面向不确定可再生能源微电网的开放路径有容周期车辆路径问题求解

Waleed Shawky, Ahmed E. Azab, S. Kassem
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引用次数: 0

摘要

供应链和物流操作是高成本操作,需要计划以保持成本最低。供应链中最关键的阶段之一是分销阶段,包括将产品交付给零售商和/或客户。产品配送问题消耗了大量的时间和金钱,在许多情况下被建模为车辆路由问题(VRP)。在本文中,使用一组移动储能系统(MESSs)在特定的时间范围内为微电网提供电力交易的服务和供应,使用了众所周知的带时间窗口的Capacitated VRP (CVRPTW)开发的模型。微电网的电力交易服务过程周期性地在各电站重复进行,这就导致了周期性VRP (periodic VRP, PVRP)问题。在已开发的模型中,MESSs不一定会返回到其原始旅行起点(车站);因此,手头的问题也被认为是开放路线。为此,本文对带时间窗的开放路由可容周期VRP (OCPVRPTW)进行了研究。利用商业软件对模型进行编制和求解,得到所处理问题实例的精确解。对于未来的工作,由于问题的组合性质,蚁群优化将用于解决更大的问题实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving the Open Route Capacitated Periodic Vehicle Routing Problem With Time Windows to Service Microgrids Powered by Uncertain Renewable Generation
Supply Chain and logistics operations are high-cost operations that require planning to keep costs minimum. One of the most crucial supply chain stages is the distribution stage, including delivering products to retailers and/or customers. The problem of products’ distribution consumes considerable amounts of time and money and is modeled in many situations as a Vehicle Routing Problem (VRP). In this paper, servicing and provision of power transactions to an electric micro-grid using a fleet of mobile energy storage systems (MESSs) during a specific time horizon is targeted using the developed model for the well-known Capacitated VRP with Time Windows (CVRPTW). The process of servicing power transactions of an electric micro-grid is repeated for each station periodically, which results in a problem known as periodic VRP (PVRP). The MESSs in the developed model do not necessarily return back to their original trip starting point (depot); hence, the problem at hand is considered as Open-Route as well. Therefore, the Open Route Capacitated Periodic VRP with Time Windows (OCPVRPTW) is studied in this paper. The model is formulated and solved using commercial software to obtain exact solutions to the tackled problem instances. For future work and due to the combinatorial nature of the problem, Ant Colony Optimization will be used to solve larger instances of the problem.
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