Title :
A C4.5-based research on islanding detection in distributed generation system
Author :
Xiaofeng Dong ; Yuping Lu ; Yi Yang
Author_Institution :
School of Electrical Engineering Southeast University Nanjing China
Abstract :
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 (DG) 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.
Keywords :
C4.5; Data Mining; Distributed Generation; Islanding Detection;
Conference_Titel :
Advances in Power System Control, Operation and Management (APSCOM 2009), 8th International Conference on
Conference_Location :
Hong Kong, China
DOI :
10.1049/cp.2009.1847