Based on Artificial Intelligent Algorithm for Optimization of Urban Radial Distribution Network

Article Preview

Abstract:

This paper summarized the basic steps and processes of urban distribution network planning. It used genetic algorithm with strong global optimization ability for medium voltage distribution network substation outlet to make optimization calculation, and then formed radiation type of power supply network. According to the radial network structure, considering the limitation of the outlet of substation standby capacity and reliability constraint conditions, to meet the situation of minimum investment cost, determined the connection mode of distribution network and contact line direction. This paper adopts an actual distribution network planning project of Tianjin as an example, according to the load forecasting results, determine the connection mode of distribution network and contact line direction, the results meet the reliability, economy and other requirements.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

724-727

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHANG Wen-jun, CHENG Hao-zhong, CHENG Zheng-min. Proceedings of the CSU-EPSA, 2008, 20(5):17-23(in Chinese).

Google Scholar

[2] MAO Li-fan. Research on power network planning in long-term load forecasting technology[D]. Hunan: Hunan University, 2011(in Chinese).

Google Scholar

[3] XIONG Xin-yin, WU Yao-wu. Genetic algorithm and its application in power system [M]. Wuhan: 2002(in Chinese).

Google Scholar

[4] HOU Jian-hua. Improvement of Genetic Algorithm for TSP and Its Parallelization Study [D]. Chengdu: Chengdu Technology University, 2004(in Chinese).

Google Scholar

[5] HUANG Qi-wei, LIU Jian. Automation of Electric Power Systems, 2008, 32(7):73-77(in Chinese).

Google Scholar