By Topic

Application of intelligent algorithm in island detection of distributed generation

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)
Xia Lin ; Sch. of Electr. Eng., Hohai Univ., Nanjing, China ; Xiaofeng Dong ; Yuping Lu

In the grid-connection, the distributed generation system in the status of the islanding is liable for damage to equipment, affecting the performance of the utility. Seriously, island may create a hazard for utility line-worker. Islanding detection methods for distributed generation system are reviewed. Characterized by high efficiency and performance, C4.5 decision-tree is particularly applicable to the condition of large amounts of mining data. The paper proposes a new approach based on C4.5 decision-tree for islanding detection in distributed generation system. Without any negative effect on the power quality, this novel method greatly reduces the damage to the utility resulting from the islanding running state, and also highly enhances the capability of detecting islands of the protection relay. How to construct C4.5 decision-tree on the basis of past operation data of an existed distributed generation system was introduced in detail firstly. And this method was tested on a typical distribution system with multiple distributed recourses by using Matlab/Simulink tools. The simulation results show that C4.5 decision-tree is effective and the island operating mode of DGs can be totally forecasted by this new algorithm.

Published in:

Transmission and Distribution Conference and Exposition, 2010 IEEE PES

Date of Conference:

19-22 April 2010