Research On Key Technologies Of Multi-Radio Multi-Channel Wireless Mesh Network For Electric Power System

With the development of the National Energy Internet and the Ubiquitous Power Internet of Things,building a new generation of open and shared power system with wide interconnection,intelligent interaction,flexibility,security and controllability has become an inevitable trend.The Ubiquitous Power Internet of Things with massive high-density terminals and high quality of services requires a more reliable and efficient power system communication network.Wireless Mesh Network(WMN)applied widely in our society.The application of Multi-Radio Multi-Channel(MRMC)technology will further enhance the throughput and capacity of WMN.In this paper,a MRMC-WMN based power communication network structure is proposed.In order to meet the requirements of the power system communication network,in terms of throughput,delay,reliability,security,service classification,and green energy saving,a series of optimization algorithms for MRMC-WMN based power communication network is proposed,such as channel allocation algorithm,queue scheduling algorithm,energy efficiency algorithm,and physical layer security algorithm.The main contributions in the work are listed as follows:(1)The requirements of some typical power traffic are investigated,in terms of bandwidth,delay,reliability,etc.According to the characteristics of different application scenarios and business requirements of the power system,a series of differentiated forms of power MRMC-WMN structures are researched.(2)In order to describe the inter-channel interference of MR nodes under partially overlapping channels more accurately,this paper proposes a logical link-based interference model.Based on this interference model,a link-based partial overlapping channel allocation game model is established.The service quality of different levels of power business is distinguished by adding a link weight factor into the game revenue function.The Nash equilibrium of this game model is proved through mathematical derivation.To improve the convergence speed of the algorithm,a partially overlapping channel allocation algorithm with variable probability evolution is also proposed.In the evolution process,the selection probability of each channel in the next iteration is adjusted according to its benefits of the game revenue function.The algorithm converges rapidly and has the ability to avoid local optimization.(3)In order to reduce the transmission delay,a distributed rate control delay guarantee scheduling algorithm is proposed.The MRMC-WMN queue model based on multi-dimensional conflict graph is constructed by a series of virtual and actual queue.The requirements of power business,such as delay,transmission rate,and throughput are converted into queue stability problems,which are solved by Lyapunov's multi-objective optimization method.By the way,the scheduling algorithm proposed in this paper can make scheduling decisions only through the local information,which improveS the flexibility and scalability of the network.(4)In order to improve the energy utilization efficiency of the system,a multi-radio energy efficiency optimization algorithm based on energy harvesting is proposed.This algorithm adopts a hybrid energy supply scheme of Energy Harvesting(EH)and power grid supply,which can ensure the reliability of the system while improving energy efficiency.The energy efficiency optimization problem based on EH and power allocation is established,and the optimal solution is solved by utilizing fractional linear fractional programming and dual Lagrangian decomposition.An off-line power allocation algorithm is proposed based on fixed input EH energy.an online power allocation algorithm is further pooposed.(5)The cooperative jamming method is adopted to improve the security of the system.Based on cooperative jamming and Simultaneous Wireless Information and Power Transfer(SWIPT),a reliable beamforming algorithm is proposed,which considers both the impact of the uncertain channel state information and the nonlinear EH model in the system.Combining constraints such as the channel quality requirements of the communication nodes,the EH thresholds,the transmission power thresholds,and the system safety thresholds,a transmission antenna beamforming optimization problem is established.The optimization problem is transformed into a Semi-Definite Programming(SDP)by the S-procedure method and then solved by the convex optimization method.