Open AccessGraph theory based topology design and energy routing control of the energy internet
Author(s) -
Guo Hui,
Wang Fei,
James Geoff,
Zhang Lijun,
Luo Jian
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6238
Subject(s) - dijkstra's algorithm , computer science , router , internet topology , distributed computing , mathematical optimization , topology (electrical circuits) , the internet , energy (signal processing) , shortest path problem , computer network , network topology , graph , engineering , mathematics , theoretical computer science , electrical engineering , statistics , world wide web
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.