Research On Power Short-term Load Forecasting In SG Area Based On Fuzzy Neural Network

Whether the power system load forecasting result is accurate or not has very important influence on the security,stability and economy of the power system operation in our country.Accurate power load forecasting can arrange the internal power generating units and reasonable operation,maintain the security and stability of power system;maintenance scheduling unit can be reasonable,to ensure the normal production and people's normal life of the society;can determine the size and power of the newly installed capacity scheduling control,reduce power cost,improve economic efficiency and social benefits.Based on the analysis of the status quo and various forecasting methods,forecasting short-term load forecasting model based on the present,according to the variation of power load characteristics,considering the influencing factors of the load date type,temperature,weather forecast,using fuzzy neural network algorithm prediction methods for short-term load forecasting of power system based on SG.According to the programming method introduced in this paper,the simulation results show that the fuzzy neural network algorithm to improve the shortcomings of the original algorithm to a certain extent based on,and is able to make up for the disadvantages of a single algorithm correction,simulation results show that it has a certain practical feasibility.