In this article, a hierarchical online distributed algorithm (HODA) is developed to achieve optimal energy management in interconnected microgrids (IMG). The energy management objectives include maximizing users' utility, optimizing the output power of controllable generators, and keeping the system operating in an economic manner. We formulate the problem as an online least absolute shrinkage and selection operator (LASSO) problem, considering both reactive power and system operation characteristics. We then employ averaging fixed horizon control (AFHC) to solve the formulated problem under some mild assumptions on the uncertainties in renewable power generation and load demand. The alternating direction method of multipliers (ADMM) is adopted to decouple the coupled constraints. The proposed online algorithm is asymptotically optimal, since its solution converges to the offline optimal solution. The performance of the proposed algorithm is validated using data traces obtained from a real-world IMG system.

中文翻译：

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互联微电网中的分布式在线能源管理


在本文中，开发了一种分层在线分布式算法（HODA）来实现互连微电网（IMG）中的最优能源管理。能源管理的目标包括最大化用户的效用、优化可控发电机的输出功率以及保持系统以经济的方式运行。我们将该问题表述为在线最小绝对收缩和选择算子（LASSO）问题，同时考虑无功功率和系统运行特性。然后，我们在对可再生能源发电和负载需求的不确定性进行一些温和假设的情况下，采用平均固定水平控制（AFHC）来解决所提出的问题。采用乘子交替方向法（ADMM）来解耦耦合约束。所提出的在线算法是渐近最优的，因为它的解收敛于离线最优解。使用从真实世界的 IMG 系统获得的数据跟踪来验证所提出算法的性能。