Collaborative placement and sharing of storage resources in the Smart Grid

Lazaros Gkatzikis, G. Iosifidis, I. Koutsopoulos, L. Tassiulas
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引用次数: 24

Abstract

The development of low-cost renewable energy generators transforms households into electricity prosumers. Given that generation from renewable sources is highly volatile and does not perfectly match the daily demand pattern of households, electricity storage has been proposed for balancing energy generation and demand. In this work, we suggest that, due to the high cost of Energy Storage Systems (ESS), prosumers should deploy and share ESSs in a collaborative fashion. This will allow them to leverage the temporal diversity in their energy generation and consumption patterns, so as to reduce the cost paid to the main grid and even to cover the deployment cost of ESSs. We address the question “How much storage capacity should be placed and in which locations in the distribution network?”. In order to answer this question, we need also to consider how much each prosumer should charge and discharge each deployed ESS. The solution of this joint ESS placement-dimensioning and utilization problem depends on the energy distribution losses, expected electricity prices, and the diversity of prosumers' profiles. Accordingly, we employ the Nash bargaining framework to determine how this cost should be shared in a fair, and hence self-enforcing, fashion among prosumers. Based on realistic demand and generation traces, we show that collaborative prosumption of energy through properly placed ESS can lead to significant savings of up to 50% compared to a non-cooperating setting.
智能电网中存储资源的协作放置和共享
低成本可再生能源发电机的发展将家庭转变为电力消费。考虑到可再生能源发电的波动性很大,不能完全匹配家庭的日常需求模式,人们提出了电力储存来平衡能源生产和需求。在这项工作中,我们建议,由于储能系统(ESS)的高成本,产消者应该以协作的方式部署和共享ESS。这将使他们能够利用其能源生产和消费模式的时间多样性,从而减少支付给主电网的成本,甚至可以支付ess的部署成本。我们解决的问题是“应该放置多少存储容量以及在分销网络中的哪些位置?”为了回答这个问题,我们还需要考虑每个产消者应该为每个部署的ESS充电和放电多少。这一联合ESS布局维度和利用问题的解决取决于能源分配损失、预期电价和产消者特征的多样性。因此,我们采用纳什议价框架来确定如何在生产消费者之间公平地分担这一成本,从而实现自我执行。根据实际需求和发电轨迹,我们表明,与不合作的设置相比,通过适当放置ESS进行能源协同消耗可以节省高达50%的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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