Identifying Community in Feeding Areas of Local MV Power Distribution Systems Based on Multispectral Image Classification

Luemongkol T., Kulworawanichpong T.

9th WSEAS International Conference on Power Systems, Budapest, Hungary, 3 - 05 September 2009, pp.164-165 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.164-165
  • Istanbul Technical University Affiliated: No


This paper presents an approach of identifying community size in feeding area of local MV power distribution systems by using satellite image processing. Information of community size is essential and can be useful to estimate electric energy used by local customers. Infrared band of satellite images can be used for this purpose. ENVI and GIS ArcView software are both working tools in this paper. Satellite images of LANDSAT 7 covered a test area in Nakhon Ratchasima 2 distribution feeders were employed for test. The results obtained from the satellite image processing based on ISODATA unsupervised classification can be used in associative with GIS information of the power distribution feeder to visualize feeder load allocation in the community point of view.