基于多代理技术的电动出租车运营实时仿真系统及应用

JING Zhaoxia

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基于多代理技术的电动出租车运营实时仿真系统及应用

更新时间：2025-08-13

- 基于多代理技术的电动出租车运营实时仿真系统及应用
- Automation of Electric Power Systems Vol. 40, Issue 7, Pages: 83-89(2016)
- 作者机构：
  
  华南理工大学电力学院,广东省,广州市,510640
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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JING Zhaoxia. [J]. Automation of electric power systems, 2016, 40(7): 83-89.
DOI：

JING Zhaoxia. [J]. Automation of electric power systems, 2016, 40(7): 83-89. DOI：

摘要

电动出租车的示范运营对于电动汽车的推广具有引导意义，然而大规模电动出租车的接入将对电网运营和规划造成很大影响。为了研究区域内电动出租车运营的最优管理策略，引入多代理技术，采用了Q-Learning算法描述电动出租车的决策行为，利用JADE仿真工具建立了基于多代理技术的电动出租车运营实时仿真系统。通过实际应用分析表明，该系统通过主体之间以及主体与环境之间的交互，能有效地模拟电动出租车的动态行为及运营策略，为研究电动汽车规划、运营等问题提供参考。

Abstract

The demonstration operation of electric taxi (ET) provides useful guidance to the development of electric vehicles. However

large-scale ET grid connection will cause significant disturbance to the power grid operation and planning. This paper presents a multi-agent-based real-time simulation system of ET operation on JADE platform to study the optimal management strategy of regional ET operation. The decision-making behavior of ET by means of Q-Learning algorithm is described. The results show that the simulation reflects the dynamic behavior and operation strategy of the ET through the interaction among agents such as ET

charging utility and transportation network

which provides useful references for the planning and operation of electric vehicles. This work is supported by National Natural Science Foundation of China (No. 51377058).

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