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Pareto-optimal energy sharing between battery-equipped renewable generators
arXiv - CS - Systems and Control Pub Date : 2020-05-19 , DOI: arxiv-2005.09222
Vivek Deulkar and Jayakrishnan Nair

The inherent intermittency of renewable sources like wind and solar has resulted in a bundling of renewable generators with storage resources (batteries) for increased reliability. In this paper, we consider the problem of energy sharing between two such bundles, each associated with their own demand profiles. The demand profiles might, for example, correspond to commitments made by the bundle to the grid. With each bundle seeking to minimize its loss of load rate, we explore the possibility that one bundle can supply energy to the other from its battery at times of deficit, in return for a reciprocal supply from the other when it faces a deficit itself. We show that there always exist \emph{mutually beneficial} energy sharing arrangements between the two bundles. Moreover, we show that Pareto-optimal arrangements involve at least one bundle transferring energy to the other at the maximum feasible rate at times of deficit. We illustrate the potential gains from such dynamic energy sharing via an extensive case study.

中文翻译:

配备电池的可再生发电机之间的帕累托最优能量共享

风能和太阳能等可再生能源固有的间歇性导致将可再生发电机与存储资源(电池)捆绑在一起,以提高可靠性。在本文中,我们考虑了两个这样的束之间的能量共享问题,每个束都与它们自己的需求概况相关联。例如,需求概况可能对应于捆绑对电网的承诺。随着每个捆绑包都试图将其负载率损失降至最低,我们探索了一个捆绑包在不足时可以从其电池向另一个捆绑包提供能量的可能性,以换取另一个捆绑包在其自身面临不足时的互惠供应。我们表明,两个束之间总是存在 \emph {互利} 能量共享安排。而且,我们表明,帕累托最优安排涉及至少一个束在赤字时以最大可行速率将能量转移到另一个。我们通过广泛的案例研究说明了这种动态能量共享的潜在收益。
更新日期:2020-05-20
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