Research Of The Power Load Forecasting And Optimization Based On GIS

Spatial load forecasting is a basic power of distribution network planning. In distribution network planning,not only to predict the amount of load, but also to predict the location of load. In order to carry out the distribution of network planning and routing points,only on the basis of determining the load on the spatial distribution.In this paper,study the short-term spatial load forecasting method of the distribution network , using GIS(Geographic Information System) spatial information distribution function.In this paper,aiming at distribution network for spatial load forecasting need of data to collect,extract and analyze the raw data which needed,using the powerful spatial data extraction and analysis capabilities of GIS.Study the load forecasting algorithm deeply,use distribution network of the actual spatial load forecasting model to combine fuzzy logic system,integration of artificial neural network on their own advantages,use RBF neural network adjust fuzzy sets and fuzzy training rules to make load forecasting adapt to the development of the city according to the actual situation.So,it propose a spatial load distribution network prediction of the detailed steps based on GIS.Through the GIS system to divide community into a number of regional power supply consistency size,use fuzzy inference on the community to carry out score,through the RBF network of the distribution of land use to educe decision of the using land.Finally, calculate the value of load forecasting community.In this paper,the distribution network spatial load forecasting steps at the actual project has been verified,it Shows that the methods are effective,particularly apply to the limited computing resources.