Harnessing demand flexibility to match renewable production using localized policies
Harnessing demand flexibility to match renewable production using localized policies
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利用本地化政策，利用需求灵活性来匹配可再生能源生产
DOI：
10.1109/allerton.2012.6483341
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
R. Baldick
中科院分区：
文献类型：
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作者：
Mahdi Kefayati;R. Baldick
大多数可再生能源的间歇性以及当前电网缺乏足够的存储意味着可靠地整合更多的可再生能源将是一项具有挑战性的任务。另一方面，在目前的环境下，需求在很大程度上被认为是不可控制的。然而，有强有力的证据表明，相当一部分当前和未来的需求，如插电式电动汽车（PEV）负载，是灵活的。也就是说，传递给它的瞬时功率不需要绑定到特定的轨迹。在这项工作中，我们专注于利用需求灵活性作为实现更多可再生能源整合的关键，特别是本地化政策，即仅使用负载偏好而不依赖于电网信息的政策。我们从PEV负载潜力的数据驱动分析开始。然后，我们证明，传统的收费政策遭受高峰值平均比的总需求和缺乏相关性与风力发电。最后，我们介绍了一个本地化的政策，称为平均率（AR）的政策，并表明，它减少了PEV负载的不良影响，并增加其相关性与风力发电的平均意义。我们的工作证明了灵活的负载在利用可再生能源的潜力，通过影响负载模式和减轻可再生能源的不稳定性，仅用当地的信息。此外，我们建议的收费政策亦可以很容易地在现有的公共汽车上实施。
Intermittency of most renewable sources and lack of sufficient storage in the current power grid means that reliable integration of significantly more renewables will be a challenging task. Demand, on the other side, has been largely regarded as non-controllable in the current setting. However, there is strong evidence that a considerable portion of the current and future demand, such as plug-in electric vehicle (PEV) load, is flexible. That is, the instantaneous power delivered to it needs not to be bound to a specific trajectory. In this work we focus on harnessing demand flexibility as a key to enabling more renewable integration and particularly on localized policies, i.e. the ones that only use the load preferences and do not depend on the grid information. We start with a data driven analysis of the potential of PEV load. We then demonstrate that conventional charging policies suffer from high peak-to-average ratios of the aggregate demand and lack of correlation with wind generation. Finally we introduce a localized policy called the Average Rate (AR) policy and show that it reduces the undesired effects of PEV load and increases its correlation with wind generation in average sense. Our work demonstrates the potential of flexible loads in harnessing renewables by affecting the load patterns and mitigating the intermittency of renewables with merely local information. Moreover, our proposed charging policy can be implemented easily in the current PEVs.