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• W2890330471 abstract "As a core of energy internet, the energy router (ER) controlled by information flows can better realise the large scale utilisation of renewable energy. In order to build a cost-effective energy internet, a modified minimum spanning tree algorithm is proposed to optimise the cable layout among ERs, i.e. topology design. Considering the real-time and the asynchrony of power transmission in the above topology determined energy internet, an energy routing control method based on Dijkstra algorithm is put forward for source-and-load pairs to find a no-congestion minimum loss path. Besides, the loss allocation and congestion managements are realised at the same time. Finally, the simulation results prove the feasibility and effectiveness of proposed optimisation algorithms." @default.
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• W2890330471 date "2018-10-02" @default.
• W2890330471 modified "2023-10-17" @default.
• W2890330471 title "Graph theory based topology design and energy routing control of the energy internet" @default.
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• W2890330471 doi "https://doi.org/10.1049/iet-gtd.2018.6238" @default.
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