Distributed convex optimization of energy flows: The two-microgrid case
Distributed convex optimization of energy flows: The two-microgrid case
复制标题
能量流的分布式凸优化：两个微电网的情况
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
J. Matamoros
中科院分区：
文献类型：
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作者：
D. Gregoratti;J. Matamoros
在本文中，一个分布式凸优化框架的开发，以管理孤岛登陆微电网之间的能量流。更具体地说，这个问题由两个孤岛微电网组成，它们具有相互出售能量的额外能力。为了避免一个中央控制器，以减少通信的要求，提出了一种基于子梯度的成本最小化算法，收敛到集中式的解决方案，在一个实际的迭代次数。此外，这种方法允许一个非常直观的经济学解释，解释了“供需模型”和“市场出清”方面的算法迭代。最后，数值结果表明，微电网合作带来了好处，在全球（系统级）和本地（微电网级）。
In this paper, a distributed convex optimization framework is developed to manage energy flows between is-landed microgrids. More specifically, the problem consists of two islanded microgrids with the additional capability of selling energy to one another. In order to avoid a central controller and to reduce communications requirements, a subgradient-based cost minimization algorithm is proposed that converges to the centralized solution in a practical number of iterations. Furthermore, this approach allows for a very intuitive, economics interpretation that explains the algorithm iterations in terms of “supply-demand model” and “market clearing”. Finally, numerical results show that microgrid cooperation brings a benefit, both globally (system level) and locally (microgrid level).