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Managing Vehicle-To-Grid Mobile Energy Network as Demand Response in Power Systems

机译:管理车辆到电网移动能源网络作为电力系统需求响应

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Due to rapid electrification in the transportation sector, electric vehicles (EVs) are going to play indispensable role in the modern power systems. Managing EVs with vehicle-to-grid (V2G) scheme can help in softening electricity demand and making grid more reliable and economic. In this paper, plugged in EVs are managed to facilitate demand response (DR). The modeling of V2G network is performed based on the dynamical complex network methodology in which EVs are moving among different districts. It is clearly seen from the simulations that incoming EVs affect the DR stability as it carries new energy and storage facility into a district. The robustness of the technique is studied by varying the parameters such as rate of convergence and willingness to pay. Moreover, to further reduce the electricity price for the prosumers, peak clipping objective is introduced in the DR program. The main intension of the peak clipping objective is to control the charging/discharging of EVs during peak hours based on the available state-of-charge (SOC) of the fleets. Proposed DR program effectively reduces the electricity price during peak load hours and help EV owners maximize their profits.
机译:由于运输领域的快速电气化,电动汽车(EVS)将在现代电力系统中发挥必不可少的作用。使用车辆到网格(V2G)方案管理EV可以帮助软化电力需求并使电网更加可靠和经济。在本文中,插入EVS的内容,以促进需求响应(DR)。 V2G网络的建模是基于动态复杂网络方法执行,其中EVS在不同的地区移动。从模拟中清楚地看出,进入的EVS影响DR稳定性,因为它将新的能量和存储设施带入区域。通过改变收敛速率和支付愿意的参数来研究该技术的稳健性。此外,为了进一步降低制度的电价,在DR程序中引入了峰值剪辑目标。峰值剪辑目的的主要内涵是基于车队的可用性充电状态(SoC)控制高峰时段的电荷/放电。拟议的DR计划有效降低了高峰负载时间内的电力价格,并帮助EV业主最大限度地提高其利润。

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