학술논문
Data Mining Approach to Threshold Settings of Islanding Relays in Distributed Generation
Document Type
Periodical
Author
Source
IEEE Transactions on Power Systems IEEE Trans. Power Syst. Power Systems, IEEE Transactions on. 22(3):1112-1119 Aug, 2007
Subject
Language
ISSN
0885-8950
1558-0679
1558-0679
Abstract
This paper introduces a new approach for determination of the threshold settings of islanding relays in distributed generation (DG) interconnections. This approach uses data-mining technology to extract the optimal relay settings information from a large data set of system parameters. This data is constructed from offline simulation analyses of events and consequences. The mining of these consequences defines the boundary limits of the threshold settings that could secure the detection of islanding operations under: minimum detectable zones, multiple distributed resources (DRs), diverse distributed resource technologies, various operating conditions, and different network topologies. The approach is tested on a typical DG with multiple distributed resources, and the results indicate that this approach can be used effectively to support the setting relay decision.