Research On Power System Short-term Load Forecast

Power system short-term load forecast is the basis of power system optimization running . It can affect safety property .reliability and economy of power system running . Thus , to find effectual method has important meaning for enhancing forecast precision. So far, researchershave come up with much method .This paper used a popular method-neural network to forecast short-term load of power system .The main work included:1. Looking into the present condition of power system short-term load forecast and summarizing research method in the world .2. Studying knowledge about neural network , designed BP network based on conjugate gradient algorithm and improved RBF network . They were used in load forecast and results showed the two approaches were feasible .Compared with common BP network , they shortened training time and enhanced forecasting precision .3. Studying wavelet knowledge , attempting to combine wavelet and neural network to design WNN . The results showed this approach was also feasible , then this approach was compared with other method .4. At last, summarizing the work had done , coming up with some improved proposal and introducing development possibility of short-term load forecast of power system .