基于电动汽车ADR方法的风电场输出曲线调节基础

Xueliang Huang, Zhechen Huang, H. Qiang, Yi Sun
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引用次数: 0

摘要

为了减少碳排放,可再生资源和电动汽车(ev)得到推广。然而,电动汽车将增加对电力的需求和电网的负荷,而可再生资源,特别是风力发电依赖天气,无法提供稳定的电力供应。在本文中,我们提出了一种未来的综合资源规划(IRP)基础设施,其中电动汽车是需求侧资源,可再生能源是供给侧资源。期望基础设施能够实时控制需求资源,而不是复杂的算法。该基础架构通过简化的算法,为中间过程收集和传输数据。为了说明基础设施的影响,我们建立了一个模型,并利用从风电场收集的数据模拟了调节结果。风电输出由基础设施中的ami进行采样。为了减少时间延迟,需求侧资源直接对电力变化作出反应,而不需要传统的电价环节。计算了基于方差和峰谷差的无因次量,以评价调控效果。
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Regulation Infrastructure of Wind Farm Power Output Curve Based on ADR Methods of Electrical Vehicles
To reduce the carbon emission, the renewable resources and electrical vehicles (EVs) are promoted. However, the EVs will increase demand for electricity and load of grid, and the renewable resources, especially wind power rely on the weather and cannot provide stable power supply. In this article, we propose a future infrastructure for integrated resource planning(IRP) where EVs are demand side resources and renewable power is supply side resource. Instead of complex algorithms, the infrastructure is expected to do real-time control of the demand resources. With simplified algorithms, the infrastructure gather and transmit data for intermediate process. To illustrate the effects of the infrastructure, we established a model and simulated the regulation results with the data gather from a wind farm. The wind power output was sampled by AMIs in the infrastructure. To reduce the time delay, the demand-side resources reacted to the power variation directly without the traditional link of electricity prices. The dimensionless quantities which were based on variance and peak- valley difference were computed for regulation results assessments.
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