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Intelligent electric vehicle heuristic for Energy Resource Management using Simulated Annealing

机译:利用模拟退火的智能电动车启发式能源管理

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The smart grid concept appears as a suitable solution to guarantee the power system operation in the new electricity paradigm with electricity markets and integration of large amounts of Distributed Energy Resources (DERs). Virtual Power Player (VPP) will have a significant importance in the management of a smart grid. In the context of this new paradigm, Electric Vehicles (EVs) rise as a good available resource to be used as a DER by a VPP. This paper presents the application of the Simulated Annealing (SA) technique to solve the Energy Resource Management (ERM) of a VPP. It is also presented a new heuristic approach to intelligently handle the charge and discharge of the EVs. This heuristic process is incorporated in the SA technique, in order to improve the results of the ERM. The case study shows the results of the ERM for a 33-bus distribution network with three different EVs penetration levels, i. e., with 1000, 2000 and 3000 EVs. The results of the proposed adaptation of the SA technique are compared with a previous SA version and a deterministic technique.
机译:智能电网概念显示为适当的解决方案,以保证新电力范例的电力系统运行,电力市场和大量分布能源(DERS)的集成。虚拟动力播放器(VPP)在管理智能电网的管理方面将具有重要意义。在这种新的范例的背景下,电动车辆(EVS)作为一个良好的可用资源作为VPP用作DAN的良好资源。本文介绍了模拟退火(SA)技术的应用,解决了VPP的能量资源管理(ERM)。它还介绍了一种新的启发式方法,可以智能地处理EV的充电和放电。这种启发式过程在SA技术中并入,以改善ERM的结果。案例研究表明,33母线配送网络的ERM结果,具有三种不同的EVS渗透水平,I。即,1000,2000和3000eV。将所提出的SA技术改编的结果与先前的SA版本和确定性技术进行比较。

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