Abstract:Introducing cognitive radio technology into smart grid demand response management (DRM) is an important method to alleviate the shortage of spectrum resources and improve the quality of communication. In order to ensure the spectrum sensing performance under low SNR, this paper studies a DRM method based on real-time pricing, and gives the expression of the global optimization problem to solve the social benefit maximization of smart grid. The energy detection algorithm based on generalized stochastic resonance (GSRED) algorithm is adopted to achieve reliable spectrum sensing. The influence of outage probability and perception time on DRM control performance is also analyzed. The simulation results show that setting a reasonable sensing time can maximize the social benefits of the smart grid and optimize the DRM control performance without excessively increasing the complexity and sensing delay of the DRM system. In addition, applying GSRED algorithm to energy detection in spectrum sensing can obtain lower outage probability and better control performance.