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首页> 外文会议>2016 First International Conference on Sustainable Green Buildings and Communities >Optimal Electric Vehicle charging schedule for demand side management
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Optimal Electric Vehicle charging schedule for demand side management

机译：需求方管理的最佳电动汽车充电时间表

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摘要

Demand side management (DSM) aims at reduction of the peak demand thereby flattening the load profile by allowing customers to actively participate in the overall operation of the smart grid. This leads to significant reduction in total generation cost and emission levels. While introduction of Electric Vehicles (EV) in the grid can be looked upon as an additional load thus arising the need for increased generation, the price elasticity of EV load can serve as an opportunity to implement DSM. A V2G strategy is proposed to enable the reshaping of load profile by means of peak shaving and valley filling. By harnessing the energy storage of EVs batteries, an objective function is proposed for V2G control. Substantial savings and reduction in emissions along with reduction in peak demand, on implementation of this strategy, is evident from the simulation results. Optimal penetration level of EVs, based on the environmental consideration is also discussed.
机译：需求方管理（DSM）旨在降低高峰需求，从而通过允许客户积极参与智能电网的整体运营来使负荷曲线变得平坦。这导致总的发电成本和排放水平大大降低。虽然可以将电动汽车（EV）引入电网作为一种额外的负载，从而产生了增加发电量的需求，但EV负载的价格弹性可以为实施DSM提供机会。提出了一种V2G策略，以通过削峰和填谷来重塑负载曲线。通过利用电动汽车电池的能量存储，提出了用于V2G控制的目标函数。从仿真结果可以明显看出，在实施该策略时，可实现大量节省和减排以及峰值需求的减少。还讨论了基于环境因素的电动汽车的最佳渗透水平。

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