Title :
A new analysis method for shipboard power network based on data structure of “Tree”
Author :
He, Huiying ; Xia, Li ; Huang, Jing ; Xiong, Hao
Author_Institution :
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
According to the structure characteristic analysis of the shipboard power network, a new analysis method based on the data structure of \´Tree\´ is presented firstly for the shipboard power network. In terms of the features of the shipboard power network, the shipboard power network is divided to two levels as power supplying network and power distribution network. The connected component of the power supplying network is equivalent to the "Root" of the data structure of \´Tree\´, the nodes of power distribution network are identified as the "Sub Tree" or "Leaf of "Tree", and hence the topology model of the shipboard power network is set up. The improved algorithm of node-switch correlation matrix self-multiplying for the power supply network avoids the matrix multiplication and saves time and space. The topology tracking of the network is converted into the merger and decomposition of the roots, the shift of double line power supply branches and general branch switch changes etc. Case analysis evaluates that the proposed method of "Tree" is more accurate, simpler and easier to realize for describing the shipboard power network, and hence efficiency is improved significantly.
Keywords :
distribution networks; graph theory; network topology; power supplies to apparatus; power systems; ships; tree data structures; double line power supply; node switch correlation matrix; power distribution network; power supply network; power supplying network; shipboard power network; structure characteristic analysis; tree data structure; Generators; Network topology; Power grids; Power supplies; Switches; Topology; identifying; network topology; shipboard power system; tracking; tree;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6056815