基于负效应极小化目标的大城市交通能源供应网络系统优化与管理

项目名称： 基于负效应极小化目标的大城市交通能源供应网络系统优化与管理

项目编号： No.71471024

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 许茂增

作者单位： 重庆交通大学

项目金额： 60万元

中文摘要： 车辆加油加气和充电设施构成交通能源供应系统（TESNS）。TESNS的负效应是指发挥设计功能过程中对外产生的不期望后果，包括排队造成的时间延误、诱发主线交通拥堵及增加能耗与碳排放等。导致负效应的原因有系统供给能力不足、站址选择不当、站-车辆缺乏互动信息、供应站竞争性经营等。考虑到供给能力与选址属网络系统设计问题，本项目研究定位在既定系统运行中的负效应极小化与管理。研究聚焦于揭示大规模网络系统站间非均衡排队规律、构建系统整体负效应评估方法以及负效应极小化的TESNS决策与管理。具体包括：大规模分布式动态随机需求下供应站排队规律及建模，大规模TESNS整体负效应动态评估方法，基于站-车-路状态信息和负效应极小化目标的大规模TESNS动态决策智能优化，及负效应极小化目标下的TESNS多主体合作机制，由此建立极小负效应的TESNS理论体系框架，为大城市智能交通系统升级与规范供应站经营行为提供依据。

中文关键词： 大城市；能源供应网络系统；负效应；动态评估；智能优化

英文摘要： Vehicle refueling or recharging infrastructures compose Traffic Energy Supply Network System (TESNS).Negative effects of TESNS refer to produce undesirable consequences in the process of design features, which can cause the congestions in main road, increase energy consumptions and carbon emissions, and affect the time delays. The reasons of negative effects contain inadequate supply capacity of the system, improper location selection, lack of utilizing of real-time information between infrastuctures and vehicles and the competing operations of supply stations. Taking into account the ability of supply and site selection belong to the problem of network system design, the research location of the project manage and minimize the negative effects in the given system.The research focus on revealing the rules of unequilibrium queuing in large-scale network systems between stations, building assessment methods to overall negative effects and TESNS decision making and management of minimizing negative effects in the system. Therefore, we focused on four respects: the law of supply station queuing and modeling based on large scale distributed dynamic ramdon demand, dynamic assessment methods of the large-scale TESNS' negative effects, danamic intelligent decision optimization of the mass TESNS based the goal of station-vehicle-road status information and minimize the negative effects, cooperation mechanism with members in the intelligent TESNS. Thereby, the study can lay the theoretical foundation for further application of TESNS, and provide the basis for upgrading the intelligent transport system and normalizing the behavior of supply stations operation in large citys.

英文关键词： Large City;Energy Supply Network System;minimal Negative Efffect;Dynamic Evaluation;Intelligence Optimization