Graph theory based topology design and energy routing control of the energy internet
Hui Guo, Fei “Fred” Wang, Geoff James, Lijun Zhang, Jian Luo · IET Generation Transmission & Distribution · 2018
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.