Research On NOMA-Based Power Allocation Method For Smart Grid Demand-Side Communication Networks

With the rapid improvement of the world’s industrial production level,the power load of the power grid has also increased rapidly,which has greatly increased the power supply pressure of the power grid and brought about problems such as the lack of periodic power peaking capacity.In order to enhance the regulatory capacity of the power grid and improve the reliability of the power transmission network,demand response(DR)mechanisms with flexible scheduling and fast response characteristics are deployed in smart grids to achieve the balance between supply and demand in the power network.To achieve an efficient and reliable DR mechanism,basic communication networks and advanced communication technologies are indispensable.Therefore,in response to the unreasonable allocation of communication resources and the shortage of communication spectrum resources in the smart grid demand side communication network,this article introduces advanced communication technologies such as Cognitive Radio(CR),Beam Forming(BF),Non Orthogonal Multiple Access(NOMA),and relay technology to improve the transmission rate of power grid data,.Improve the information transmission rate between the demand-side data transmission equipment and reduce the operating costs of the power company by reasonably allocating the power and BF vector,as follows:First of all,considering the problem of spectrum shortage during relay-assisted transmission in electrical power communication(EPC)network,this paper designs an adaptive serial interference cancellation scheme based on overlay NOMA spectrum sharing.On the premise of meeting the quality of service of the authorized network,the relay assisted CR-NOMA technology is adopted and the same-layer interference and NOMA self-interference are considered to conduct interference management and power allocation,improve the transmission rate of the EPC network and reduce the cost of the power company.This paper proposes a joint optimization algorithm based on continuous convex approximation to solve the non-convex problem to obtain power allocation coefficients and relay power.Simulation results show that the relay-assisted CR-NOMA spectrum sharing scheme can reduce the operating costs of power companies.Secondly,the mutual interference and communication spectrum resource shortage faced by the demand side communication network of the smart grid are further studied,and a relay assisted multi cluster communication network model combining CR-NOMA and BF is considered.Without affecting the quality of service of the authorized network,by reasonably optimizing the allocation of relay DAU power and the power allocation coefficient and beamforming vector of the control center,mutual interference within,between,and between two-level networks can be reduced,maximizing the transmission rate of the communication network,and reducing the operating costs of the power company.Because the problem is a multivariable coupled non-convex problem,this paper proposes an alternate optimization algorithm that combines fractional programming,Lagrange transformation,and continuous convex approximation to obtain the optimal solution.The effectiveness of the proposed algorithm is verified by simulation,and it is proved that the model and algorithm can significantly reduce the cost of power companies.