电动汽车充电系统的负荷调度策略

Zheng Wang, Xiao Wu, Hongbin Zhao
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引用次数: 0

摘要

电动汽车智能充电系统是电网信息物理系统的新应用,对安全性和可靠性有更高的要求。在系统运行过程中,在某些扰动条件下,由于充电网负荷过大,会带来一系列的安全问题。分析了电力系统的负荷安全问题,提出了一种基于预测的负荷调度策略,通过基于预测负荷调度充电桩,提高系统的安全性。此外,设计了充电桩管理系统的体系结构,实现了充电桩的调度和管理。同时,在此基础上进行了预测调度策略的仿真实验,验证了该策略的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Load Scheduling Strategy for Electric Vehicles Charging System
Intelligent charging system for electric vehicles is a new application of power grid cyber-physical system which requires higher safety and reliability. During the execution of the system, it will bring a range of safety issues because of the heavy load of charging grid in some disturbance conditions. This paper analyzes the load safety issues and presents a load scheduling strategy based on one prediction that improves the safety of the system by dispatching charging piles based on the predictive load. In addition, the authors designed the architecture of the charging pile management system to achieve scheduling and management. Meanwhile, simulation experiment about prediction and scheduling strategy is done on the basis of the above and its feasibility has been proved.
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