The Research Of Electrical Bus Load Forecasting

The bus load in substation is an important basis for power grid to grid operation mode and power dispatch,and is a prerequisite for improving the lean and intelligent level of power enterprise dispatch,and is a foundation for realizing national production and power enterprise energy saving and consumption reduction,as well as a guarantee for economic operation of power equipment and reasonable arrangement of production dispatch.A method of the bus load forecast based on fuzzy neural network is presented to improve the disadvantages of the prediction precision and artificial neural network in this paper.The main work of this paper is as follows.Firstly,based on the subject research and engineering requirements,the internal correlation between bus load and load characteristics of substation is analyzed,considering the neural network has good nonlinear mapping ability,and the characteristic of the substation bus load forecasting,artificial neural network is proposed in this paper to build substation bus load forecasting model,providing methods and basis for the subsequent construction of bus load prediction model of substation.Secondly,the bus load prediction model of substation is established based on BP neural network.On this basis,considering the typical climatic characteristics of Nanning,the corresponding fuzzy processing of temperature and weather is carried out,combined with fuzzy logic theory and artificial neural network improve the commonly used bus load prediction model.Finally,a data processing method based on wavelet decomposition is proposed,which is combined with the fuzzy neural network model to make it more suitable for bus load forecasting in Nanning substation,and the forecasting effect is better.The prediction results show that the fuzzy neural network model based on wavelet decomposition has higher prediction accuracy and is more suitable for bus load forecasting in Nanning substation.It also shows that the content of text research has broad research prospects and practical value.