of the EVCS by 775.37%. Comparing to self-operation, the EVCS assisted the SESPS reduced capacity by 26.40% and increased profit by 120.31%. (2) With the participation of ES equipment, the utilization rate of new energy reached 100% and the carbon emission was reduced by 55.77%. (3) The improved Shapley value reduced the SESPS's payback period from 2.13 years to 1.12 years, allowing SESPS operators to work more effectively with multiple participants. Therefore, the planning, scheduling, and income distribution model proposed in this paper can improve clean energy utilization, reduce carbon emissions, and increase participants' willingness to cooperate on the basis of maximizing each participant's benefits. It is a reference for complex energy system planning, scheduling, and revenue distribution, as well as a way of encouraging clean energy use.
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