For optimal planning distributed generation (DG) in the distribution network well, this paper proposed the approach to optimal configuration DG on the distribution planning platform(DPP). This paper analyzed the zone selection for placement DGs, and built the selective zone’s network on the DPP. The site and size of DG was determined according to the node priority, the annual minimum electric power loss and maximum economic benefit. Moreover, the power flow was calculated after and before placing DGs, and the results were showed on the DPP, which included power flow, node voltage, and the siting and sizing of DG. By the planning DG results under different load instance, it is more intuitive to analyze the node voltage, branch flow and loss, and to observe the site and size of DG on the DPP. The method provides the necessary support of data and technology to optimal planning DG.

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.