基于风光氢的港口能源供应链协同调度研究  

Research on Collaborative Scheduling of Port Energy Supply Chain Based on Wind,Solar,and Hydrogen

作　　者：黄花叶[1] 陈潇蒙 王长琼[1] HUANG Huaye;CHEN Xiaomeng;WANG Zhangqiong(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan Hubei 430063,China)

机构地区：[1]武汉理工大学交通与物流工程学院,湖北武汉430063

出　　处：《工业工程与管理》2024年第6期1-11,共11页Industrial Engineering and Management

基　　金：国家重点研发计划(2021YFB1600400)。

摘　　要：为了加强港口智能化与绿色化建设,提出一种基于风光氢的港口自动引导车(automated guided vehicle,AGV)与电氢能源耦合的港口能源供应链协同调度优化方法,充分挖掘港口能源系统与设备智能运行有效结合的经济性和低碳性。从分布式能源供应链的结构与特性出发,分析港口能源消纳与AGV设备协同管理策略,结合船舶在港状态对港内AGV能力需求的影响和能源转化出力的特点,分别建立AGV数量调度模型和能源转换模型。为解决可再生能源出力存在的波动性问题,引入鲁棒优化方法,以用能成本、储能成本及碳交易成本最小化为目标,结合可再生能源消纳率指标,建立基于不确定性的多能源产品供应链协同调度优化模型。以某港口为算例,分析结果表明该优化模型能够充分满足AGV的电氢负荷,降低能源与物流系统的运行成本和碳排放量,有效提高风光氢能的综合利用率。To enhance the intelligent and green construction of ports,a collaborative scheduling optimization method was proposed for the port energy supply chain based on the coupling of wind,solar,and hydrogen technologies with automated guided vehicles(AGV)and electric-hydrogen energy systems.The economic and low-carbon benefits of effectively integrating port energy systems with intelligent equipment operations were fully exploited.According to the structure and characteristics of the distributed energy supply chain,an analysis was conducted on the collaborative management strategy pertaining to port energy consumption and AGV equipment.The quantity scheduling model for AGV and the energy conversion model were developed independently,taking into account the impact of ship status on the port's AGV capacity requirement and the features of energy conversion outputs.To address the volatility of renewable energy output,a robust optimization method was introduced to minimize the total cost of energy consumption,storage,and carbon trading.An economic scheduling model incorporating indicators of renewable energy consumption for multiple energy products was established,taking into account uncertainty.Using a port as a case study,it has been confirmed that the optimization model is capable of fully satisfying the electric and hydrogen load requirements of AGV,while also reducing the operating costs and carbon emissions associated with energy and logistics systems.Additionally,the model significantly enhances the overall utilization efficiency of wind,solar,and hydrogen energy sources.

关 键 词：港口能源供应链 协同调度 AGV 鲁棒优化 

分 类 号：C934[经济管理—管理学]