Real-time pricing method for smart grid based on social welfare maximization model

With the applications of big data, research real-time pricing method for smart grid has become increasingly important. Based on demand side management and model, social welfare maximization model is considered. We transform it by Karush-Kuhn-Tucker condition, then transformed into a nonsmooth equation Fischer-Burmeister function. Then, taking advantage simple calculation small storage, we propose new smoothing conjugate gradient to solve problem based maximization. Under general conditions, global convergence proposed proved. Finally, numerical simulation results show effectiveness solving problems