Abstract.To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change. Based on the linear regression analysis, the mathematical model of load forecasting was presented with considering the temperature effect, and the steps of load forecasting were given. Used MATLAB, the temperature regression coefficient was calculated. Using the load forecasting model, the full-day load forecasting and time-sharing load forecasting were carried out. By comparing and analyzing the forecast error, the results showed that the error of time-sharing load forecasting method was small in this paper. The forecasting method is an effective method to improve the accuracy of load forecasting.

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.