Study On Spectrum Sensing For Smart Grid

Compared with wired communication,wireless communication,with its wide coverage,low cost,convenient,flexible and mobile characteristics,can solve the problems that can not be solved by wire communication in many application scenarios of smart grid.In the future smart grid will need to deal with various types of sustained growing communications and power data.At present,our country distributes scarce spectrum resources to smart grid.This requires sufficient available radio spectrum resources.However,the spectrum resources allocated to the power grid in our country are comparatively scarce.Spectrum sensing can solve the contradiction between scarcity and inadequate utilization of spectrum resources.This thesis focuses on spectrum sensing for smart grid,and researches demand response management and defense schemes against spectrum sensing data falsification attack.The main work can be summarized as follows:First,based on the analysis of spectrum resource in smart grid,the influence of spectrum sensing technology on demand response management is studied.Simulation proves that cooperative spectrum sensing improves the correct detection rate and improves the channel switching rate.It reduces the average packet loss rate,thereby improving the control performance of demand response management.Second,the simulation is carried out by three methods: cooperative spectrum sensing,single node spectrum sensing and no spectrum sensing.Cooperative spectrum sensing is compared to the other two methods.The average packet loss rate of communication is the lowest,and the demand response management performance is the highest.The sensing time required to achieve performance requirements is minimum.In addition,considering the energy consumption of cooperative spectrum sensing,it is proved that the best spectrum sensing time and the number of nodes exist to achieve the best tradeoff between performance and energy consumption.Simulation results verify the theoretical analysis results.Last,the impact of spectrum sensing data falsification attack on cooperative spectrum sensing performance is analyzed.An improved trust degree fusion algorithm based on trust node is proposed.Simulation results prove that malicious users attacking at any time,the improved algorithm can eliminate all malicious users more quickly than the original algorithm.When the cognitive user's SNR changes,the improved algorithm improves the correct detection rate.