A Novel Cloud-Based Platform for Implementation of Oblivious Power Routing for Clusters of Microgrids

A Novel Cloud-Based Platform for Implementation of Oblivious Power Routing for Clusters of Microgrids
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DOI:
10.1109/access.2016.2646418
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发表时间:
2017
期刊:
影响因子:
3.9
通讯作者:
Kianoosh G. Boroojeni;M. H. Amini;A. Nejadpak;T. Dragičević;S. Iyengar;F. Blaabjerg
Kianoosh G. Boroojeni;M. H. Amini;A. Nejadpak;T. Dragičević;S. Iyengar;F. Blaabjerg
中科院分区:
计算机科学3区
文献类型:
--
作者:
Kianoosh G. Boroojeni;M. H. Amini;A. Nejadpak;T. Dragičević;S. Iyengar;F. Blaabjerg

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为了提高微电网的灵活性和安全性,对微电网集群连接性的需求日益增加。本文提出了一种用于微电网集群的新型电力路由算法的实现、仿真和评估框架。假设的集群是由多个直流微电网通过多端直流系统在网状网络中连接在一起组成的。在这种结构中,能量从发电能力过剩的微电网重新定向到电力短缺的微电网,以供应其内部负载。本文的关键贡献在于,集群中的每个微电网都不知道集群的当前状态和其他流。该方法既解决了系统的最优潮流问题,又控制了拥塞,减少了电力损耗。所提出的方法适用于径向和非径向网络,而不考虑网络拓扑结构、规模和集群中涉及的微电网数量。因此,它也非常适合于未来微电网集群中出现的大规模最优电力路由问题。通过MATLAB仿真验证了该算法的有效性。我们还提出了一个全面的基于云的平台,用于在OPAL-RT实时数字仿真系统上进一步实现所提出的算法。微电网与云环境之间的通信路径可以用omnet++进行仿真。
There has been an increasing demand for connectivity of the clusters of microgrids to increase their flexibility and security. This paper presents a framework for implementation, simulation, and evaluation of a novel power routing algorithm for clusters of microgrids. The presumed cluster is composed of multiple direct current (dc) microgrids connected together through multi-terminal dc system in a meshed network. In this structure, the energy is redirected from the microgrid with excessive power generation capacity to the microgrid which has power shortage to supply its internal loads. The key contribution of this paper is that each microgrid in the cluster is unaware of the current state and other flows of the cluster. In this approach, the optimal power flow problem is solved for the system while managing congestion and mitigating power losses. The proposed methodology works for both radial and non-radial networks regardless of the network topology, scale, and number of microgrids involved in the cluster. Therefore, it is also well suited for large-scale optimal power routing problems that will emerge in the future clusters of microgrids. The effectiveness of the proposed algorithm is verified by MATLAB simulation. We also present a comprehensive cloud-based platform for further implementation of the proposed algorithm on the OPAL-RT real-time digital simulation system. The communication paths between the microgrids and the cloud environment can be emulated by OMNeT++.