Title :
Power network planning with ant colony algorithm
Author :
Huang, Xun-Cheng ; Liu, Zhong-jing ; Huo, Xiao-jiang ; Tang, Jian ; Yan, Zhi-An ; Qi, Huan
Author_Institution :
HuaZhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
At present, mathematic model for power grid program has more requirement, traditional method can´t fulfil it. Ant colony algorithm has been successfully used to solve NP problem in many fields. In this paper, a new ant colony algorithm of improving key parameters to solve power network planning is presented. For a given power network model, this algorithm will find out the best routing path only if it exits. Some examples show that this algorithm is more intelligent and efficient than other ones.
Keywords :
optimisation; power system planning; NP problem; ant colony algorithm; power grids; power network planning; Construction industry; Costs; Environmental economics; Power generation economics; Power grids; Power supplies; Power transmission; Propagation losses; Substations; Technology planning; Ant Colony Algorithm; Combinatorial Optimization; Power Network Planning;
Conference_Titel :
Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3866-2
Electronic_ISBN :
978-1-4244-3867-9
DOI :
10.1109/BICTA.2009.5338087