Application of cloud computing in power routing for clusters of microgrids using oblivious network routing algorithm

In this paper, we propose a comprehensive co-simulation platform for the clusters of microgrids. Our proposed real-time platform considers both physical and communication layers, which can be simulated via real-time digital power system simulator (RTDS) and OMNeT++. We also propose a novel oblivious power routing scheme to prevent congestion and minimize network loss. To this end, we firstly introduce the algorithms referred to as oblivious routing-based economic dispatch. Oblivious network routing, which is applicable to large-scale networks with arbitrary topology, such as power grids, communication networks, and world-wide-web, is a metaheuristic solution to approximate network optimization problems under oblivious constraints utilizing advanced data structures and hypergraphs. Our oblivious power routing algorithms are also well suited for finding the optimal power flows through a cluster of microgrid while preventing congestion as well as minimizing the power loss. Then, we present a two-layer simulation platform which considers both communication layer and physical layer of the microgrids' cluster. In order to improve the security of communication network, we perform the computations regarding the oblivious power routing via a cloud-based network. The proposed framework can be used for further studies that deal with the real-time simulation of the clusters of microgrids. In order to validate the effectiveness of the proposed framework, we implement our proposed oblivious routing scheme on a cluster of 13 microgrids.