The Distribution Network Reconfiguration Based on Spatial Data Mining

Abstract:

Distribution network reconfiguration is one of the essential functions of the DMS system; it can be attributed to a number of constraints of large-scale nonlinear combinatorial optimization problem in mathematics. The characteristic of load change of time and space will affect the results of load forecasting. Distribution network reconfiguration relies on the load forecasting results. This paper proposes the more realistic distribution reconfiguration scheme based on the GIS system with space information through spatial data mining. For the real-time and efficiency of effective assurance data, the interface design in GIS system and distribution automation system are also proposed. The geographical information and real-time information are connected seamlessly, so that this two system information is highly unified. The solution can provide the data basis for distribution reconfiguration scheme accurately, and improve power supply reliability of distribution network. It shows that through the example: GIS based on the spatial data mining can provide load in quantity, time, space prediction for the deeper research of distribution network reconfiguration.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 2748-2751
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.2748
• Online since: September 2013
• Authors: Jia Yin Sui*, Ying Nan Wang, Zhe Ren
• Keywords: Distribution Automation, Distribution Network Reconfiguration, GIS, Load Prediction, Spatial Data Mining

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