Title :
Study on distribution network expansion planning improved algorithm based on QPSO for contain distributed power
Author :
Ming-Guang Zhang ; Shi-Liang Wang
Author_Institution :
Sch. of Electr. Eng., Lan Zhou Univ. of Technol., Lanzhou, China
Abstract :
When distributed power is connected to distribution network, it will produce all kinds of influence on distribution network. So we need to optimize all kinds of distributed power that access the distribution network. Mathematical model which contains the distributed power distribution network expansion planning is presented in this paper, takeing construction and maintenance cost minimum as objective function and applying binary coding quantum particle swarm algorithm to optimize type, location and capacity of distributed power and new or upgraded lines. To solve a large number of infeasible solutions of which is caused by distribution network planning, the related literatures are referred to repair infeasible solution, isolated chain and ring, converts the non-radial network to radial network. The example analysis shows that the planning schemes of power distribution network planning are more diversity and robustness.
Keywords :
binary codes; mathematical programming; particle swarm optimisation; power distribution economics; power distribution planning; QPSO; binary coding quantum particle swarm algorithm; cost maintenance; distributed power distribution network expansion planning improved algorithm; mathematical model; nonradial network; objective function; quantum behavior characteristics of particle swarm optimization; radial network; Abstracts; Analytical models; Manganese; Optimization; Robustness; Sociology; Statistics; Binary code; Distributed power; Distribution network planning; QPSO; Restoration of infeasible solution;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009102