By Topic

Loss-Minimized Distribution System Reconfiguration by Using Improved Multi-agent Based Particle Swarm Optimization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hong-Tzer Yang ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yi-Te Tzeng ; Men-Shen Tsai

In a distribution system, the system loss caused by line resistance can be minimized by changing its network configuration. For minimizing system loss, reconfiguration of the network is performed by opening or closing switches in the distribution system to achieve different combinations of switching status. A stochastic optimization technique of particle swarm optimization (PSO) based on the multi-agent system (MAS) is introduced and improved in this paper to solve the distribution system reconfiguration problem. To further enhance the efficiency of the algorithm, the hashing scheme is proposed to eliminate the repeated power flow analyses. The proposed method is verified in a 33-bus test system and compared with current heuristic methods to demonstrate its effectiveness.

Published in:

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Date of Conference:

28-31 March 2010