Research On Charging Planning For Wireless Rechargeable Sensor Networks In Smart Grid

With the continuous development of wireless chargeable sensor network technology,its application field is more and more extensive.In recent years,wireless rechargeable sensor network plays an extremely important role in smart grid.It can effectively monitor the operation status of power equipment for a long time and improve the security and stability of smart grid by early warning and location of transmission line faults.However,the energy carried by sensor nodes is limited.In order to make the network work effectively for a long time,it is of great practical significance to design a reasonable charging optimization scheme to improve the stability of the network.Currently,some achievements have been made in the charging planning of wireless rechargeable sensor networks.Most scholars use mobile charging vehicles as chargers to conduct charging planning research,which effectively improves the energy rate of the charging vehicle and prolongs the life cycle of the network.Based on this,this paper studies the charging network to charge sensor network monitoring planning for smart grid.The specific research is as follows:(1)This paper analyzes the application of wireless sensor network in smart grid,and explores the mobile charging problem and solve method based on the charging scheme of wireless rechargeable sensor network.Additionally,different charging strategies of mobile charging vehicle are introduced according to the actual situation.(2)Aiming at the problem of network node failure due to energy exhaustion,the charging scheme of small-scale wireless rechargeable sensor network in static mode of wireless rechargeable sensor network isproposed in this paper.Considering the problem that the frog leaping algorithm is easy to fall into local convergence and the frog quality is not high,the Cauchy mutation operator and the elite strategy are introduced to propose an ACSFLA(Accelerated Shuffled Frog Leaping Algorithm,ACSFRA)algorithm to solve the optimization problem of charging.The simulation results show that the algorithm solves the problem quickly,effectively improves the energy utilization rate of the charging car and reduces the driving distance of the charging car.(3)In the dynamic mode of large-scale wireless rechargeable sensor network,this paper proposes a charging optimization scheme with time window combining the heuristic algorithm and ACSFRA algorithm to design a multi-charging vehicle optimization algorithm MMCSA(Multiple)for large-scale network.Mobile charger Charging Scheduling Algorithm(MMCSA)adopts the minimum charge quantity and node position convex hull to construct the initial path,and proposes that the charging vehicle travel distance increment is minimum to determine the optimal insertion position of the node.Finally,the path is re-optimized by the AFSFLA algorithm to achieve a complete dynamic multi-charging vehicle charging plan.The simulation results show that the MMCSA algorithm not only solves the optimization problem fast,but also effectively reduces the number of charging vehicles,reduces the mobile energy consumption,and improves the energy utilization efficiency.