Research On Routing Technology Of Power Distribution And Utilization Information Based On Wireless Sensor Networks

The development of intelligent power distribution network can not be separated from the use of electricity transmission network,due to the historical economic and technical conditions,the communication system of power distribution and utilization network suffered less attention,need to be developed nowadays.The total size of the grid is large,the number of network access points is enormous,the distribution range is wide,the number of access nodes changes rapidly,and the distribution scale is different in different regions.These features make the wireless sensor networks(WSN),which has the advantages of low cost,convenient layout and flexible topology is very suitable for constructing the power distribution and utilization network.Routing technology is one of the key technologies of WSN due to the limited power supply,improving energy efficiency and extending the network life cycle is an important goal of WSN routing algorithm.This paper studies the distribution and utilization information routing technology based on WSN.Information transmission can be divided into two processes: the first is the process of monitoring information of sensor nodes are transmitted to sink node of WSN.Aiming at this process,this paper proposes a routing algorithm suitable for linear,small-scale plane and large-scale planar WSN in combination with typical application scenarios in the grid.The second is the process of collecting data from the aggregation node to the data management center.In this regard,the data compression algorithm for reducing the amount of transmission is studied.The main contents of this paper are as follows:(1)The WSN is applied in the construction of the leakage current monitoring system of the distribution insulator.Network model is established according to the characteristics of distribution network transmission line.Based on the analysis of the characteristics of node distance in the distribution network,the MTE algorithm with point-by-point transmission method is more efficient in this application.By using the node energy in the communication range of the node,the improved algorithm IMTE of MTE is proposed.By using the remaining energy of nodes in the communication range of the sink node,IMTE(Improved MTE)is proposed.The simulation results show that the IMTE algorithm can effectively extend the network life cycle and life cycle extension effect is better when the network size is small.(2)The WSN is applied to the smaller utilization network.In order to facilitate network management,the clustering routing algorithm is adopted in the network.In order to solve the problem of clustering unreasonable and clustering distance inequality in LEACH,the clustering algorithm based on hierarchical is first proposed.The applicability of the algorithm in node clustering is verified by simulation.By considering the residual energy of the nodes in the cluster,the routing algorithm based on hierarchical clustering is then proposed.The simulation results show that the algorithm is superior to LEACH in terms of energy efficiency and life cycle.(3)The WSN is applied to the larger utilization network.Considering the limited communication range of nodes,a network model of tree structure is established for large-scale intelligent electricity information acquisition system.On the basis of this model,the initial path planning method based on node residual energy and transmission energy is proposed firstly.Then,an optimization algorithm based on protecting weak nodes is proposed as the hotspots problem still exist in the initial algorithm.The optimization algorithm defines the node discriminant function and the network eigenvalue by considering the energy consumption of the node and the energy consumption of the whole network.The optimization path is obtained by changing the initial path constantly.Finally,the algorithm performance is verified by simulation.The results show that the optimization method of this paper can improve the energy balance of the network and prolong the network life cycle.(4)The total amount of data transmission in the transferring process of the node information to the background data management center is large and the cost is high.For this problem,the compression algorithm based on compressed sensing is proposed in this paper.In this paper,the method of threshold judgment and time difference is used to sparse the leakage current data of the insulator and the raw data of electricity information acquisition system.Through the above method,the compressive sensing theory can be used in the data transmission process.The data compression effect is simulated by generating random sparse data in the paper.The simulation results show that the algorithm can effectively compress the amount of data to be transmitted by the sink node.