Performance analysis of an AIMD based EV charging algorithm over a wireless network

Performance analysis of an AIMD based EV charging algorithm over a wireless network
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基于 AIMD 的无线网络电动汽车充电算法的性能分析

DOI:
10.1109/aupec.2013.6725362
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发表时间:
2013
期刊:
2013 Australasian Universities Power Engineering Conference (AUPEC)
影响因子:
--
通讯作者:
J. Khan
J. Khan
中科院分区:
--
文献类型:
--
作者:
S. Studli;Reduan H. Khan;R. Middleton;J. Khan

文献摘要

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本文研究了[1]、[2]中提出的分布式电动汽车负载管理方案的性能,该方案集成在基于WiMAX技术的实际广域无线通信网络中。利用OPNET中开发的集成联合仿真模型,本文联合研究了电动汽车充电方案和通信网络在不同电动汽车数量和功率限制下的性能。基于这项研究,本文提出了两个简单的适应所提出的计划,以提高其可控性的总需求和可扩展性的EV人口和功率限制。仿真结果表明,所提出的自适应可以支持大规模的电动汽车充电在一个固定的通信开销在一个可扩展的和有效的方式。
This paper investigates the performance of a distributed EV load management scheme, suggested in [1], [2], integrated in a realistic wide area wireless communications network based on WiMAX technology. Using an integrated co-simulation model developed in OPNET, the paper jointly examines the performance of the EV charging scheme and the communications network under varying EV population and power limitation. Based on the study, the paper proposes two simple adaptations to the proposed scheme in order to improve its controllability over the aggregated demand and scalability regarding both the EV population and the power limit. Simulation results indicate that the proposed adaptation can support large-scale EV charging at a fixed communications overhead in a scalable and efficient manner.