DocumentCode :
2197383
Title :
Wireless integrated network sensors (WINS) implementation in substation automation (SA)
Author :
Godrich, K.L.
Author_Institution :
ENet Power Inc., NJ, USA
fYear :
2004
fDate :
6-10 June 2004
Abstract :
Summary form only given. This paper present a novel approach to the SA communication that is tailored to this level of resolution of sensors using wireless integrated network sensors (WINS). We refer to the substation as a sensor field (SF) which includes the sensor nodes (SN) scattering inside as the end units for the entire system. The SF is communicating with the user/task manager node through a sink, which is responsible for an event area (EA), using multiple wireless communication paths. This paper present a technical model for the implementation technique of the WINS to the SA, as well as some economical aspects. MV systems was used in the examples and simulations that support the model and the whole approach that might raise the level of SA reliability towards fault tolerance. The authors believe that the WINS will became a serious player also in the flexible AC transmission systems (FACTS) and in the distributed energy sources (DER) applications due to the topology of those systems and the interconnections common protocols developed these days.
Keywords :
broadband networks; distributed power generation; fault tolerant computing; flexible AC transmission systems; substation automation; wireless sensor networks; Wireless integrated network sensors; distributed energy sources; event area; fault tolerance; flexible AC transmission systems; multiple wireless communication paths; sensor field; sensor nodes; substation automation; user/task manager node; Density estimation robust algorithm; Fault tolerant systems; Flexible AC transmission systems; Power generation economics; Scattering; Sensor systems; Substation automation; Tin; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-8465-2
Type :
conf
DOI :
10.1109/PES.2004.1372999
Filename :
1372999
Link To Document :
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