计及客户满意度的电动汽车多代理充电定价策略

PIAO Longjian

您当前的位置：

首页 >

文章列表页 >

计及客户满意度的电动汽车多代理充电定价策略

更新时间：2025-08-13

- 计及客户满意度的电动汽车多代理充电定价策略
- Automation of Electric Power Systems Vol. 39, Issue 22, Pages: 68-75(2015)
- 作者机构：
  
  上海交通大学电子信息与电气工程学院,上海市,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
PIAO Longjian. [J]. Automation of electric power systems, 2015, 39(22): 68-75.
DOI：

PIAO Longjian. [J]. Automation of electric power systems, 2015, 39(22): 68-75. DOI：

摘要

发展电动汽车已成为当今社会的迫切需求

其大规模充电将对电力系统造成深远影响。由于大量车主的充电行为具有较强的随机性与自主性

因此

电动汽车的集中控制往往难以实现有效调度。文中通过分析车主的充电偏好

建立了客户满意度(CSD)模型;在此基础上

提出了基于多代理的充电站协调定价策略

实现了基于价格信号的电动汽车分布式控制。接着

利用Java多代理开发框架(JADE)搭建了协调充电模型

完成了电动汽车、充电站、电网代理的行为与通信功能。最后

由仿真结果验证了所提策略下电动汽车的电网友好型充电机理

并分析了电网约束与车主偏好的影响。

Abstract

With the large-scale charging of increasing electric vehicles

which is of great randomness and autonomy

the far-reaching impacts on power grids can hardly be handled using centralized control. In order to solve this problem

the customer satisfaction degree is modeled as an index of vehicle user charging preferences

based on which a coordinated pricing strategy for charging stations is proposed in the multi-agent framework to implement the price-based decentralized control of electric vehicles. Furthermore

the proposed strategy is modeled on a Java multi-agent development framework (JADE) platform

which is capable of realizing the behavior and communication among electric vehicles

charging stations and smart grid agents. In the end

the grid-friendly charging behavior of electric vehicles using the proposed strategy is proved by simulation results

while the impact of vehicle user preferences and grid constraints is analyzed in detail. This work is supported by National Natural Science Foundation of China (No. 51577115) and National Key Technologies R&D Program (No. 2013BAA1B04).

关键词

Keywords

references

Views

2583

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Medium- and Long-term Charging Load Forecasting Method for Electric Vehicles Considering Battery Aging

Coordination of Urban Integrated Electric Power and Traffic Network from Perspective of System Interconnection

基于TOPSIS方法的居民区电动汽车有序充电策略

典型家用大功率负载精细化建模及能量管理策略

基于电动汽车无功补偿的配电网电压调控策略

Related Author

DONG Xiaohong

KONG Huazhi

DING Fei

WANG Mingshen

YU Xiaodan

MU Yunfei

Tianyu YANG

Qinglai GUO

Related Institution

Key Laboratory of Ministry of Education on Smart Power Grids (Tianjin University)

Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd.

State Key Laboratory of Reliability and Intelligence of Electrical Equipment (Hebei University of Technology)

State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University

Department of Electrical Engineering, Tsinghua University

⁰